Artificial Intelligence Over Infrared Images For Medical Applications And Medical Image Assisted Biomarker Discovery

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Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery

Siva Teja Kakileti,Maria Gabrani,Geetha Manjunath,Michal Rosen-Zvi,Nathaniel Braman,Robert G. Schwartz,Alejandro F. Frangi,Pau-Choo Chung,Christopher Weight,Vekataraman Jagadish
Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery Book PDF

Author : Siva Teja Kakileti,Maria Gabrani,Geetha Manjunath,Michal Rosen-Zvi,Nathaniel Braman,Robert G. Schwartz,Alejandro F. Frangi,Pau-Choo Chung,Christopher Weight,Vekataraman Jagadish
Publisher : Springer Nature
Page : 201 pages
File Size : 49,9 Mb
Release : 2022-11-19
Category : Computers
ISBN : 9783031196607

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Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery by Siva Teja Kakileti,Maria Gabrani,Geetha Manjunath,Michal Rosen-Zvi,Nathaniel Braman,Robert G. Schwartz,Alejandro F. Frangi,Pau-Choo Chung,Christopher Weight,Vekataraman Jagadish Pdf

This book constitutes the refereed proceedings of the ​First Workshop on Artificial Intelligence over Infrared Images for Medical Applications, AIIIMA 2022, and the First Workshop on Medical Image Assisted Biomarker Discovery, MIABID 2022, both held in conjunction with MICCAI 2022, Singapore, during September 18 and 22, 2022. For MIABID 2022, 7 papers from 10 submissions were accepted for publication. This workshop created a forum to discuss this specific sub-topic at MICCAI and promote this novel area of research among the research community that has the potential to hugely impact our society. For AIIIMA 2022, 10 papers from 15 submissions were accepted for publication. The first workshop on AIIIMA aimed to create a forum to discuss this specific sub-topic of AI over Infrared Images for Medical Applications at MICCAI and promote this novel area of research that has the potential to hugely impact our society, among the research community.

Artificial Intelligence Over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery

Siva Teja Kakileti,Maria Gabrani,Geetha Manjunath,Michal Rosen-Zvi,Nathaniel Braman,Robert Glenn Schwartz,Alejandro F. Frangi,Pau-Choo Chung,Christopher Weight,Vekataraman Jagadish
Artificial Intelligence Over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery Book PDF

Author : Siva Teja Kakileti,Maria Gabrani,Geetha Manjunath,Michal Rosen-Zvi,Nathaniel Braman,Robert Glenn Schwartz,Alejandro F. Frangi,Pau-Choo Chung,Christopher Weight,Vekataraman Jagadish
Publisher : Unknown
Page : 0 pages
File Size : 42,8 Mb
Release : 2022
Category : Artificial intelligence
ISBN : 8303119664

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Artificial Intelligence Over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery by Siva Teja Kakileti,Maria Gabrani,Geetha Manjunath,Michal Rosen-Zvi,Nathaniel Braman,Robert Glenn Schwartz,Alejandro F. Frangi,Pau-Choo Chung,Christopher Weight,Vekataraman Jagadish Pdf

This book constitutes the refereed proceedings of the First Workshop on Artificial Intelligence over Infrared Images for Medical Applications, AIIIMA 2022, and the First Workshop on Medical Image Assisted Biomarker Discovery, MIABID 2022, both held in conjunction with MICCAI 2022, Singapore, during September 18 and 22, 2022. For AIIIMA 2022, 7 papers from 10 submissions were accepted for publication. This workshop created a forum to discuss this specific sub-topic at MICCAI and promote this novel area of research among the research community that has the potential to hugely impact our society. For MIABID 2022, 10 papers from 15 submissions were accepted for publication. This workshop brought together together clinical, AI, regulatory, and pharmaceutical experts to review scientific progress and challenges in the development of AI-powered biomarkers leveraging medical imaging.

Artificial Intelligence over Infrared Images for Medical Applications

Siva Teja Kakileti,Geetha Manjunath,Robert G. Schwartz,Alejandro F. Frangi
Artificial Intelligence over Infrared Images for Medical Applications Book PDF

Author : Siva Teja Kakileti,Geetha Manjunath,Robert G. Schwartz,Alejandro F. Frangi
Publisher : Springer Nature
Page : 154 pages
File Size : 53,8 Mb
Release : 2023-09-28
Category : Computers
ISBN : 9783031445118

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Artificial Intelligence over Infrared Images for Medical Applications by Siva Teja Kakileti,Geetha Manjunath,Robert G. Schwartz,Alejandro F. Frangi Pdf

This book constitutes the refereed proceedings of the ​Second Workshop on Artificial Intelligence over Infrared Images for Medical Applications, AIIIMA 2023 held in conjunction with MICCAI 2023, held in Vancouver, BC, Canada, on October 2, 2023. The 10 full papers presented in this book were carefully peer reviewed and selected from 15 submissions. The second workshop on AIIIMA, similarily to the first, aimes to create a forum to discuss the specific sub-topic of AI over Infrared Images for Medical Applications at MICCAI and promote this novel area of research, that has the potential to hugely impact our society, among the research community.

Artificial Intelligence-based Infrared Thermal Image Processing and its Applications

U. Snekhalatha,K. Palani Thanaraj,Kurt Ammer
Artificial Intelligence based Infrared Thermal Image Processing and its Applications Book PDF

Author : U. Snekhalatha,K. Palani Thanaraj,Kurt Ammer
Publisher : CRC Press
Page : 272 pages
File Size : 55,5 Mb
Release : 2022-09-28
Category : Medical
ISBN : 9781000688450

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Artificial Intelligence-based Infrared Thermal Image Processing and its Applications by U. Snekhalatha,K. Palani Thanaraj,Kurt Ammer Pdf

Infrared thermography is a fast and non-invasive technology that provides a map of the temperature distribution on the body’s surface. This book provides a description of designing and developing a computer-assisted diagnosis (CAD) system based on thermography for diagnosing such common ailments as rheumatoid arthritis (RA), diabetes complications, and fever. It also introduces applications of machine-learning and deep-learning methods in the development of CAD systems. Key Features: Covers applications of various image processing techniques in thermal imaging applications for the diagnosis of different medical conditions Describes the development of a computer diagnostics system (CAD) based on thermographic data Discusses deep-learning models for accurate diagnosis of various diseases Includes new aspects in rheumatoid arthritis and diabetes research using advanced analytical tools Reviews application of feature fusion algorithms and feature reduction algorithms for accurate classification of images This book is aimed at researchers and graduate students in biomedical engineering, medicine, image processing, and CAD.

Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing

Rohit Raja,Sandeep Kumar,Shilpa Rani,K. Ramya Laxmi
Artificial Intelligence and Machine Learning in 2D 3D Medical Image Processing Book PDF

Author : Rohit Raja,Sandeep Kumar,Shilpa Rani,K. Ramya Laxmi
Publisher : CRC Press
Page : 215 pages
File Size : 49,9 Mb
Release : 2020-12-22
Category : Medical
ISBN : 9781000337075

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Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing by Rohit Raja,Sandeep Kumar,Shilpa Rani,K. Ramya Laxmi Pdf

Digital images have several benefits, such as faster and inexpensive processing cost, easy storage and communication, immediate quality assessment, multiple copying while preserving quality, swift and economical reproduction, and adaptable manipulation. Digital medical images play a vital role in everyday life. Medical imaging is the process of producing visible images of inner structures of the body for scientific and medical study and treatment as well as a view of the function of interior tissues. This process pursues disorder identification and management. Medical imaging in 2D and 3D includes many techniques and operations such as image gaining, storage, presentation, and communication. The 2D and 3D images can be processed in multiple dimensions. Depending on the requirement of a specific problem, one must identify various features of 2D or 3D images while applying suitable algorithms. These image processing techniques began in the 1960s and were used in such fields as space, clinical purposes, the arts, and television image improvement. In the 1970s, with the development of computer systems, the cost of image processing was reduced and processes became faster. In the 2000s, image processing became quicker, inexpensive, and simpler. In the 2020s, image processing has become a more accurate, more efficient, and self-learning technology. This book highlights the framework of the robust and novel methods for medical image processing techniques in 2D and 3D. The chapters explore existing and emerging image challenges and opportunities in the medical field using various medical image processing techniques. The book discusses real-time applications for artificial intelligence and machine learning in medical image processing. The authors also discuss implementation strategies and future research directions for the design and application requirements of these systems. This book will benefit researchers in the medical image processing field as well as those looking to promote the mutual understanding of researchers within different disciplines that incorporate AI and machine learning. FEATURES Highlights the framework of robust and novel methods for medical image processing techniques Discusses implementation strategies and future research directions for the design and application requirements of medical imaging Examines real-time application needs Explores existing and emerging image challenges and opportunities in the medical field

Machine Learning and AI Techniques in Interactive Medical Image Analysis

Panigrahi, Lipismita,Biswal, Sandeep,Bhoi, Akash Kumar,Kalam, Akhtar,Barsocchi, Paolo
Machine Learning and AI Techniques in Interactive Medical Image Analysis Book PDF

Author : Panigrahi, Lipismita,Biswal, Sandeep,Bhoi, Akash Kumar,Kalam, Akhtar,Barsocchi, Paolo
Publisher : IGI Global
Page : 241 pages
File Size : 54,7 Mb
Release : 2022-09-16
Category : Medical
ISBN : 9781668446737

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Machine Learning and AI Techniques in Interactive Medical Image Analysis by Panigrahi, Lipismita,Biswal, Sandeep,Bhoi, Akash Kumar,Kalam, Akhtar,Barsocchi, Paolo Pdf

The healthcare industry is predominantly moving towards affordable, accessible, and quality health care. All organizations are striving to build communication compatibility among the wide range of devices that have operated independently. Recent developments in electronic devices have boosted the research in the medical imaging field. It incorporates several medical imaging techniques and achieves an important goal for health improvement all over the world. Despite the significant advances in high-resolution medical instruments, physicians cannot always obtain the full amount of information directly from the equipment outputs, and a large amount of data cannot be easily exploited without a computer. Machine Learning and AI Techniques in Interactive Medical Image Analysis discusses how clinical efficiency can be improved by investigating the different types of intelligent techniques and systems to get more reliable and accurate diagnostic conclusions. This book further introduces segmentation techniques to locate suspicious areas in medical images and increase the segmentation accuracy. Covering topics such as computer-aided detection, intelligent techniques, and machine learning, this premier reference source is a dynamic resource for IT specialists, computer scientists, diagnosticians, imaging specialists, medical professionals, hospital administrators, medical students, medical technicians, librarians, researchers, and academicians.

Artificial Intelligence in Medical Imaging

Erik R. Ranschaert,Sergey Morozov,Paul R. Algra
Artificial Intelligence in Medical Imaging Book PDF

Author : Erik R. Ranschaert,Sergey Morozov,Paul R. Algra
Publisher : Springer
Page : 373 pages
File Size : 42,7 Mb
Release : 2019-01-29
Category : Medical
ISBN : 9783319948782

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Artificial Intelligence in Medical Imaging by Erik R. Ranschaert,Sergey Morozov,Paul R. Algra Pdf

This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.

AI Innovation in Medical Imaging Diagnostics

Anbarasan, Kalaivani
AI Innovation in Medical Imaging Diagnostics Book PDF

Author : Anbarasan, Kalaivani
Publisher : IGI Global
Page : 248 pages
File Size : 52,6 Mb
Release : 2021-01-01
Category : Medical
ISBN : 9781799830931

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AI Innovation in Medical Imaging Diagnostics by Anbarasan, Kalaivani Pdf

Recent advancements in the technology of medical imaging, such as CT and MRI scanners, are making it possible to create more detailed 3D and 4D images. These powerful images require vast amounts of digital data to help with the diagnosis of the patient. Artificial intelligence (AI) must play a vital role in supporting with the analysis of this medical imaging data, but it will only be viable as long as healthcare professionals and AI interact to embrace deep thinking platforms such as automation in the identification of diseases in patients. AI Innovation in Medical Imaging Diagnostics is an essential reference source that examines AI applications in medical imaging that can transform hospitals to become more efficient in the management of patient treatment plans through the production of faster imaging and the reduction of radiation dosages through the PET and SPECT imaging modalities. The book also explores how data clusters from these images can be translated into small data packages that can be accessed by healthcare departments to give a real-time insight into patient care and required interventions. Featuring research on topics such as assistive healthcare, cancer detection, and machine learning, this book is ideally designed for healthcare administrators, radiologists, data analysts, computer science professionals, medical imaging specialists, diagnosticians, medical professionals, researchers, and students.

Deep Learning Applications in Medical Imaging

Saxena, Sanjay,Paul, Sudip
Deep Learning Applications in Medical Imaging Book PDF

Author : Saxena, Sanjay,Paul, Sudip
Publisher : IGI Global
Page : 274 pages
File Size : 45,6 Mb
Release : 2020-10-16
Category : Medical
ISBN : 9781799850724

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Deep Learning Applications in Medical Imaging by Saxena, Sanjay,Paul, Sudip Pdf

Before the modern age of medicine, the chance of surviving a terminal disease such as cancer was minimal at best. After embracing the age of computer-aided medical analysis technologies, however, detecting and preventing individuals from contracting a variety of life-threatening diseases has led to a greater survival percentage and increased the development of algorithmic technologies in healthcare. Deep Learning Applications in Medical Imaging is a pivotal reference source that provides vital research on the application of generating pictorial depictions of the interior of a body for medical intervention and clinical analysis. While highlighting topics such as artificial neural networks, disease prediction, and healthcare analysis, this publication explores image acquisition and pattern recognition as well as the methods of treatment and care. This book is ideally designed for diagnosticians, medical imaging specialists, healthcare professionals, physicians, medical researchers, academicians, and students.

Deep Learning for Medical Image Analysis

S. Kevin Zhou,Hayit Greenspan,Dinggang Shen
Deep Learning for Medical Image Analysis Book PDF

Author : S. Kevin Zhou,Hayit Greenspan,Dinggang Shen
Publisher : Academic Press
Page : 0 pages
File Size : 44,5 Mb
Release : 2023-10-01
Category : Computers
ISBN : 032385124X

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Deep Learning for Medical Image Analysis by S. Kevin Zhou,Hayit Greenspan,Dinggang Shen Pdf

Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Deep learning provides exciting solutions for medical image analysis problems and is a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component are applied to medical image detection, segmentation, registration, and computer-aided analysis.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2021

Marleen de Bruijne,Philippe C. Cattin,Stéphane Cotin,Nicolas Padoy,Stefanie Speidel,Yefeng Zheng,Caroline Essert
Medical Image Computing and Computer Assisted Intervention MICCAI 2021 Book PDF

Author : Marleen de Bruijne,Philippe C. Cattin,Stéphane Cotin,Nicolas Padoy,Stefanie Speidel,Yefeng Zheng,Caroline Essert
Publisher : Springer Nature
Page : 827 pages
File Size : 46,9 Mb
Release : 2021-09-23
Category : Computers
ISBN : 9783030872342

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 by Marleen de Bruijne,Philippe C. Cattin,Stéphane Cotin,Nicolas Padoy,Stefanie Speidel,Yefeng Zheng,Caroline Essert Pdf

The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.* The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging – others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *The conference was held virtually.

Artificial Intelligence (ai) In Healthcare

Enrico Guardelli
Artificial Intelligence ai In Healthcare Book PDF

Author : Enrico Guardelli
Publisher : Clube de Autores
Page : 164 pages
File Size : 41,7 Mb
Release : 2024-05-22
Category : Medical
ISBN : EAN:3410006801650

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Artificial Intelligence (ai) In Healthcare by Enrico Guardelli Pdf

Artificial Intelligence (AI) has emerged as a powerful ally in the healthcare sector, revolutionizing the way medical professionals diagnose, treat, and manage diseases. By integrating advanced machine learning algorithms and natural language processing, AI has demonstrated its ability to swiftly and accurately analyze vast medical datasets, providing valuable insights that can lead to more precise diagnoses and effective treatments. From interpreting medical imaging to real-time patient monitoring, the applications of AI in healthcare are vast and multifaceted, promising to significantly enhance the quality of medical care and ultimately save lives. In this book Artificial Intelligence in Healthcare: Next Frontier you will gain a comprehensive overview of how medtechs are leading the way in applying artificial intelligence (AI) in the healthcare sector. These companies are at the forefront of innovation, exploring AI s potential to improve healthcare worldwide. By examining these startups, we can learn much about AI s potential in healthcare and how it is shaping the future of the industry. Through ongoing research and development efforts, these companies are helping to pave the way for more effective, accessible, and personalized healthcare for all.

Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging

Stefan Wesarg,Esther Puyol Antón,John S. H. Baxter,Marius Erdt,Klaus Drechsler,Cristina Oyarzun Laura,Moti Freiman,Yufei Chen,Islem Rekik,Roy Eagleson,Aasa Feragen,Andrew P. King,Veronika Cheplygina,Melani Ganz-Benjaminsen,Enzo Ferrante,Ben Glocker,Daniel Moyer,Eikel Petersen
Clinical Image Based Procedures Fairness of AI in Medical Imaging and Ethical and Philosophical Issues in Medical Imaging Book PDF

Author : Stefan Wesarg,Esther Puyol Antón,John S. H. Baxter,Marius Erdt,Klaus Drechsler,Cristina Oyarzun Laura,Moti Freiman,Yufei Chen,Islem Rekik,Roy Eagleson,Aasa Feragen,Andrew P. King,Veronika Cheplygina,Melani Ganz-Benjaminsen,Enzo Ferrante,Ben Glocker,Daniel Moyer,Eikel Petersen
Publisher : Springer Nature
Page : 328 pages
File Size : 45,6 Mb
Release : 2023-10-09
Category : Computers
ISBN : 9783031452499

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Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging by Stefan Wesarg,Esther Puyol Antón,John S. H. Baxter,Marius Erdt,Klaus Drechsler,Cristina Oyarzun Laura,Moti Freiman,Yufei Chen,Islem Rekik,Roy Eagleson,Aasa Feragen,Andrew P. King,Veronika Cheplygina,Melani Ganz-Benjaminsen,Enzo Ferrante,Ben Glocker,Daniel Moyer,Eikel Petersen Pdf

This book constitutes the refereed proceedings of the 12th International Workshop on Clinical Image-Based Procedures, CLIP 2023, the First MICCAI Workshop on Fairness of AI in Medical Imaging, FAIMI 2023, and the Second MICCAI Workshop on the Ethical and Philosophical Issues in Medical Imaging, EPIMI 2023, held in conjunction with MICCAI 2023, in October 2023. CLIP 2023 accepted 5 full papers and 3 short papers form 8 submissions received. It focuses on holistic patient models for personalized healthcare with the goal to bring basic research methods closer to the clinical practice. For FAIMI 2023, 19 full papers have been accepted from 20 submissions. They focus on creating awareness about potential fairness issues that can emerge in the context of machine learning. And for EPIMI 2023, 2 papers have been accepted from 5 submissions. They investigate questions that underlie medical imaging research at the most fundamental level.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2021

Marleen de Bruijne,Philippe C. Cattin,Stéphane Cotin,Nicolas Padoy,Stefanie Speidel,Yefeng Zheng,Caroline Essert
Medical Image Computing and Computer Assisted Intervention MICCAI 2021 Book PDF

Author : Marleen de Bruijne,Philippe C. Cattin,Stéphane Cotin,Nicolas Padoy,Stefanie Speidel,Yefeng Zheng,Caroline Essert
Publisher : Springer Nature
Page : 735 pages
File Size : 49,5 Mb
Release : 2021-09-23
Category : Computers
ISBN : 9783030872373

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 by Marleen de Bruijne,Philippe C. Cattin,Stéphane Cotin,Nicolas Padoy,Stefanie Speidel,Yefeng Zheng,Caroline Essert Pdf

The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.* The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging – others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *The conference was held virtually.

Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry

Khang, Alex
Medical Robotics and AI Assisted Diagnostics for a High Tech Healthcare Industry Book PDF

Author : Khang, Alex
Publisher : IGI Global
Page : 479 pages
File Size : 53,8 Mb
Release : 2024-03-04
Category : Medical
ISBN : 9798369321065

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Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry by Khang, Alex Pdf

While ultra-high field strength diagnosis technologies and artificial intelligence have propelled medicine imaging towards microstructure analysis and precise medicine, persistent challenges remain. These range from long scanning times to motion sensitivity and issues with imaging quality for certain types of tissue. Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry summarizes emerging techniques, outlines clinical applications, and confronts the challenges head-on, proposing avenues for further research. It explores emerging techniques such as human-like robotics, medical Internet of Things (IoT), low-cost CT scanners, portable MRI devices, and breakthroughs in diagnosis technologies like zero echo time (ZTM) and compressed sensing volume interpolation breath-holding test sequences (CS-VIBE). This book provides an overview of the current state of medical imaging and clinical diagnosis applications, then expands into a roadmap for the future, envisioning the seamless integration of medical robotics and AI-assisted applications in the high-tech healthcare industry. As the influence of artificial intelligence continues to grow, the book serves as a clarion call for collaborative efforts, increased research, and unified strategies to navigate the challenges and harness the opportunities presented by the high-tech medical industry. This book is ideal for medical analysts, healthcare scientists, biotechnology analysts, scholars, researchers, academics, professionals, engineers, and students worldwide.