Clinical Image Based Procedures Fairness Of Ai In Medical Imaging And Ethical And Philosophical Issues In Medical Imaging
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Clinical Image Based Procedures Fairness Of Ai In Medical Imaging And Ethical And Philosophical Issues In Medical Imaging
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Author : Stefan Wesarg
language : en
Publisher: Springer Nature
Release Date : 2023-10-09
Clinical Image Based Procedures Fairness Of Ai In Medical Imaging And Ethical And Philosophical Issues In Medical Imaging written by Stefan Wesarg and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-09 with Computers categories.
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.
Ethics And Fairness In Medical Imaging
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Author : Esther Puyol-Antón
language : en
Publisher: Springer Nature
Release Date : 2024-10-12
Ethics And Fairness In Medical Imaging written by Esther Puyol-Antón and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-12 with Computers categories.
This book constitutes the refereed proceedings of the Second International Workshop, FAIMI 2024, and the Third International Workshop, EPIMI 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, in October 2024. The 17 full papers presented in this book were carefully reviewed and selected from 21 submissions. FAIMI aimed to raise awareness about potential fairness issues in machine learning within the context of biomedical image analysis. The instance of EPIMI concentrates on topics surrounding open science, taking a critical lens on the subject.
Trustworthy Ai In Cancer Imaging Research
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Author : Ioanna Chouvarda
language : en
Publisher: Springer Nature
Release Date : 2025-07-09
Trustworthy Ai In Cancer Imaging Research written by Ioanna Chouvarda and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Technology & Engineering categories.
The book covers multiple aspects and challenges, from legal to technical and validation, in the emerging topic of AI in cancer imaging, bringing together the experience of top researchers and flagship projects. The aim of this book is to address the important questions: “How to design AI that is trustworthy”, and “How to validate AI trustworthiness” in the scope of AI for cancer imaging research. The book discusses overall considerations and the generation of a framework; preparing for trustworthy AI, including the data and metadata for quality, transparency and traceability; implementing trustworthy AI with algorithms and Decision Support Systems; and validating trustworthy AI. This is an ideal resource for researchers from technical and clinical research sites, postgraduate students, and healthcare professionals in cancer imaging and beyond.
The Oxford Handbook Of Transcranial Stimulation
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Author :
language : en
Publisher: Oxford University Press
Release Date : 2024-07-30
The Oxford Handbook Of Transcranial Stimulation written by and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-30 with Psychology categories.
Transcranial stimulation encompasses noninvasive methods that transmit physical fields-such as magnetic, electric, ultrasound, and light-to the brain to modulate its function. The most widespread approach, transcranial magnetic stimulation (TMS), has emerged as an important tool in several areas of neuroscience as well as in clinical applications in psychiatry and neurology. Originally envisioned as a way to measure the responsiveness and conduction speed of neurons and synapses in the brain and spinal cord, TMS has also become an important tool for changing the activity of brain neurons and the functions they subserve as well as an causal adjunct to brain imaging and mapping techniques. Along with transcranial electrical stimulation techniques, TMS has diffused far beyond the borders of clinical neurophysiology and into cognitive, perceptual, behavioural, and therapeutic investigation and attracted a highly diverse group of users and would-be users. Another major success of TMS has been as a treatment in psychiatry, where it is now in routine use worldwide. The field of noninvasive neuromodulation has matured and diversified considerably in the past decade, with an expansion in the number of tools available and our understanding of their mechanisms of action. This second edition of The Oxford Handbook of Transcranial Stimulation brings together the latest developments and important advances in all areas of Transcranial stimulation. The new volume captures the rapid progress made since the first edition, and provides an authoritative and comprehensive review of the state of the art. It also highlights challenges, opportunities, and future directions for this rapidly changing field. The book focuses on the scientific and technical background required to understand transcranial stimulation techniques and a wide-ranging survey of their burgeoning applications in neurophysiology, neuroscience, and therapy. Each of its six sections deals with a major area and is edited by an international authority therein. It will serve researchers, clinicians, students, and others as the definitive text in this area for years to come.
Ethical And Philosophical Issues In Medical Imaging Multimodal Learning And Fusion Across Scales For Clinical Decision Support And Topological Data Analysis For Biomedical Imaging
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Author : John S. H. Baxter
language : en
Publisher: Springer Nature
Release Date : 2022-12-20
Ethical And Philosophical Issues In Medical Imaging Multimodal Learning And Fusion Across Scales For Clinical Decision Support And Topological Data Analysis For Biomedical Imaging written by John S. H. Baxter and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-20 with Computers categories.
This book constitutes the refereed joint proceedings of the 1st International Workshop on Ethical & Philosophical Issues in Medical Imaging (EPIMI 2022); the 12th International Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support (ML-CDS 2022) and the 2nd International Workshop on Topological Data Analysis for Biomedical Imaging (TDA4BiomedicalImaging 2022), held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, in September 2022. EPIMI includes five short papers about various humanistic aspects of medical image computing and computer-assisted interventions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The TDA papers focus on Topological Data Analysis: a collection of techniques and tools that have matured from an increasing interest in the role topology plays in machine learning and data science.
Philosophy Of Advanced Medical Imaging
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Author : Elisabetta Lalumera
language : en
Publisher: Springer Nature
Release Date : 2021-03-01
Philosophy Of Advanced Medical Imaging written by Elisabetta Lalumera and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-01 with Medical categories.
This is the first book to explore the epistemology and ethics of advanced imaging tests, in order to improve the critical understanding of the nature of knowledge they provide and the practical consequences of their utilization in healthcare. Advanced medical imaging tests, such as PET and MRI, have gained center stage in medical research and in patients’ care. They also increasingly raise questions that pertain to philosophy: What is required to be an expert in reading images? How are standards for interpretation to be fixed? Is there a problem of overutilization of such tests? How should uncertainty be communicated to patients? How to cope with incidental findings? This book is of interest and importance to scholars of philosophy of medicine at all levels, from undergraduates to researchers, to medical researchers and practitioners (radiologists and nuclear physicians) interested in a critical appraisal of the methodology of their discipline and in the ethical principles andconsequences of their work.
Clinical Image Based Procedures Distributed And Collaborative Learning Artificial Intelligence For Combating Covid 19 And Secure And Privacy Preserving Machine Learning
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Author : Cristina Oyarzun Laura
language : en
Publisher:
Release Date : 2021
Clinical Image Based Procedures Distributed And Collaborative Learning Artificial Intelligence For Combating Covid 19 And Secure And Privacy Preserving Machine Learning written by Cristina Oyarzun Laura and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
This book constitutes the refereed proceedings of the 10th International Workshop on Clinical Image-Based Procedures, CLIP 2021, Second MICCAI Workshop on Distributed and Collaborative Learning, DCL 2021, First MICCAI Workshop, LL-COVID19, First Secure and Privacy-Preserving Machine Learning for Medical Imaging Workshop and Tutorial, PPML 2021, held in conjunction with MICCAI 2021, in October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic. CLIP 2021 accepted 9 papers from the 13 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 DCL 2021, 4 papers from 7 submissions were accepted for publication. They deal with machine learning applied to problems where data cannot be stored in centralized databases and information privacy is a priority. LL-COVID19 2021 accepted 2 papers out of 3 submissions dealing with the use of AI models in clinical practice. And for PPML 2021, 2 papers were accepted from a total of 6 submissions, exploring the use of privacy techniques in the medical imaging community.
Uncertainty For Safe Utilization Of Machine Learning In Medical Imaging And Clinical Image Based Procedures
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Author : Hayit Greenspan
language : en
Publisher: Springer Nature
Release Date : 2019-10-10
Uncertainty For Safe Utilization Of Machine Learning In Medical Imaging And Clinical Image Based Procedures written by Hayit Greenspan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-10 with Computers categories.
This book constitutes the refereed proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. For UNSURE 2019, 8 papers from 15 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. CLIP 2019 accepted 11 papers from the 15 submissions received. The workshops provides a forum for work centred on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.
Artificial Intelligence In Image Based Screening Diagnostics And Clinical Care
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Author : Sameer Antani
language : en
Publisher:
Release Date : 2025-05-21
Artificial Intelligence In Image Based Screening Diagnostics And Clinical Care written by Sameer Antani and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-21 with Medical categories.
Artificial intelligence (AI) in medical imaging is revolutionizing healthcare by enhancing screening, diagnostics, and clinical care. This integration is crucial as the global healthcare industry strives to enhance accuracy, efficiency, and accessibility. AI and machine learning (ML) extend far beyond simple automation, ushering in an era of precision medicine with diagnostics and treatments tailored to individual patients. Advances in deep learning (DL) further enable rapid analysis of complex imaging data, supporting clinical decisions, reducing diagnostic variability, and facilitating early detection-ultimately leading to improved outcomes. Despite its promise, integrating AI into clinical settings faces challenges. Effective AI models require high-quality, annotated training datasets; yet, the scarcity of such data and the imbalance between cases and controls hinder model development. Moreover, real-world medical datasets often include noisy and incomplete data, which can compromise algorithm reliability and introduce biases. The Special Issue "Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care" highlights groundbreaking advancements in AI/ML for medical imaging. It addresses challenges posed by limited and imperfect data while presenting innovative methodologies for image-based screening, diagnostics, and management. By showcasing original research and reviews, this issue provides valuable insights into state-of-the-art AI applications poised to effectively address global health challenges.
Explainable Artificial Intelligence In Medical Imaging
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Author : Amjad Rehman Khan
language : en
Publisher: CRC Press
Release Date : 2025-02-27
Explainable Artificial Intelligence In Medical Imaging written by Amjad Rehman Khan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Medical categories.
Artificial intelligence (AI) in medicine is rising, and it holds tremendous potential for more accurate findings and novel solutions to complicated medical issues. Biomedical AI has potential, especially in the context of precision medicine, in the healthcare industry’s next phase of development and advancement. Integration of AI research into precision medicine is the future; however, the human component must always be considered. Explainable Artificial Intelligence in Medical Imaging: Fundamentals and Applications focuses on the most recent developments in applying artificial intelligence and data science to health care and medical imaging. Explainable artificial intelligence is a well-structured, adaptable technology that generates impartial, optimistic results. New healthcare applications for explicable artificial intelligence include clinical trial matching, continuous healthcare monitoring, probabilistic evolutions, and evidence-based mechanisms. This book overviews the principles, methods, issues, challenges, opportunities, and the most recent research findings. It makes the emerging topics of digital health and explainable AI in health care and medical imaging accessible to a wide audience by presenting various practical applications. Presenting a thorough review of state-of-the-art techniques for precise analysis and diagnosis, the book emphasizes explainable artificial intelligence and its applications in healthcare. The book also discusses computational vision processing methods that manage complicated data, including physiological data, electronic medical records, and medical imaging data, enabling early prediction. Researchers, academics, business professionals, health practitioners, and students all can benefit from this book’s insights and coverage.