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Interdisciplinary Perspectives on the Issues of Proof in Health Science
This book offers an interdisciplinary reflection on the scientific and ethical issues of the notion of proof in medicine. The book poses the following questions: why does an argument convince? How does one make a rational decision in the face of contradictory data? Why and how can we prioritize levels of evidence? What is the value of physicians' professional experience in the production of evidence? By asking these questions, this book highlights the debates surrounding the notions of robustness, relevance and statistical significance regarding different conceptions of the reliability of biomedical knowledge. It is intended for both biomedical scientists (clinicians, epidemiologists, biostatisticians, etc.) and researchers in the social sciences and humanities who are interested in the social organization of clinical trials and in decision-making in a context of uncertainty. It also provides a better understanding of social issues in specific contexts, such as gynecological care, prevention policies, significance tests, and the management of the COVID-19 pandemic.
Machine Learning for Brain Disorders
This Open Access volume provides readers with an up-to-date and comprehensive guide to both methodological and applicative aspects of machine learning (ML) for brain disorders. The chapters in this book are organized into five parts. Part One presents the fundamentals of ML. Part Two looks at the main types of data used to characterize brain disorders, including clinical assessments, neuroimaging, electro- and magnetoencephalography, genetics and omics data, electronic health records, mobile devices, connected objects and sensors. Part Three covers the core methodologies of ML in brain disorders and the latest techniques used to study them. Part Four is dedicated to validation and datasets, ...
Case Studies in Dementia: Volume 1
Dementia is amongst the greatest challenges facing the medical profession as the population ages. Accurate diagnosis is essential as many rarer forms of the disease are treatable if recognized early. This collection of case studies from around the world illustrates both common and unusual causes of dementia, emphasizing clinical reasoning, integrative thinking and problem-solving skills. Each case consists of a clinical history, examination findings and special investigations, followed by diagnosis and discussion. The aim is to reinforce diagnostic skills through careful analysis of individual presenting patterns, and to guide treatment decisions, using state-of-the-art diagnostic classification and tools. The reader will be able to distinguish patients who need reassurance, closer follow-up or immediate referral to specialized services. Written and edited by internationally recognized experts in dementia, these case studies will inform and challenge clinicians at all stages of their careers.
Ultrasound for Precision Medicine: Diagnosis, Drug Delivery and Image-Guided Therapy
Precision medicine is an approach that proposes customized medical care based on the individual characteristics of each patient. The rapidly emerging field not only holds great promise for diagnosis of disease and prediction of risk of developing diseases, but also offers the possibility of remarkably fine-tuned remedies to improve patient health while minimizing the risk of harmful side effects. Many technologies including genetics, informatics, and medical imaging, are rapidly expanding the scope of precision medicine. Among these technologies, imaging is poised to play a major role in the age of precision medicine. By characterizing anatomy, physiology and metabolism of the patient, medic...
Neurologie
Cet ouvrage de cours synthétique traite l'ensemble des items de Neurologie du programme de DCEM2-DCEM4. Cette deuxième édition reste fidèle à l'esprit de la première édition qui lui a valu son succès : chaque chapitre, consacré à un item, est rédigé suivant un plan identique, original, clair et très didactique qui facilite l'apprentissage. Cette deuxième édition comporte une mise à jour avec l'intégration des conférences de consensus les plus récentes. Chaque item comprend les éléments systématiques suivants, mis à jour et enrichis : - les conférences de consensus, d'experts et les recommandations existantes ; - des schémas, des algorithmes et de l'iconographie ; - d...
Handbook of Medical Image Computing and Computer Assisted Intervention
Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches and solutions, while also offering proven algorithms for a variety of essential medical imaging applications. This book is written primarily for university researchers, graduate students and professional practitioners (assuming an elementary level of linear algebra, probability and statistics, and signal processing) working on medical image computing and computer assisted intervention. - Presents the key research challenges in medical image computing and computer-assisted intervention - Written by leading authorities of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society - Contains state-of-the-art technical approaches to key challenges - Demonstrates proven algorithms for a whole range of essential medical imaging applications - Includes source codes for use in a plug-and-play manner - Embraces future directions in the fields of medical image computing and computer-assisted intervention
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.
Manuel de psychiatrie
Cette 4e édition du Manuel de psychiatrie présente aux étudiants en médecine, aux psychiatres en formation ainsi qu'aux spécialistes des sciences humaines et sociales l'ensemble de la discipline, de façon exhaustive et non dogmatique. Cet ouvrage de référence s'enrichit de nombreuses mises à jour concernant des aspects de la psychiatrie qui ont fait l'objet d'avancées récentes, notamment : • l'épidémiologie des troubles mentaux ; • l'imagerie, la génétique et la neurobiologie ; • les aspects cliniques des troubles mentaux de l'adulte, l'adolescent et la personne âgée ; • les répercussions du changement de perspective entre la psychiatrie clinique traditionnelle et l...
Vieillissement et démences
Dans le cadre des relations scientifiques et médicales entre la France et le Québec, l’Académie nationale de médecine et la Délégation générale du Québec à Paris ont accueilli, le 21 octobre 2013, à l’Académie, les chercheurs des deux pays engagés dans l’étude du vieillissement normal et pathologique, des démences et des maladies neurodégénératives. Cette réunion s’inscrit dans les missions de l’Académie : participer au développement des connaissances médicales, notamment dans des maladies importantes pour la santé publique, et poursuivre les collaborations scientifiques et médicales. Elle a réuni des experts reconnus des deux pays qui ont effectué un larg...
