Cantitate/Preț
Produs
Total produse
Vezi coșul
Healthcare and Artificial Intelligence de Bernard Nordlinger

Healthcare and Artificial Intelligence

Editat de Bernard Nordlinger, Cédric Villani, Daniela Rus
en Limba Engleză Paperback – 21 aug 2021
This book provides an overview of the role of AI in medicine and, more generally, of issues at the intersection of mathematics, informatics, and medicine. It is intended for AI experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious about this timely and important subject. Its goal is to provide clear, objective, and reasonable information on the issues covered, avoiding any fantasies that the topic “AI” might evoke. In addition, the book seeks to provide a broad kaleidoscopic perspective, rather than deep technical details.
 

Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 17871 lei  3-5 săpt.
  Springer International Publishing – 21 aug 2021 17871 lei  3-5 săpt.
Hardback (1) 21628 lei  39-44 zile
  Springer International Publishing – 18 mar 2020 21628 lei  39-44 zile

Preț: 17871 lei

Preț vechi: 22339 lei
-20% Nou

Puncte Express: 268
Preț estimativ în valută:
3421€ • 3556$ • 2837£

Carte disponibilă

Livrare economică 16-30 ianuarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783030321635
ISBN-10: 3030321630
Pagini: 279
Ilustrații: XVIII, 279 p. 48 illus., 26 illus. in color.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.46 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Cuprins

Introduction.- Artificial Intelligence and Tomorrow's Health.- Databases.- Matching an Epidemiological Cohort to Medico-Administrative Databases.- Medical and Administrative Data from Health Insurance.- How the SNIIRAM–PMSI Database Enables the Study of Surgical Practices.- Hospital Databases.- The Experience of the Institut Curie.

Notă biografică

Bernard Nordlinger is a Professor of Surgical Oncology—Université de Versailles, APHP, and co-organizer of the IA and Health Working Group of the Académie nationale de Médecine and Académie des sciences.
Cédric Villani is a mathematician, Fields Medal winner, Professor at the Claude Bernard Lyon 1 University, member of the Academy of Sciences, member of French Parliament, and first vice-president of the Office parlementaire d'évaluation des choix scientifiques et technologiques (OPECST).
Daniela Rus is Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) and Andrew and Erna Viterbi Professor at the Department of Electrical Engineering and Computer Science (EECS), Massachusetts Institute of Technology.
 

Textul de pe ultima copertă

This book provides an overview of the role of AI in medicine and, more generally, of issues at the intersection of mathematics, informatics, and medicine. It is intended for AI experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious about this timely and important subject. Its goal is to provide clear, objective, and reasonable information on the issues covered, avoiding any fantasies that the topic “AI” might evoke. In addition, the book seeks to provide a broad kaleidoscopic perspective, rather than deep technical details.
 

Caracteristici

Presents a vision of the future of medicine enabled by AI Demonstrates the revolution in health care practices now becoming possible thanks to AI Edited by well-known experts including the fields medalist Cedric Villani, who is the current first vice-president of the Scientific Parliamentary Office Explores a number of challenges: technical and technological challenge due to the size of the data involved; ethical and legal challenges like protecting personal data; and challenge of confidence, to convince the actors to overcome their reluctance and share data Includes contributions by leading mathematicians, computer scientists, statisticians, oncologists, surgeons, onco-geneticists, sociologists, hospital administrators, and lawyers to provide the reader with clear, objective, and reasonable information, while avoiding fantasies Highlights various areas of innovation, such as renewing and improving the interpretation of images, modeling tumor growth, predicting response to administered treatments, increasing performance in radiology, pathology and dermatology, taking advantage of genetic data to understand diseases, developing precision medicine, and structuring large databases with vast amounts of data