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Artificial Intelligence in Medicine

  • Living reference work
  • © 2020

Overview

  • Covers challenges and problems faced through the use of artificial intelligence in medicine
  • Reviews the literature to give readers a scientific foundation
  • Contains original images and illustrations to clarify procedures

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Table of contents (130 entries)

Keywords

About this book

This book provides a structured and analytical guide to the use of artificial intelligence in medicine. Covering all areas within medicine, the chapters give a systemic review of the history, scientific foundations, present advances, potential trends, and future challenges of artificial intelligence within a healthcare setting.

Artificial Intelligence in Medicine gives its readers the required knowledge to apply artificial intelligence to clinical practice. The book is relevant to medical students, specialist doctors, and researchers whose work will be affected by artificial intelligence.

Editors and Affiliations

  • Karolinska Institute, Stockholm, Sweden

    Niklas Lidströmer

  • Faculty of Medicine, Imperial College London, London, United Kingdom

    Hutan Ashrafian

About the editors

Dr Niklas Lidströmer – Karolinska Institute, MD, MSc, Specialist Physician, Postgraduate researcher in AI in Medicine, Senior Advisor in AI and medical investments, former AI entrepreneur and founder of an AI powered medical platform, former Head of Medical AI at a variety of med-tech companies, and also previous co-leader of a handful of successful medical startups.
His experience also encompasses wide-spread global clinical work spanning twenty years within numerous regions across eight countries. After graduating with a master thesis in global medicine in 2000, he began practicing as a medical doctor in 2002, followed by internship, specialized residencies and clinical work all over the world, including one year circumnavigating as a maritime doctor.
His international work experience, fluency in nearly ten languages, practical familiarization with AI in the medical and pharmaceutical industries and clinical specialist competence in general medicine, has produced apassion for translational and educational aspects of artificial intelligence in medicine.
Dr Niklas Lidströmer is eager to bestow upon the world this pivotal reference work - the new standard reference, for artificial intelligence in medicine, which has now become the largest and most comprehensive in the scientific community.

Hutan Ashrafian MBBS, MRCS, PhD, MBA is a clinician-scientist and active surgeon translating novel technologies and therapeutics in healthcare and policy. He has led R&D as Chief Scientific Adviser at the Institute of Global Health Innovation at Imperial College London and Chief Medical Officerata FTSE 100 multinational and is currently Chief Scientific Officer at the global biotech and venture firm Flagship Pioneering in Preemptive Medicine and Health Security and his own start-ups.He has over 20 years of translational clinical, computational physiology, digital and AI trial and product development experience including novel COVID vaccines and national tracing apps. He leads the STARD-AI and QUADAS-AI global guideline initiatives for AI diagnostic accuracy. As honorary lecturer at Imperial College London, he runs the collaboration with Imperial College London, NHS Hospitals and Google on an AI algorithm for Breast Screeningand alsowith NICE on health technological assessment classifications for AI. He was awarded the Royal College of Surgeons Arris and Gale Lectureship and the Hunterian Prize. He has authored >450 publications (including Lancet, Nature, NEJM) and 10 personally authored books ranging from medicine, philosophy and ancient history, also having discovered an ancient lion species and deciphering hidden realities in renaissance art including those of Leonardo da Vinci. He has several eponymous medical signs named after him and described his own procedure - the Ashrafian Thoracotomy. His philosophical work in artificial general intelligence, human rights and solving the simulation argument is taught at law schools and he is regularly featured in historical and scientific documentaries. He has co-edited the major reference text of Artificial Intelligence in Medicine by Springer Nature.



Bibliographic Information

  • Book Title: Artificial Intelligence in Medicine

  • Editors: Niklas Lidströmer, Hutan Ashrafian

  • DOI: https://doi.org/10.1007/978-3-030-58080-3

  • Publisher: Springer Cham

  • eBook Packages: Springer Reference Medicine, Reference Module Medicine

  • eBook ISBN: 978-3-030-58080-3Due: 26 January 2022

  • Number of Pages: X, 1561

  • Number of Illustrations: 10 b/w illustrations, 10 illustrations in colour

  • Topics: Internal Medicine, Health Informatics, Imaging / Radiology, Surgery

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