Editors:
- 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)
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Front Matter
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Part II
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Front Matter
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About this book
Artificial Intelligence in Medicine aims to give 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
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Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden
Niklas Lidströmer
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Imperial College London, London, UK
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 widespread global clinical work spanning 20 years within numerous regions across eight countries. After graduating with a master’s thesis on 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 1 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 have produced a passion 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 as chief medical officer at a 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 screening and also with 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 more than 450 publications (including Lancet, Nature, NEJM) and 10 personally authored books ranging from medicine to 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 book Artificial Intelligence in Medicine by Springer Nature.
Bibliographic Information
Book Title: Artificial Intelligence in Medicine
Editors: Niklas Lidströmer, Hutan Ashrafian
DOI: https://doi.org/10.1007/978-3-030-64573-1
Publisher: Springer Cham
eBook Packages: Medicine, Reference Module Medicine
Copyright Information: Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-64572-4Published: 19 February 2022
eBook ISBN: 978-3-030-64573-1Published: 18 February 2022
Edition Number: 1
Number of Pages: LVI, 1858
Number of Illustrations: 64 b/w illustrations, 324 illustrations in colour
Topics: Internal Medicine, Health Informatics, Imaging / Radiology, Surgery