AIMC Topic: Medicine
Clear Filters Showing 131 to 140 of 241 articles
eDoctor: machine learning and the future of medicine.
Journal of internal medicine
Sep 3, 2018
Machine learning (ML) is a burgeoning field of medicine with huge resources being applied to fuse computer science and statistics to medical problems. Proponents of ML extol its ability to deal with large, complex and disparate data, often found with...
Artificial intelligence will soon change the landscape of medical physics research and practice.
Medical physics
Mar 13, 2018
Editorial from the new Editor-in-Chief: Artificial Intelligence in Medicine and the forthcoming challenges.
Artificial intelligence in medicine
Feb 6, 2017
Machine Learning Will Change Medicine.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Feb 2, 2017
An evidence synthesis of the international knowledge base for new care models to inform and mobilise knowledge for multispecialty community providers (MCPs).
Systematic reviews
Oct 1, 2016
BACKGROUND: NHS England's Five Year Forward View (NHS England, Five Year Forward View, 2014) formally introduced a strategy for new models of care driven by simultaneous pressures to contain costs, improve care and deliver services closer to home thr...
Artificial Intelligence in Medicine AIME 2013.
Artificial intelligence in medicine
Jul 30, 2015
Thirty years of artificial intelligence in medicine (AIME) conferences: A review of research themes.
Artificial intelligence in medicine
Jul 29, 2015
BACKGROUND: Over the past 30 years, the international conference on Artificial Intelligence in MEdicine (AIME) has been organized at different venues across Europe every 2 years, establishing a forum for scientific exchange and creating an active res...
Assessment of Machine Learning Algorithms to Predict Medical Specialty Choice.
Studies in health technology and informatics
May 15, 2025
Equitable distribution of physicians across specialties is a significant public health challenge. While previous studies primarily relied on classic statistics models to estimate factors affecting medical students' career choices, this study explores...
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