The current and future state of AI interpretation of medical images

P Rajpurkar, MP Lungren - New England Journal of Medicine, 2023 - Mass Medical Soc
The Current and Future State of AI Interpretation of Medical Images | New England Journal of
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …

[HTML][HTML] Addressing bias in big data and AI for health care: A call for open science

N Norori, Q Hu, FM Aellen, FD Faraci, A Tzovara - Patterns, 2021 - cell.com
Artificial intelligence (AI) has an astonishing potential in assisting clinical decision making
and revolutionizing the field of health care. A major open challenge that AI will need to …

Federated benchmarking of medical artificial intelligence with MedPerf

A Karargyris, R Umeton, MJ Sheller… - Nature machine …, 2023 - nature.com
Medical artificial intelligence (AI) has tremendous potential to advance healthcare by
supporting and contributing to the evidence-based practice of medicine, personalizing …

[HTML][HTML] Artificial intelligence in healthcare: transforming the practice of medicine

J Bajwa, U Munir, A Nori, B Williams - Future healthcare journal, 2021 - Elsevier
Artificial intelligence (AI) is a powerful and disruptive area of computer science, with the
potential to fundamentally transform the practice of medicine and the delivery of healthcare …

[HTML][HTML] Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond

G Yang, Q Ye, J ** review
J Morley, CCV Machado, C Burr, J Cowls, I Joshi… - Social Science & …, 2020 - Elsevier
This article presents a map** review of the literature concerning the ethics of artificial
intelligence (AI) in health care. The goal of this review is to summarise current debates and …

[HTML][HTML] Artificial intelligence in medicine: today and tomorrow

G Briganti, O Le Moine - Frontiers in medicine, 2020 - frontiersin.org
Artificial intelligence-powered medical technologies are rapidly evolving into applicable
solutions for clinical practice. Deep learning algorithms can deal with increasing amounts of …