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 …
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …
AI pitfalls and what not to do: mitigating bias in AI
Various forms of artificial intelligence (AI) applications are being deployed and used in many
healthcare systems. As the use of these applications increases, we are learning the failures …
healthcare systems. As the use of these applications increases, we are learning the failures …
[HTML][HTML] AI recognition of patient race in medical imaging: a modelling study
Background Previous studies in medical imaging have shown disparate abilities of artificial
intelligence (AI) to detect a person's race, yet there is no known correlation for race on …
intelligence (AI) to detect a person's race, yet there is no known correlation for race on …
Mitigating bias in radiology machine learning: 1. Data handling
Minimizing bias is critical to adoption and implementation of machine learning (ML) in
clinical practice. Systematic mathematical biases produce consistent and reproducible …
clinical practice. Systematic mathematical biases produce consistent and reproducible …
How does artificial intelligence in radiology improve efficiency and health outcomes?
Since the introduction of artificial intelligence (AI) in radiology, the promise has been that it
will improve health care and reduce costs. Has AI been able to fulfill that promise? We …
will improve health care and reduce costs. Has AI been able to fulfill that promise? We …
Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays
Artificial intelligence (AI)-generated clinical advice is becoming more prevalent in
healthcare. However, the impact of AI-generated advice on physicians' decision-making is …
healthcare. However, the impact of AI-generated advice on physicians' decision-making is …
Reading race: AI recognises patient's racial identity in medical images
Background: In medical imaging, prior studies have demonstrated disparate AI performance
by race, yet there is no known correlation for race on medical imaging that would be obvious …
by race, yet there is no known correlation for race on medical imaging that would be obvious …
Clinical applications of artificial intelligence in radiology
C Mello-Thoms, CAB Mello - The British Journal of Radiology, 2023 - academic.oup.com
The rapid growth of medical imaging has placed increasing demands on radiologists. In this
scenario, artificial intelligence (AI) has become an attractive partner, one that may …
scenario, artificial intelligence (AI) has become an attractive partner, one that may …
Comparison of commercial AI software performance for radiograph lung nodule detection and bone age prediction
Background Multiple commercial artificial intelligence (AI) products exist for assessing
radiographs; however, comparable performance data for these algorithms are limited …
radiographs; however, comparable performance data for these algorithms are limited …
[HTML][HTML] Are current clinical studies on artificial intelligence-based medical devices comprehensive enough to support a full health technology assessment? A …
L Farah, J Davaze-Schneider, T Martin… - Artificial intelligence in …, 2023 - Elsevier
Abstract Introduction Artificial Intelligence-based Medical Devices (AI-based MDs) are
experiencing exponential growth in healthcare. This study aimed to investigate whether …
experiencing exponential growth in healthcare. This study aimed to investigate whether …