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International evaluation of an AI system for breast cancer screening

An artificial intelligence (AI) system performs as well as or better than radiologists at detecting breast cancer from mammograms, and using a combination of AI and human inputs could help to improve screening efficiency.

Scott Mayer McKinney
Marcin Sieniek
Shravya Shetty
Research01 Jan 2020
Nature

Volume: 577, P: 89-94
Addendum: International evaluation of an AI system for breast cancer screening

Scott Mayer McKinney
Marcin Sieniek
Shravya Shetty
Amendments and Corrections14 Oct 2020
Nature

Volume: 586, P: E19
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians

A collaboration system helps to integrate decisions between human experts and AI to optimize screening and triaging and to reduce clinicians’ workload.

Krishnamurthy (Dj) Dvijotham
Jim Winkens
Alan Karthikesalingam
Research17 Jul 2023
Nature Medicine

Volume: 29, P: 1814-1820
A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment

Gomes et al. develop machine learning models for gestational age and fetal malpresentation assessment on fetal ultrasound. The authors optimize their system for use in low-resource settings, using novice ultrasound operators, simplified imaging protocols, and low cost ultrasound devices.

Ryan G. Gomes
Bellington Vwalika
Shravya Shetty
ResearchOpen Access11 Oct 2022
Communications Medicine

Volume: 2, P: 1-9

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International evaluation of an AI system for breast cancer screening

Addendum: International evaluation of an AI system for breast cancer screening

Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians

A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment

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