MRC London Institute of Medical Sciences

The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care

Matthieu Komorowski, Leo Anthony Celi, Omar Badawi et al.

2018 · 1.181 Zit.

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.

2022 · 457 Zit.

Guidelines for reinforcement learning in healthcare

Omer Gottesman, Fredrik Johansson, Matthieu Komorowski et al.

2018 · 356 Zit.

Wearable full-body motion tracking of activities of daily living predicts disease trajectory in Duchenne muscular dystrophy

Valeria Ricotti, Balasundaram Kadirvelu, Victoria Selby et al.

2023 · 90 Zit.

Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study

Arunashis Sau, Libor Pastika, Ewa Sieliwończyk et al.

2024 · 59 Zit.

Artificial intelligence and the cardiologist: what you need to know for 2020

Antonio de Marvao, Timothy J. W. Dawes, James P. Howard et al.

2020 · 49 Zit.

Artificial Intelligence for Cardiac Imaging-Genetics Research

Antonio de Marvao, Timothy J. W. Dawes, Declan P. O’Regan

2020 · 27 Zit.

Artificial Intelligence–Enhanced Electrocardiography for Prediction of Incident Hypertension

Arunashis Sau, Joseph Barker, Libor Pastika et al.

2025 · 20 Zit.

Quality of reporting in AI cardiac MRI segmentation studies – A systematic review and recommendations for future studies

Samer Alabed, Ahmed Maiter, Mahan Salehi et al.

2022 · 20 Zit.

Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Baptiste Vasey, Myura Nagendran, B. A. Campbell et al.

2022 · 8 Zit.

Outcome Prediction

Buntheng Ly, Mihaela Pop, Hubert Cochet et al.

2023 · 0 Zit.