The Alan Turing Institute

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

Gary S. Collins, Karel G.M. Moons, Paula Dhiman et al.

2024 · 1.877 Zit.

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

Xiaoxuan Liu, Samantha Cruz Rivera, David Moher et al.

2020 · 994 Zit.

Artificial Intelligence and the ‘Good Society’: the US, EU, and UK approach

Corinne Cath, Sandra Wachter, Brent Mittelstadt et al.

2017 · 672 Zit.

AI in Medical Imaging Informatics: Current Challenges and Future Directions

Andreas S. Panayides, Amir A. Amini, Nenad Filipović et al.

2020 · 655 Zit.

Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants

Ahmed M. Alaa, Thomas Bolton, Emanuele Di Angelantonio et al.

2019 · 599 Zit.

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

Samantha Cruz Rivera, Xiaoxuan Liu, An‐Wen Chan et al.

2020 · 583 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 · 471 Zit.

Clinical applications of machine learning algorithms: beyond the black box

David Watson, Jenny Krutzinna, Ian N Bruce et al.

2019 · 436 Zit.

How to Design AI for Social Good: Seven Essential Factors

Luciano Floridi, Josh Cowls, Thomas C. King et al.

2020 · 373 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 · 353 Zit.

Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency

Christine M. Cutillo, Karlie R. Sharma, Luca Foschini et al.

2020 · 319 Zit.

Science in the age of large language models

Abeba Birhane, Atoosa Kasirzadeh, David Leslie et al.

2023 · 312 Zit.

Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol

Viknesh Sounderajah, Hutan Ashrafian, Robert Golub et al.

2021 · 302 Zit.

Responsible AI—Two Frameworks for Ethical Design Practice

Dorian Peters, Karina Vold, Diana Robinson et al.

2020 · 280 Zit.

Explainable Artificial Intelligence for 6G: Improving Trust between Human and Machine

Weisi Guo

2020 · 252 Zit.