Spiros Denaxas

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

2024 · 1.422 Zit. · BMJ

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

2022 · 427 Zit. · Nature Medicine

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

2022 · 294 Zit. · BMJ

PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods

2025 · 175 Zit. · BMJ

Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease

2022 · 129 Zit. · European Heart Journal

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

2022 · 7 Zit. · Nature Medicine

Clinical Applications of Artificial Intelligence in Real-World Data

2023 · 4 Zit.

Big data research is everyone's research—Making epilepsy data science accessible to the global community: Report of the <scp>ILAE</scp> big data commission

2024 · 4 Zit. · Epileptic Disorders

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

2025 · 3 Zit. · The Ewha Medical Journal

Biomedical Big Data: Opportunities and Challenges (Overview)

2023 · 2 Zit.

Referee report. For: Unintended consequences of machine learning in medicine? [version 1; referees: 1 approved]

2017 · 0 Zit. · Faculty of 1000 Research Ltd

Grounding Large Language Models in Clinical Evidence: A Retrieval-Augmented Generation System for Querying UK NICE Clinical Guidelines

2025 · 0 Zit. · ArXiv.org