Leiden University Medical Center

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 · 1.867 Zit.

Calibration: the Achilles heel of predictive analytics

On behalf of Topic Group ‘Evaluating diagnostic tests and prediction models’ of the STRATOS initiative, Ben Van Calster, David J. McLernon et al.

2019 · 1.772 Zit.

Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence

Gary S. Collins, Paula Dhiman, Constanza L. Andaur Navarro et al.

2021 · 780 Zit.

Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review

Anne de Hond, Artuur Leeuwenberg, Lotty Hooft et al.

2022 · 472 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.

Metrics reloaded: recommendations for image analysis validation

Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.

2024 · 380 Zit.

Big Data and Predictive Analytics

Nilay D. Shah, Ewout W. Steyerberg, David M. Kent

2018 · 241 Zit.

Time to reality check the promises of machine learning-powered precision medicine

Jack Wilkinson, Kellyn F Arnold, Eleanor J. Murray et al.

2020 · 238 Zit.

Expert consensus on the metaverse in medicine

Dawei Yang, Jian Zhou, Rongchang Chen et al.

2022 · 235 Zit.

Predictive analytics in health care: how can we know it works?

Ben Van Calster, Laure Wynants, D. Timmerman et al.

2019 · 214 Zit.

Current applications and challenges in large language models for patient care: a systematic review

Felix Busch, Lena Hoffmann, Christopher Rueger et al.

2025 · 194 Zit.

Methodological guidance for the evaluation and updating of clinical prediction models: a systematic review

Mary Ann E. Binuya, Ellen G. Engelhardt, Winnie Schats et al.

2022 · 181 Zit.

Understanding metric-related pitfalls in image analysis validation

Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.

2024 · 166 Zit.

Algorithm-based care versus usual care for the early recognition and management of complications after pancreatic resection in the Netherlands: an open-label, nationwide, stepped-wedge cluster-randomised trial

F Jasmijn Smits, Anne Claire Henry, Marc G Besselink et al.

2022 · 166 Zit.

Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence

Nikolas Leßmann, Clara I. Sá‎nchez, Ludo F.M. Beenen et al.

2020 · 145 Zit.