Diagnostic and Prognostic Research

Featured Collection: Validation and transparency for AI-based diagnosis and prognosis in healthcare

AI has led to a surge in the development of diagnostic and prognostic models in healthcare. Rigorous validation is essential to ensure that AI-based prognosis and diagnosis can be used safely and accurately in clinical practice. Transparency is crucial to gain trust in these algorithms and facilitate accountability. To address this, we invite contributions to our Collection focused on the validation and transparency of AI-based diagnosis and prognosis.

Featured Collection: Methodology and reporting of diagnostic and prognostic research

To celebrate the launch of Diagnostic and Prognostic Research in 2017, the Editors-in-Chief, Gary Collins, Nancy R Cook and Karel GM Moons, have created a collection of articles that will address different aspects of diagnostic and prognostic research methodology and reporting. Catch up on the articles so far, with more articles added in due course.

About the Editors

Gary Collins, Editor-in-Chief

Gary Collins is Professor of Medical Statistics at the Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Science, University of Oxford and a fellow at the UK EQUATOR Centre. Professor Collins has a PhD in Mathematical Statistics from the University of Exeter (2000). He has long standing research interests in studies of prognosis, particularly in aspects of model validation. Alongside Professor Karel Moons, Professor Collins led the TRIPOD initiative, to develop reporting guidelines for prediction models studies, the CHARMS checklist for systematic reviews of prediction model studies, and is part of the PROBAST working group for developing a risk of bias tool for prediction model studies.

Nancy R Cook, Editor-in-Chief

Nancy Cook is a biostatistician and Professor in the Department of Medicine at the Brigham & Women’s Hospital and Harvard Medical School, and Professor of Epidemiology at the Harvard T.H. Chan School of Public Health. Dr Cook received her ScD in Biostatistics from the Harvard School of Public Health, and is involved in the design, conduct, and analysis of several large randomized trials as well as observational data. Dr Cook is also interested in developing risk prediction scores using clinical and genetic biomarkers. She helped develop the Reynolds Risk Score for cardiovascular disease as well as reclassification methods for comparing and evaluating risk prediction models.

Karel G M Moons, Editor-in-Chief

Karel Moons is Professor of Clinical Epidemiology at the Julius Center for Health Sciences and Primary Care. Professor Moons is Director of Research in the management team of the Julius Center and heading the research programme ‘Methodology’. Since 2005, Professor Moons has an Adjunct Professorship at VanderBilt University, Nashville, USA. Professor Moons' experience covers the full range of clinical study design and data analysis, varying from diagnostic test evaluation, prognostic (bio)marker studies to therapeutic trials, etiologic and meta epidemiological studies. His main focus concerns the methodology of diagnostic and prognostic research, both primary and meta analytical research. His major expertise is testing and introducing innovations for design and analysis for development, validation and implementation of diagnostic and prognostic prediction models.