Ottawa Hospital Research Institute
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
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 · 972 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 · 573 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 · 557 Zit.
The Hong Kong Principles for assessing researchers: Fostering research integrity
David Moher, L.M. Bouter, Sabine Kleinert et al.
2020 · 516 Zit.
Measuring the Quality of Explanations: The System Causability Scale (SCS)
Andreas Holzinger, André Carrington, Heimo Müller
2020 · 377 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 · 373 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 · 301 Zit.
Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group
Viknesh Sounderajah, Hutan Ashrafian, Ravi Aggarwal et al.
2020 · 253 Zit.
A Globally Optimal k-Anonymity Method for the De-Identification of Health Data
Khaled El Emam, Fida K. Dankar, Romeo Issa et al.
2009 · 238 Zit.
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI
Viknesh Sounderajah, Hutan Ashrafian, Sherri Rose et al.
2021 · 226 Zit.
Canadian Association of Radiologists White Paper on Ethical and Legal Issues Related to Artificial Intelligence in Radiology
Jacob L. Jaremko, Marleine Azar, Rebecca Jaremko Bromwich et al.
2019 · 189 Zit.
A question of trust: can we build an evidence base to gain trust in systematic review automation technologies?
Annette M. O’Connor, Guy Tsafnat, James Thomas et al.
2019 · 158 Zit.
A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms
André Carrington, Paul Fieguth, Hammad Ali Qazi et al.
2020 · 157 Zit.
Reporting guidelines for clinical trials of artificial intelligence interventions: the SPIRIT-AI and CONSORT-AI guidelines
Hussein Ibrahim, Xiaoxuan Liu, Samantha Cruz Rivera et al.
2021 · 134 Zit.
PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare
Giovanni Cacciamani, Timothy N. Chu, Daniel I. Sanford et al.
2023 · 123 Zit.