University of Ottawa
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 · 907 Zit.
Chatbots in Education and Research: A Critical Examination of Ethical Implications and Solutions
Chokri Kooli
2023 · 571 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 · 547 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 · 539 Zit.
The Hong Kong Principles for assessing researchers: Fostering research integrity
David Moher, L.M. Bouter, Sabine Kleinert et al.
2020 · 509 Zit.
Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology
An Tang, Roger Tam, Alexandre Cadrin-Chênevert et al.
2018 · 497 Zit.
Machine Learning and Deep Learning in Medical Imaging: Intelligent Imaging
Geoffrey Currie, K. Elizabeth Hawk, Eric Rohren et al.
2019 · 436 Zit.
Computerised clinical decision support systems and absolute improvements in care: meta-analysis of controlled clinical trials
Janice L. Kwan, Lisha Lo, Jacob Ferguson et al.
2020 · 423 Zit.
Peering Into the Black Box of Artificial Intelligence: Evaluation Metrics of Machine Learning Methods
Guy Handelman, Hong Kuan Kok, Ronil V. Chandra et al.
2018 · 407 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 · 342 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 · 288 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 · 249 Zit.
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI
Viknesh Sounderajah, Hutan Ashrafian, Sherri Rose et al.
2021 · 218 Zit.
Artificial Intelligence in Primary Health Care: Perceptions, Issues, and Challenges
Harshana Liyanage, Siaw‐Teng Liaw, Jitendra Jonnagaddala et al.
2019 · 195 Zit.
Methodological quality of COVID-19 clinical research
Richard G. Jung, Pietro Di Santo, Cole Clifford et al.
2021 · 188 Zit.