St. Paul's Hospital

Artificial Intelligence and the Medical Radiation Profession: How Our Advocacy Must Inform Future Practice

Andrew Murphy, Brian Liszewski

2019 · 30 Zit.

Methodologic Guidance and Expectations for the Development and Reporting of Prediction Models and Causal Inference Studies

Michael O. Harhay, David H. Au, Sharon Dell et al.

2020 · 10 Zit.

Evaluating human ability to distinguish between ChatGPT-generated and original scientific abstracts

Kylie Nabata, Yasir AlShehri, Abdullah Mashat et al.

2025 · 5 Zit.

Establishing methodological standards for the development of artificial intelligence-based Clinical Decision Support in emergency medicine

Hashim Kareemi, Henry Li, Akshay Rajaram et al.

2025 · 4 Zit.

Opening the black box: challenges and opportunities regarding interpretability of artificial intelligence in emergency medicine

Akshay Rajaram, Henry Li, Jessalyn K. Holodinsky et al.

2025 · 2 Zit.

Future Developments and Assimilation of AI in Radiology

Aakanksha Agarwal, Timothy Murray

2023 · 0 Zit.

Updated Policy on the Use of Artificial Intelligence for the Journal of Neurosurgical Anesthesiology

Alana M. Flexman, Abhijit V. Lele, on behalf of the JNA Editorial Board

2026 · 0 Zit.

Assessing ChatGPT's capability in understanding and reporting antiretroviral therapy drug–drug interaction effects: Quantitative and qualitative results from the ACCURATE‐DDI study

Erin Ready, Christopher J. Patterson, Sara Gibbons et al.

2025 · 0 Zit.