Occupational Cancer Research Centre

Machine Learning in Medicine

Ben Van Calster, Laure Wynants

2019 · 201 Zit.

The influence, promise, and potential perils of artificial intelligence in veterinary medicine: a call for improved awareness and literacy

François Bertin, Jessica Lawrence, Stijn J M Niessen et al.

2026 · 3 Zit.

The use of, and attitudes toward, artificial intelligence in members of the American College of Veterinary Internal Medicine and the European College of Veterinary Internal Medicine - Companion Animals

François Bertin, Jessica Lawrence, Stijn J M Niessen et al.

2026 · 1 Zit.

The utility of artificial intelligence in plain language writing: A scoping review

Mohamed Ugas, Jimmy Huynh, Ashley Lenarcik-Packham et al.

2026 · 1 Zit.

144P Comparison of multiple large language models (LLMs) for assessment and management of sarcoma cases

S.S. Haque Hussain, H. Tariq, I. Sandaqji et al.

2026 · 0 Zit.

214P Influence of prompt-engineering and custom GPTs on ChatGPT-5.1’s internal consistency (IC) and external validity (EV) when assessing sarcoma cases

I. Sandaqji, S.S. Hussain, H. Tariq et al.

2026 · 0 Zit.

An Introduction to Artificial Intelligence and Machine Learning for Veterinary Professionals

Christopher Pinard

2026 · 0 Zit.

Assessing Privacy Leakage in Synthetic 3-D PET Imaging Using Transversal GAN

Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi et al.

2023 · 0 Zit.

Decoding Drift: Trustworthy Prompt Optimization in High-Stakes AI Environments

Gokul Narain Natarajan, Sarbani Paul, Jyoti Kunal Shah et al.

2025 · 0 Zit.