Seattle Pacific University

Ethical implications of conversational agents in global public health

David D. Luxton

2020 · 100 Zit.

Assessing the accuracy and quality of artificial intelligence (AI) chatbot-generated responses in making patient-specific drug-therapy and healthcare-related decisions

Meron W. Shiferaw, Taylor Zheng, Abigail Winter et al.

2024 · 48 Zit.

Recommendations for Performance Evaluation of Machine Learning in Pathology: A Concept Paper From the College of American Pathologists

Matthew G. Hanna, Niels Olson, Mark D. Zarella et al.

2023 · 32 Zit.

A systematic assessment of large language models’ knowledge of rare diseases: How much do large language models know about rare disease?

Tudor Groza, Angela Marcello, Tristan Carlisle et al.

2025 · 2 Zit.

Zero-Shot PI-RADS Version 2.1 Scoring with ChatGPT-4 Turbo and Llama 3: Diagnostic Performance and Agreement with Abdominal Radiologists

Negar Firoozeh, Domenico Mastrodicasa, Spencer C. Behr et al.

2025 · 1 Zit.

Ensuring Optimal Engagement with AI Chatbots for Mental Health: Lessons Learned from Digital Mental Health Interventions

Adam M. Kuczynski, Patricia A. Areán

2026 · 0 Zit.

Temporal trends in large language model (LLM) accuracy: A meta-analysis of multiple-choice question performance in dentistry and dental education

Alison F. Doubleday, Colleen M. Cheverko, Olena Bolgova et al.

2026 · 0 Zit.

No Knew Typos: Modernizing Radiology Dictation

Aaron Abajian, Hoiwan Cheung

2022 · 0 Zit.

More is better: harnessing artificial intelligence and big data for enhanced cardiovascular risk prediction

Daniel Seung Kim, Shwetak Patel, Eugene Yang

2025 · 0 Zit.