Phoenix (United States)

An international study presenting a federated learning AI platform for pediatric brain tumors

Edward H. Lee, Michelle Han, Jason L. Wright et al.

2024 · 32 Zit.

Artificial Intelligence (AI) in pediatric endocrinology

Jeremy Winkelman, Diep Nguyen, Eric vanSonnenberg et al.

2023 · 5 Zit.

Readability, Accuracy, and Lexical Diversity of New ChatGPT Models for Common Carpal Tunnel Syndrome Questions

Romir Parmar, Sohail R. Daulat, Rakshit Shah et al.

2026 · 1 Zit.

Improving radiology reporting accuracy: use of GPT-4 to reduce errors in reports

Connor J Mayes, Camilo Reyes, Matt Truman et al.

2025 · 1 Zit.

Resilient AI for healthcare IoT: Addressing failure modes and safety challenges

Ria Cheruvu

2026 · 0 Zit.

Enhancing Oncology Care with IoT and AI: A Federated Learning Approach for Predictive Cancer Analytics

Vamsi Krishna Reddy Bandaru, Dedeepya Sai Gondi

2025 · 0 Zit.

TIP-28. Fine-tuning large language models using NCCN guidelines to aid primary CNS cancer treatment decisions

Connor Yost, Matthew Smith-Cohn, Yoshie Umemura

2025 · 0 Zit.

Better Concussion Assessment

Micheal T. Lee

1998 · 0 Zit.

AI for clinical trials in oncology

E. Cerami, I.B. Riaz, K.L. Kehl

2025 · 0 Zit.

A Systematic Review of AI-Powered Software Testing in Healthcare: Methodologies, Challenges, and Future Directions

Anant Wairagade, Kimberly Morton Cuthrell

2025 · 0 Zit.