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Oral Oncology|January 9, 2019
Intensity modulated proton therapy (IMPT) - The future of IMRT for head and neck cancerAmy C Moreno, Steven J Frank, Adam S Garden, et al.The Lancet. Digital Health|May 9, 2025
FaceAge, a deep learning system to estimate biological age from face photographs to improve prognostication: a model development and validation studyDennis Bontempi, Osbert Zalay, Danielle S Bitterman, et al.Plos One|April 29, 2026
A cross-sectional protocol for experimental tongue high-density surface electromyography to detect and classify radiation-associated hypoglossal neuropathyNathan J Hansen, Karin Woodman, Christine Peterson, et al.Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|September 19, 2024
Artificial intelligence uncertainty quantification in radiotherapy applications - A scoping reviewKareem A Wahid, Zaphanlene Y Kaffey, David P Farris, et al.Medrxiv : the Preprint Server for Health Sciences|May 27, 2024
Artificial Intelligence Uncertainty Quantification in Radiotherapy Applications - A Scoping ReviewKareem A Wahid, Zaphanlene Y Kaffey, David P Farris, et al.Communications Medicine|December 19, 2025
Simulated patient systems powered by large language model-based AI agents offer potential for transforming medical educationHuizi Yu, Jiayan Zhou, Lingyao Li, et al.Medrxiv : the Preprint Server for Health Sciences|October 14, 2024
Collaborative Large Language Models for Automated Data Extraction in Living Systematic ReviewsMuhammad Ali Khan, Umair Ayub, Syed Arsalan Ahmed Naqvi, et al.Nature Medicine|January 8, 2025
The TRIPOD-LLM reporting guideline for studies using large language modelsJack Gallifant, Majid Afshar, Saleem Ameen, et al.Journal of the American Medical Informatics Association : JAMIA|January 21, 2025
Collaborative large language models for automated data extraction in living systematic reviewsMuhammad Ali Khan, Umair Ayub, Syed Arsalan Ahmed Naqvi, et al.Medrxiv : the Preprint Server for Health Sciences|August 30, 2024
The TRIPOD-LLM Statement: A Targeted Guideline For Reporting Large Language Models UseJack Gallifant, Majid Afshar, Saleem Ameen, et al.Pageof 17