7 citations · 18 across the 6 of their papers we have counts for
6 papers
Clinical Validation and Prospective Deployment of an Automated Deep Learning-Based Coronary Segmentation and Cardiac Toxicity Risk Prediction System
Christian V. Guthier, Christopher E Kehayias, Cosmin Ciausu +15
Importance: Coronary algorithm for cardiac sub structures and prospective real-time surveillance of cardiac dose exposure. Methods: Retro and prospective study to validate AI auto-…
Foundation Artificial Intelligence Models for Health Recognition Using Face Photographs (FAHR-Face)
Fridolin Haugg, Grace Lee, John He +14
Background: Facial appearance offers a noninvasive window into health. We built FAHR-Face, a foundation model trained on >40 million facial images and fine-tuned it for two distinc…
Vision Foundation Models for Computed Tomography
Suraj Pai, Ibrahim Hadzic, Dennis Bontempi +5
Foundation models (FMs) have shown transformative potential in radiology by performing diverse, complex tasks across imaging modalities. Here, we developed CT-FM, a large-scale 3D…
Interactive 3D Segmentation for Primary Gross Tumor Volume in Oropharyngeal Cancer
Mikko Saukkoriipi, Jaakko Sahlsten, Joel Jaskari +12
The main treatment modality for oropharyngeal cancer (OPC) is radiotherapy, where accurate segmentation of the primary gross tumor volume (GTVp) is essential. However, accurate GTV…
The impact of responding to patient messages with large language model assistance
Shan Chen, Marco Guevara, Shalini Moningi +12
Documentation burden is a major contributor to clinician burnout, which is rising nationally and is an urgent threat to our ability to care for patients. Artificial intelligence (A…
Evolving Horizons in Radiotherapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, and Moving Beyond Geometric Quantification
Kareem A. Wahid, Carlos E. Cardenas, Barbara Marquez +8
Deep learning has significantly advanced the potential for automated contouring in radiotherapy planning. In this manuscript, guided by contemporary literature, we underscore three…