Trinity Health
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Revolutionizing Cardiac Imaging: A Scoping Review of Artificial Intelligence in Echocardiography, CTA, and Cardiac MRI
Ali Moradi, Olawale O Olanisa, Tochukwu Nzeako et al.
2024 · 15 Zit.
Artificial Intelligence in Emergency Medicine: A Primer for the Nonexpert
Moira E. Smith, C. Christopher Zalesky, Sangil Lee et al.
2025 · 8 Zit.
The role of artificial intelligence in colorectal cancer and polyp detection: A systematic review.
Sakshi Bai, Bipneet Singh, Jahnavi Ethakota et al.
2025 · 4 Zit.
Diagnostic accuracy of deep learning in detection and prognostication of renal cell carcinoma: a systematic review and meta-analysis
Deepak Chandramohan, Hari Naga Garapati, Udit Nangia et al.
2024 · 3 Zit.
Artificial intelligence in interventional cardiology: a review of its role in diagnosis, decision-making, and procedural precision
Tochukwu Nzeako, Chukwuka Elendu, Gift Echefu et al.
2025 · 2 Zit.
Predicting postoperative day 1 hematocrit levels after hysterectomy for malignant indication: Validating a previously published model
Aparna Kailasam, Peter G. Brodeur, Allan R. Mayer et al.
2020 · 1 Zit.
Admissibility Failure: Why Post-Hoc Governance Cannot Control High-Velocity Socio-Technical Systems
Ricky Dean Jones
2026 · 0 Zit.
Protective predictors of cardiovascular disease: an explainable AI approach
Le Huu Nhat Minh, Quang Hien Kha, Hong-Han Huynh et al.
2025 · 0 Zit.
Artificial Intelligence Education in Radiology Training: A Systematic Review of Effectiveness, Barriers, and Future Directions
Pedram Keshavarz, Zahra Mohammadigoldar, Arash Bedayat et al.
2025 · 0 Zit.
SA14 Assessing the Use of Artificial Intelligence in Publication-Grade Research: A Literature Review of Applications in HEOR
Nandini Hadker, Aishwarya Kulkarni, Brittany Smith et al.
2025 · 0 Zit.
Admissibility Failure: Why Post-Hoc Governance Cannot Control High-Velocity Socio-Technical Systems
Ricky Dean Jones
2026 · 0 Zit.
A Student-Centered Approach Towards Implementing Large Language Models (LLMs) in Medical Education
Lancelot P. Herpin, Pratik S Vadlamudi, Rukam Mahawa et al.
2026 · 0 Zit.