Bellevue Hospital Center
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Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Prevalence of abnormal cases in an image bank affects the learning of radiograph interpretation
Martin Pusic, John S. Andrews, David Kessler et al.
2012 · 54 Zit.
Chatbots Vs. Human Experts: Evaluating Diagnostic Performance of Chatbots in Uveitis and the Perspectives on AI Adoption in Ophthalmology
William Rojas‐Carabali, Alok Sen, Aniruddha Agarwal et al.
2023 · 40 Zit.
Development and Validation of a Machine Learning Model for Automated Assessment of Resident Clinical Reasoning Documentation
Verity Schaye, Benedict Guzman, Jesse Burk‐Rafel et al.
2022 · 37 Zit.
Forecasting cyber security threats landscape and associated technical trends in telehealth using Bidirectional Encoder Representations from Transformers (BERT)
Usharani Hareesh Govindarajan, Dhiraj K. Singh, Hardik Gohel
2023 · 17 Zit.
Acute Traumatic Fibular Bowing Associated with Tibial Fractures
Cornelia Golimbu, Hossein Firooznia, Mahvash Rafii et al.
1984 · 10 Zit.
A perspective for adapting generalist AI to specialized medical AI applications and their challenges
Zifeng Wang, Hanyin Wang, Benjamin Danek et al.
2025 · 6 Zit.
Survival After Radical Cystectomy for Bladder Cancer: Development of a Fair Machine Learning Model
Samuel Carbunaru, Yassamin Neshatvar, Hyungrok Do et al.
2024 · 3 Zit.
Lifelong Learning of Large Language Model Based Agents: A Roadmap
Junhao Zheng, Chengming Shi, Xidi Cai et al.
2026 · 3 Zit.
Development and Deployment of a Machine Learning Model to Triage the Use of Prostate <scp>MRI</scp> ( <scp>ProMT</scp> ‐ <scp>ML</scp> ) in Patients With Suspected Prostate Cancer
Jesse Persily, Hersh Chandarana, Angela Tong et al.
2025 · 2 Zit.
How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound
Menghan Yu, Sourabh Kulhare, Courosh Mehanian et al.
2023 · 2 Zit.
Reducing bias in healthcare artificial intelligence: A white paper
Carolyn Sun, Shannon L. Harris
2024 · 1 Zit.
Mitigating Disparities in Prostate Cancer Survival Prediction Through Fairness‐Aware Machine Learning Models
Hyungrok Do, Rajesh Ranganath, Katie Murray et al.
2026 · 0 Zit.
Widespread, Helpful, and Unclear
Fatema Khatun, Eddylis Rios, Carolyn Sun
2026 · 0 Zit.
Will Artificial Intelligence Nurse Practitioners Become True? Performance Evaluation of ChatGPT in the American Academy of Nurse Practitioners Certification Board Exam
Lang Peng, Yiqun Wu, Jiayi Sun et al.
2025 · 0 Zit.
Response to the Comment on “Evaluating the Diagnostic Accuracy and Management Recommendations of ChatGpt in Uveitis”
William Rojas‐Carabali, Carlos Cifuentes‐González, Xin Wei et al.
2023 · 0 Zit.