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Mount Sinai Hospital

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Chatbots and Large Language Models in Radiology: A Practical Primer for Clinical and Research Applications

Rajesh Bhayana

2024 · 285 Zit.

GPT-4 in Radiology: Improvements in Advanced Reasoning

Rajesh Bhayana, Robert Bleakney, Satheesh Krishna

2023 · 129 Zit.

Evaluation of Reliability, Repeatability, Robustness, and Confidence of GPT-3.5 and GPT-4 on a Radiology Board–style Examination

Satheesh Krishna, Nishaant Bhambra, Robert Bleakney et al.

2024 · 70 Zit.

Use of an Artificial Intelligence Conversational Agent (Chatbot) for Hip Arthroscopy Patients Following Surgery

Tim Dwyer, Graeme Hoit, David Burns et al.

2023 · 44 Zit.

Digital twins, synthetic patient data, and in-silico trials: can they empower paediatric clinical trials?

Mohan Pammi, Prakesh S. Shah, Yang Liu et al.

2025 · 30 Zit.

Development, multi-institutional external validation, and algorithmic audit of an artificial intelligence-based Side-specific Extra-Prostatic Extension Risk Assessment tool (SEPERA) for patients undergoing radical prostatectomy: a retrospective cohort study

Jethro C.C. Kwong, Adree Khondker, Eric Meng et al.

2023 · 15 Zit.

Evaluating the application of ChatGPT in China’s residency training education: An exploratory study

Luxiang Shang, Rui Li, Mingyue Xue et al.

2024 · 12 Zit.

Improving Resource Utilization for Arthroplasty Care by Leveraging Machine Learning and Optimization: A Systematic Review

Bahar Entezari, Robert Koucheki, Aazad Abbas et al.

2023 · 11 Zit.

Can ChatGPT pass China's national medical licensing examination?

Luxiang Shang, Mingyue Xue, Yinglong Hou et al.

2023 · 10 Zit.

The evaluation of the performance of ChatGPT in the management of labor analgesia

Nada Ismaiel, Teresa Phuongtram Nguyen, Nan Guo et al.

2024 · 9 Zit.

The effect of resampling techniques on the performances of machine learning clinical risk prediction models in the setting of severe class imbalance: development and internal validation in a retrospective cohort

Janny Xue Chen Ke, Arunachalam DhakshinaMurthy, Ronald B. George et al.

2024 · 7 Zit.

Artificial intelligence/machine learning and journalology: Challenges and opportunities

Prakesh S. Shah, Ganesh Acharya

2024 · 5 Zit.

Chatbot GPT can be grossly inaccurate

Eleftherios P. Diamandis

2023 · 4 Zit.

Insights From Inputs: Enhancing Revision Total Joint Arthroplasty Resource Allocation With Machine Learning Prediction

Johnathan R. Lex, Bahar Entezari, Aazad Abbas et al.

2025 · 2 Zit.

Advancing Our Understanding of Women's Cardiovascular Health Through Digital Health and Artificial Intelligence

Andrea Carolina Morales-Lara, Wendy Tatiana Garzon-Siatoya, Beatriz A. Fernandez-Campos et al.

2023 · 2 Zit.