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Cambridge School

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

The promise of large language models in health care

Anmol Arora, Anmol Arora, Ananya Arora et al.

2023 · 147 Zit.

Adoption of artificial intelligence in breast imaging: evaluation, ethical constraints and limitations

Sarah Hickman, Gabrielle Baxter, Fiona J. Gilbert

2021 · 105 Zit.

Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations

Joseph Alderman, Joanne Palmer, Elinor Laws et al.

2024 · 98 Zit.

Personality Traits in Large Language Models

Gregory Serapio‐García, Mustafa Safdari, Clément Crepy et al.

2023 · 95 Zit.

Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for Amplifying the Signal While Reducing the Noise

Derek Driggs, Ian Selby, Michael Roberts et al.

2021 · 32 Zit.

Synthetic patient data in health care: a widening legal loophole

Anmol Arora, Anmol Arora, Ananya Arora et al.

2022 · 29 Zit.

High-performance automated abstract screening with large language model ensembles

Rohan Sanghera, Arun James Thirunavukarasu, Marc Khoury et al.

2025 · 28 Zit.

Artificial intelligence in clinical imaging: a health system approach

Fiona J. Gilbert, SW Smye, Carola‐Bibiane Schönlieb

2019 · 26 Zit.

GPT-4 and medical image analysis: strengths, weaknesses and future directions

Ethan Waisberg, Joshua Ong, Mouayad Masalkhi et al.

2023 · 26 Zit.

The urgent need to accelerate synthetic data privacy frameworks for medical research

Anmol Arora, Siegfried K. Wagner, Robin Carpenter et al.

2024 · 25 Zit.

Large Language Models Take on Cardiothoracic Surgery: A Comparative Analysis of the Performance of Four Models on American Board of Thoracic Surgery Exam Questions in 2023

Zain Khalpey, Ujjawal Kumar, Nicholas King et al.

2024 · 16 Zit.

Moravec's paradox and the fear of job automation in health care

Anmol Arora

2023 · 8 Zit.

A systematic review of ENT retractions

Rosalind Di Traglia, Henry Dunne, James R. Tysome et al.

2024 · 6 Zit.

Balancing promise and concern in AI therapy: a critical perspective on early evidence from the MIT–OpenAI RCT

Yaakov Ophir, Refael Tikochinski, Zohar Elyoseph et al.

2025 · 4 Zit.

Building a construction law knowledge repository to enhance general-purpose large language model performance on domain question-answering: a case of China

Shenghua Zhou, Hongyu Wang, S. Thomas Ng et al.

2025 · 3 Zit.