Cambridge School
Relevante Arbeiten
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.