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Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology
An Tang, Roger Tam, Alexandre Cadrin-Chênevert et al.
2018 · 507 Zit.
A clinical text classification paradigm using weak supervision and deep representation
Yanshan Wang, Sunghwan Sohn, Sijia Liu et al.
2019 · 417 Zit.
A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health
Adela C. Timmons, Jacqueline B. Duong, Natalia Simo Fiallo et al.
2022 · 220 Zit.
Bias recognition and mitigation strategies in artificial intelligence healthcare applications
Fereshteh Hasanzadeh, Colin B. Josephson, G Waters et al.
2025 · 179 Zit.
Evaluating large language models on a highly-specialized topic, radiation oncology physics
Jason Holmes, Zhengliang Liu, Lian Zhang et al.
2023 · 135 Zit.
Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs
Rebecca M. Jones, Anuj Kumar Sharma, Robert Hotchkiss et al.
2020 · 130 Zit.
The Potential of ChatGPT as a Self-Diagnostic Tool in Common Orthopedic Diseases: Exploratory Study
Tomoyuki Kuroiwa, Aida K. Sarcon, Takuya Ibara et al.
2023 · 122 Zit.
Deep Learning for Classification of Bone Lesions on Routine MRI
Feyisope Eweje, Bingting Bao, Jing Wu et al.
2021 · 117 Zit.
A Nationwide Network of Health AI Assurance Laboratories
Nigam H. Shah, John Halamka, Suchi Saria et al.
2023 · 101 Zit.
Discerning Tumor Status from Unstructured MRI Reports—Completeness of Information in Existing Reports and Utility of Automated Natural Language Processing
Lionel Tim‐Ee Cheng, Jiaping Zheng, Guergana Savova et al.
2009 · 97 Zit.
Artificial intelligence-assisted clinical decision support for childhood asthma management: A randomized clinical trial
Hee Yun Seol, Pragya Shrestha, Joy Fladager Muth et al.
2021 · 77 Zit.
Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index
Young J. Juhn, Euijung Ryu, Chung‐Il Wi et al.
2022 · 75 Zit.
Multi-model assurance analysis showing large language models are highly vulnerable to adversarial hallucination attacks during clinical decision support
Mahmud Omar, Vera Sorin, Jeremy D. Collins et al.
2025 · 74 Zit.
Radiology Gets Chatty: The ChatGPT Saga Unfolds
Harpreet Singh Grewal, Gagandeep Dhillon, Varun Monga et al.
2023 · 70 Zit.
AugGPT: Leveraging ChatGPT for Text Data Augmentation
Haixing Dai, Zhengliang Liu, Wenxiong Liao et al.
2025 · 68 Zit.