Medical College of Wisconsin
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial intelligence, physiological genomics, and precision medicine
Anna Marie Williams, Yong Liu, Kevin R. Regner et al.
2018 · 127 Zit.
Generative Artificial Intelligence Through ChatGPT and Other Large Language Models in Ophthalmology
Ting Fang Tan, Arun James Thirunavukarasu, J. Peter Campbell et al.
2023 · 105 Zit.
Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade
M. Álvaro Berbís, David S. McClintock, Andrey Bychkov et al.
2023 · 100 Zit.
Impact of Big Data Analytics on People’s Health: Overview of Systematic Reviews and Recommendations for Future Studies
Israel Júnior Borges do Nascimento, Milena Soriano Marcolino, Hebatullah Mohamed Abdulazeem et al.
2021 · 82 Zit.
Artificial Intelligence, Computational Simulations, and Extended Reality in Cardiovascular Interventions
Saurabhi Samant, Jules Joel Bakhos, Wei Wu et al.
2023 · 80 Zit.
Artificial Intelligence in Medicine & ChatGPT: De-Tether the Physician
Anthony M. DiGiorgio, Jesse M. Ehrenfeld
2023 · 79 Zit.
Development and Validation of an Artificial Intelligence–Powered Platform for Prostate Cancer Grading and Quantification
Wei Huang, Ramandeep S. Randhawa, Parag Jain et al.
2021 · 66 Zit.
Artificial intelligence-driven digital scribes in clinical documentation: Pilot study assessing the impact on dermatologist workflow and patient encounters
David Y. Cao, Jamie R. Silkey, Michael Decker et al.
2024 · 56 Zit.
Keeping the “Human in the Loop” in the Age of Artificial Intelligence
Fabrice Jotterand, Clara Bosco
2020 · 51 Zit.
ChatGPT and large language models (LLMs) awareness and use. A prospective cross-sectional survey of U.S. medical students
Conner Ganjavi, Michael Eppler, Devon O'Brien et al.
2024 · 46 Zit.
ChatGPT, Large Language Models, and Generative AI as Future Augments of Surgical Cancer Care
Anai N. Kothari
2023 · 43 Zit.
Artificial Intelligence in Emergency Medicine: Benefits, Risks, and Recommendations
Laura Vearrier, Arthur R. Derse, Jesse B. Basford et al.
2022 · 41 Zit.
Analysis of RadLex Coverage and Term Co-occurrence in Radiology Reporting Templates
Yi Hong, Jin Zhang, Marta E. Heilbrun et al.
2011 · 39 Zit.
The ethical considerations including inclusion and biases, data protection, and proper implementation among AI in radiology and potential implications
Clarissa Martin, Kyle DeStefano, Harry Haran et al.
2022 · 37 Zit.
Imaging AI in Practice: A Demonstration of Future Workflow Using Integration Standards
Walter F. Wiggins, Kirti Magudia, Teri M. Sippel Schmidt et al.
2021 · 36 Zit.