Columbia University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial intelligence in cancer imaging: Clinical challenges and applications
Wenya Linda Bi, Ahmed Hosny, Matthew B. Schabath et al.
2019 · 1.779 Zit.
Clinical Decision Support in the Era of Artificial Intelligence
Edward H. Shortliffe, Martin Sepulveda
2018 · 746 Zit.
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment
Melissa Haendel, Christopher G. Chute, Tellen D. Bennett et al.
2020 · 573 Zit.
Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review
Theresa A. Koleck, Caitlin Dreisbach, Philip E. Bourne et al.
2018 · 410 Zit.
Blockchain technology for improving clinical research quality
Mehdi Benchoufi, Philippe Ravaud
2017 · 375 Zit.
Artificial intelligence in nursing: Priorities and opportunities from an international invitational think‐tank of the Nursing and Artificial Intelligence Leadership Collaborative
Charlene Ronquillo, Laura‐Maria Peltonen, Lisiane Pruinelli et al.
2021 · 333 Zit.
Evaluating large language models on medical evidence summarization
Liyan Tang, Zhaoyi Sun, Betina Idnay et al.
2023 · 321 Zit.
Almanac — Retrieval-Augmented Language Models for Clinical Medicine
Cyril Zakka, Rohan Shad, Akash Chaurasia et al.
2024 · 289 Zit.
Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence
Hanna von Gerich, Hans Moen, Lorraine J. Block et al.
2021 · 267 Zit.
Big data in digital healthcare: lessons learnt and recommendations for general practice
Raag Agrawal, Sudhakaran Prabakaran
2020 · 211 Zit.
Artificial Intelligence & Creativity: A Manifesto for Collaboration
Florent Vinchon, Todd Lubart, Sabrina Bartolotta et al.
2023 · 171 Zit.
Evaluation of ChatGPT-generated medical responses: A systematic review and meta-analysis
Qiuhong Wei, Zhengxiong Yao, Ying Cui et al.
2024 · 125 Zit.
Medical large language models are vulnerable to data-poisoning attacks
Daniel Alexander Alber, Zihao Yang, Anton Alyakin et al.
2025 · 117 Zit.
Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review
Manasvi Singh, Ashish Kumar, Narendra N. Khanna et al.
2024 · 112 Zit.
Clinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery Disease
Yuka Otaki, Ananya Singh, Paul Kavanagh et al.
2021 · 107 Zit.