OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 12.03.2026, 01:06

Columbia University

376.769 Arbeiten44.845.369 Zitationen
Land: USTyp: education

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.