University of North Carolina at Chapel Hill

The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment

Melissa Haendel, Christopher G. Chute, Tellen D. Bennett et al.

2020 · 574 Zit.

The Impact of Visualization Dashboards on Quality of Care and Clinician Satisfaction: Integrative Literature Review

Saif Khairat, Aniesha Dukkipati, Heather Alico Lauria et al.

2018 · 163 Zit.

Crowdsourcing in health and medical research: a systematic review

Cheng Wang, Larry Han, Gabriella Stein et al.

2020 · 134 Zit.

Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph

Xuhua Ren, Tingting Li, Xiujun Yang et al.

2018 · 124 Zit.

Potential Use of Artificial Intelligence in Infectious Disease: Take ChatGPT as an Example

Kunming Cheng, Zhiyong Li, Yongbin He et al.

2023 · 119 Zit.

Artificial intelligence, human intelligence and hybrid intelligence based on mutual augmentation

Mohammad Hossein Jarrahi, Christoph Lutz, Gemma Newlands

2022 · 104 Zit.

A Checklist to Elevate the Science of Surgical Database Research

Adil H. Haider, Karl Y. Bilimoria, Melina R. Kibbe

2018 · 94 Zit.

Evaluating the effectiveness of large language models in abstract screening: a comparative analysis

Michael Li, Jian‐Ping Sun, Xianming Tan

2024 · 86 Zit.

Addressing 6 challenges in generative AI for digital health: A scoping review

Tara Templin, Monika W. Perez, Sean Sylvia et al.

2024 · 76 Zit.

Including all voices in international data-sharing governance

Jane Kaye, Sharon F. Terry, Eric T. Juengst et al.

2018 · 74 Zit.

Machine Learning for Predicting Complications in Head and Neck Microvascular Free Tissue Transfer

Eric J. Formeister, Rachel Baum, P. Daniel Knott et al.

2020 · 72 Zit.

Chat GPT and Artificial Intelligence in Medical Writing: Concerns and Ethical Considerations

Alexander S. Doyal, David Sender, Monika Nanda et al.

2023 · 64 Zit.

Plagiarism in submitted manuscripts: incidence, characteristics and optimization of screening—case study in a major specialty medical journal

Jan Higgins, Feng‐Chang Lin, James P. Evans

2016 · 62 Zit.

AI Estimation of Gestational Age from Blind Ultrasound Sweeps in Low-Resource Settings

Teeranan Pokaprakarn, Juan Carlos Prieto, Joan T. Price et al.

2022 · 60 Zit.

Not all AI health tools with regulatory authorization are clinically validated

Sammy Chouffani El Fassi, Adonis Abdullah, Ying Fang et al.

2024 · 56 Zit.