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Health Professions 논문 리뷰
Health Professions 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
334개의 결과
Colin: A Multimodal Human-AI Co-Creation Storytelling System To Support Children's Multi-Level Narrative Skills
Lyumanshan Ye, Jiandong Jiang 외 8명
arXiv (Cornell University)
|
2024
|
3 회 인용
Collaborative Pressure Ulcer Prevention: An Automated Skin Damage and Pressure Ulcer Assessment Tool for Nursing Professionals, Patients, Family Members and Carers
Paul Fergus, Carl Chalmers 외 1명
arXiv (Cornell University)
|
2018
|
3 회 인용
Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes
Sharon Jiang, Shannon Shen 외 6명
arXiv (Cornell University)
|
2023
|
3 회 인용
Data for: The Virtual Doctor: An Interactive Artificial Intelligence based on Deep Learning for Non-Invasive Prediction of Diabetes
Dominik Heider
arXiv (Cornell University)
|
2020
|
3 회 인용
Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research
Ramtin Zargari Marandi, Anne Svane Frahm 외 1명
ArXiv.org
|
2025
|
3 회 인용
Designing Adaptive User Interfaces for mHealth Applications Targeting Chronic Disease: A User-Centered Approach
Wei Wang, John Grundy 외 3명
arXiv (Cornell University)
|
2024
|
3 회 인용
Do Hospital Data Breaches Reduce Patient Care Quality?
Sung Jai Choi, M. Eric Johnson
arXiv (Cornell University)
|
2019
|
3 회 인용
Do We Need More Training Data?
Xiangxin Zhu, Carl Vondrick 외 2명
2015
|
3 회 인용
Electronical Health Record's Systems. Interoperability
Miss Angela Simona Apostol, Cosmin Catu 외 1명
ArXiv.org
|
2009
|
3 회 인용
Evaluating Hospital Case Cost Prediction Models Using Azure Machine Learning Studio
Alexei Botchkarev
arXiv (Cornell University)
|
2018
|
3 회 인용
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