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Artificial Intelligence in Geriatrics: Riding the Inevitable Tide of Promise, Challenges, and Considerations.

作者信息

Abadir Peter, Chellappa Rama

机构信息

Department of Medicine, Division of Geriatrics Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Department of Electrical and Computer Engineering, Johns Hopkins University Whiting School of Engineering and the Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

出版信息

J Gerontol A Biol Sci Med Sci. 2024 Feb 1;79(2). doi: 10.1093/gerona/glad279.

DOI:10.1093/gerona/glad279
PMID:38289911
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10826903/
Abstract
摘要

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[1]
Navigating and diagnosing cognitive frailty in research and clinical domains.

Nat Aging. 2023-11

[2]
Automated machine learning (AutoML) can predict 90-day mortality after gastrectomy for cancer.

Sci Rep. 2023-7-8

[3]
The promise of AI and technology to improve quality of life and care for older adults.

Nat Aging. 2023-6

[4]
Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis.

Nat Med. 2022-7

[5]
Artificial Intelligence and its future potential in lung cancer screening.

EXCLI J. 2020-12-11

[6]
A framework for making predictive models useful in practice.

J Am Med Inform Assoc. 2021-6-12

[7]
Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians.

J Med Internet Res. 2020-6-19

[8]
SpineCloud: image analytics for predictive modeling of spine surgery outcomes.

J Med Imaging (Bellingham). 2020-5

[9]
Machine Learning Approaches to Predict 6-Month Mortality Among Patients With Cancer.

JAMA Netw Open. 2019-10-2

[10]
Dissecting racial bias in an algorithm used to manage the health of populations.

Science. 2019-10-25

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