A Call for Artificial Intelligence Implementation Science Centers to Evaluate Clinical Effectiveness-Reference-Cited by-同舟云学术

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A Call for Artificial Intelligence Implementation Science Centers to Evaluate Clinical Effectiveness

Published:2024-07-25 Issue:8 Volume:1 Page:
ISSN:2836-9386
Container-title:NEJM AI
language:en
Short-container-title:NEJM AI

Author:

Longhurst Christopher A.¹^ORCID,Singh Karandeep¹^ORCID,Chopra Aneesh²^ORCID,Atreja Ashish³^ORCID,Brownstein John S.⁴⁵^ORCID

Affiliation:

1. Department of Biomedical Informatics, UC San Diego Health, San Diego, CA

2. CareJourney, Arlington, VA

3. Department of Medicine, UC Davis Health, Sacramento, CA

4. Department of Pediatrics, Harvard Medical School, Boston

5. Innovation and Digital Health Accelerator, Boston Children’s Hospital, Boston

Publisher

Massachusetts Medical Society

Reference17 articles.

1. Bending the patient safety curve: how much can AI help?

2. To Do No Harm — and the Most Good — with AI in Health Care

3. A Nationwide Network of Health AI Assurance Laboratories

4. Regulate Artificial Intelligence in Health Care by Prioritizing Patient Outcomes

5. Bringing the Promise of Artificial Intelligence to Critical Care: What the Experience With Sepsis Analytics Can Teach Us

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Most Disruptive Near-Term Use of AI in Cancer Care: Patient Empowerment Through Software Agents;AI in Precision Oncology;2024-08-30

2. Vignette-based comparative analysis of ChatGPT and specialist treatment decisions for rheumatic patients: results of the Rheum2Guide study;Rheumatology International;2024-08-10

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