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医疗保健系统与人工智能:关注挑战与国际监管框架。

Healthcare Systems and Artificial Intelligence: Focus on Challenges and the International Regulatory Framework.

机构信息

Territorial Pharmaceutical Service, Local Health Unit Lanciano Vasto Chieti, Chieti, Italy.

Pharmaceutical Department, Asl Napoli 3 Sud, Dell'amicizia street 22, 80035, Nola, Naples, Italy.

出版信息

Pharm Res. 2024 Apr;41(4):721-730. doi: 10.1007/s11095-024-03685-3. Epub 2024 Mar 5.


DOI:10.1007/s11095-024-03685-3
PMID:38443632
Abstract

BACKGROUND: Nowadays, healthcare systems are coping with the challenge of countering the exponential growth of healthcare costs worldwide, to support sustainability and to guarantee access to treatment for all patients. METHODS: Artificial Intelligence (AI) is the technology able to perform human cognitive functions through the creation of algorithms. The value of AI in healthcare and its ability to address healthcare delivery issues has been a subject of discussion within the scientific community for several years. RESULTS: The aim of this work is to provide an overview of the primary uses of AI in the healthcare system, to discuss its desirable future uses while shedding light on the major issues related to implications within international regulatory processes. In this manuscript, it will be described the main applications of AI in various aspects of health care, from clinical studies to ethical implications, focusing on the international regulatory framework in countries in which AI is used, to discuss and compare strengthens and weaknesses. CONCLUSIONS: The challenges in regulatory processes to facilitate the integration of AI in healthcare are significant. However, overcoming them is essential to ensure that AI-based technologies are adopted safely and effectively.

摘要

背景:如今,医疗体系正在应对全球医疗成本指数级增长的挑战,以支持可持续性并确保所有患者都能获得治疗。

方法:人工智能(AI)是一种能够通过创建算法来执行人类认知功能的技术。人工智能在医疗保健中的价值及其解决医疗服务提供问题的能力,多年来一直是科学界讨论的主题。

结果:本工作的目的是提供对医疗系统中人工智能主要用途的概述,讨论其未来的理想用途,同时阐明与国际监管流程相关的主要问题。在本文中,将描述人工智能在医疗保健各个方面的主要应用,从临床研究到伦理问题,重点讨论在使用人工智能的国家中的国际监管框架,以讨论和比较优势和劣势。

结论:在监管流程中促进人工智能在医疗保健中的整合面临重大挑战。然而,克服这些挑战对于确保基于人工智能的技术得到安全有效的采用至关重要。

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Facilitators and Barriers to Implementing AI in Routine Medical Imaging: Systematic Review and Qualitative Analysis.

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本文引用的文献

[1]
Impacts of the advancement in artificial intelligence on laboratory medicine in low- and middle-income countries: Challenges and recommendations-A literature review.

Health Sci Rep. 2024-1-4

[2]
Think "HER2" different: integrative diagnostic approaches for HER2-low breast cancer.

Pathologica. 2023-12

[3]
Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum.

JAMA Intern Med. 2023-6-1

[4]
Must-have Qualities of Clinical Research on Artificial Intelligence and Machine Learning.

Balkan Med J. 2023-1-23

[5]
Artificial intelligence-based clinical decision support in pediatrics.

Pediatr Res. 2023-1

[6]
Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study.

Lancet Digit Health. 2020-3

[7]
COVID-19 and Private Health: Market and Governance Failure.

Development (Rome). 2020

[8]
Evaluating artificial intelligence in medicine: phases of clinical research.

JAMIA Open. 2020-9-8

[9]
Artificial Intelligence: Promise, Pitfalls, and Perspective.

JAMA. 2020-6-23

[10]
Improved protein structure prediction using potentials from deep learning.

Nature. 2020-1-15

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