{"title":"在马来西亚医疗保健中导航人工智能：研究发展，道德困境和治理策略。","authors":"Kean Chang Phang, Tze Chang Ng, Sharon Kaur Gurmukh Singh, Teck Chuan Voo, Wellester Anak Alvis","doi":"10.1007/s41649-024-00314-4","DOIUrl":null,"url":null,"abstract":"<div><p>In the ever-evolving landscape of Artificial Intelligence in Healthcare (AIH), understanding the entities and legal frameworks governing its research and development is crucial. This report delves into the intricacies of AIH in Malaysia, undertaking a comprehensive literature search on scientific databases, government portals, and news sources. Additionally, bibliometric analysis has been concurrently conducted to discern trends and developments in AIH over the years. Notably, the interest in AIH has seen a consistent rise since 2017, marked by a growing number of use cases (25 reported here) developed by both local and foreign innovators and applicators. Despite this surge in research and adoption, Malaysia lacks direct legislation specifically addressing AIH technologies, leaving them subject to 11 existing laws. This lack of clear oversight is compounded by the insufficient expertise within local regulatory and ethical bodies to effectively assess AIH research and deployment. The resultant challenges include bureaucratic hurdles for AIH innovators and applicators, raising ethical concerns related to patient autonomy, privacy, data management, AI robustness, and liability. To address these issues, this paper recommends: (1) adopting international ethical guidelines for AIH, (2) enhancing public awareness and education on AI technologies, and (3) promoting AIH research through clinical or silent trials to improve oversight and foster innovation.\n</p></div>","PeriodicalId":44520,"journal":{"name":"Asian Bioethics Review","volume":"17 3","pages":"631 - 665"},"PeriodicalIF":1.1000,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Navigating Artificial Intelligence in Malaysian Healthcare: Research Developments, Ethical Dilemmas, and Governance Strategies\",\"authors\":\"Kean Chang Phang, Tze Chang Ng, Sharon Kaur Gurmukh Singh, Teck Chuan Voo, Wellester Anak Alvis\",\"doi\":\"10.1007/s41649-024-00314-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In the ever-evolving landscape of Artificial Intelligence in Healthcare (AIH), understanding the entities and legal frameworks governing its research and development is crucial. This report delves into the intricacies of AIH in Malaysia, undertaking a comprehensive literature search on scientific databases, government portals, and news sources. Additionally, bibliometric analysis has been concurrently conducted to discern trends and developments in AIH over the years. Notably, the interest in AIH has seen a consistent rise since 2017, marked by a growing number of use cases (25 reported here) developed by both local and foreign innovators and applicators. Despite this surge in research and adoption, Malaysia lacks direct legislation specifically addressing AIH technologies, leaving them subject to 11 existing laws. This lack of clear oversight is compounded by the insufficient expertise within local regulatory and ethical bodies to effectively assess AIH research and deployment. The resultant challenges include bureaucratic hurdles for AIH innovators and applicators, raising ethical concerns related to patient autonomy, privacy, data management, AI robustness, and liability. To address these issues, this paper recommends: (1) adopting international ethical guidelines for AIH, (2) enhancing public awareness and education on AI technologies, and (3) promoting AIH research through clinical or silent trials to improve oversight and foster innovation.\\n</p></div>\",\"PeriodicalId\":44520,\"journal\":{\"name\":\"Asian Bioethics Review\",\"volume\":\"17 3\",\"pages\":\"631 - 665\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Bioethics Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s41649-024-00314-4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ETHICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Bioethics Review","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s41649-024-00314-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ETHICS","Score":null,"Total":0}
Navigating Artificial Intelligence in Malaysian Healthcare: Research Developments, Ethical Dilemmas, and Governance Strategies
In the ever-evolving landscape of Artificial Intelligence in Healthcare (AIH), understanding the entities and legal frameworks governing its research and development is crucial. This report delves into the intricacies of AIH in Malaysia, undertaking a comprehensive literature search on scientific databases, government portals, and news sources. Additionally, bibliometric analysis has been concurrently conducted to discern trends and developments in AIH over the years. Notably, the interest in AIH has seen a consistent rise since 2017, marked by a growing number of use cases (25 reported here) developed by both local and foreign innovators and applicators. Despite this surge in research and adoption, Malaysia lacks direct legislation specifically addressing AIH technologies, leaving them subject to 11 existing laws. This lack of clear oversight is compounded by the insufficient expertise within local regulatory and ethical bodies to effectively assess AIH research and deployment. The resultant challenges include bureaucratic hurdles for AIH innovators and applicators, raising ethical concerns related to patient autonomy, privacy, data management, AI robustness, and liability. To address these issues, this paper recommends: (1) adopting international ethical guidelines for AIH, (2) enhancing public awareness and education on AI technologies, and (3) promoting AIH research through clinical or silent trials to improve oversight and foster innovation.
期刊介绍：
Asian Bioethics Review (ABR) is an international academic journal, based in Asia, providing a forum to express and exchange original ideas on all aspects of bioethics, especially those relevant to the region. Published quarterly, the journal seeks to promote collaborative research among scholars in Asia or with an interest in Asia, as well as multi-cultural and multi-disciplinary bioethical studies more generally. It will appeal to all working on bioethical issues in biomedicine, healthcare, caregiving and patient support, genetics, law and governance, health systems and policy, science studies and research. ABR provides analyses, perspectives and insights into new approaches in bioethics, recent changes in biomedical law and policy, developments in capacity building and professional training, and voices or essays from a student’s perspective. The journal includes articles, research studies, target articles, case evaluations and commentaries. It also publishes book reviews and correspondence to the editor. ABR welcomes original papers from all countries, particularly those that relate to Asia. ABR is the flagship publication of the Centre for Biomedical Ethics, Yong Loo Lin School of Medicine, National University of Singapore. The Centre for Biomedical Ethics is a collaborating centre on bioethics of the World Health Organization.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
