LLMs and Their Applications in Medical Artificial Intelligence

LLMs and Their Applications in Medical Artificial Intelligence

Medical artificial intelligence (AI) is a cross-disciplinary field focused on developing advanced computing and AI technologies to benefit medicine and healthcare. Globally, medical AI has tremendous potential to support the United Nations’ sustainable development goals pertaining to health and well...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:ACM transactions on management information systems 2025-01
Hauptverfasser: Mao, Wenji, Qiu, Xipeng, Abbasi, Ahmed
Format: Artikel
Sprache:eng
Schlagworte:
Do Not Use This Code, Generate the Correct Terms for Your Paper
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title ACM transactions on management information systems
container_volume
creator Mao, Wenji
Qiu, Xipeng
Abbasi, Ahmed
description Medical artificial intelligence (AI) is a cross-disciplinary field focused on developing advanced computing and AI technologies to benefit medicine and healthcare. Globally, medical AI has tremendous potential to support the United Nations’ sustainable development goals pertaining to health and well-being. In particular, large language models (LLMs) afford opportunities for positively disrupting medical AI-related research and practice. We present a research framework for LLMs in medical AI. Our framework considers the interplay between health and well-being goals, disease lifecycle stages, and the important emerging role of LLMs in medical AI processes related to various lifecycle stages. As part of our framework, we describe the LLM multiplex - important multimodal, multi-model, multicultural, and multi-responsibility considerations for LLMs in medical AI. We discuss how the five articles in the special issue relate to this framework and are helping us learn about the opportunities and challenges for LLMs in medical AI.
doi_str_mv 10.1145/3711837
format Article
fullrecord <record><control><sourceid>acm_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1145_3711837</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3711837</sourcerecordid><originalsourceid>FETCH-LOGICAL-a517-e58f2c206fd5f1c070d1664ffd5eb924763849b99b92da4436c0d859bf3f47ee3</originalsourceid><addsrcrecordid>eNo9j0tLw0AUhQexYKmle1ezcxWd92MjhOKjkOImC3dhMg8dSdMwk43_3pHWXi7cc7gfBw4AG4weMGb8kUqMFZVXYEkwV5XgUl1ftPi4Aeucv1EZponGcgmemmafoRkdbL98TLCepiFaM8fjmGEc4d67YgdYpzmGaGORu3H2wxA__Wj9LVgEM2S_Pt8VaF-e2-1b1by_7rZ1UxmOZeW5CsQSJILjAVskkcNCsFCs7zVhUlDFdK_LEmcYo8Iip7juAw1Mek9X4P4Ua9Mx5-RDN6V4MOmnw6j7K96dixfy7kQae7hA_89fB0RRXQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>LLMs and Their Applications in Medical Artificial Intelligence</title><source>ACM Digital Library Complete</source><creator>Mao, Wenji ; Qiu, Xipeng ; Abbasi, Ahmed</creator><creatorcontrib>Mao, Wenji ; Qiu, Xipeng ; Abbasi, Ahmed</creatorcontrib><description>Medical artificial intelligence (AI) is a cross-disciplinary field focused on developing advanced computing and AI technologies to benefit medicine and healthcare. Globally, medical AI has tremendous potential to support the United Nations’ sustainable development goals pertaining to health and well-being. In particular, large language models (LLMs) afford opportunities for positively disrupting medical AI-related research and practice. We present a research framework for LLMs in medical AI. Our framework considers the interplay between health and well-being goals, disease lifecycle stages, and the important emerging role of LLMs in medical AI processes related to various lifecycle stages. As part of our framework, we describe the LLM multiplex - important multimodal, multi-model, multicultural, and multi-responsibility considerations for LLMs in medical AI. We discuss how the five articles in the special issue relate to this framework and are helping us learn about the opportunities and challenges for LLMs in medical AI.</description><identifier>ISSN: 2158-656X</identifier><identifier>EISSN: 2158-6578</identifier><identifier>DOI: 10.1145/3711837</identifier><language>eng</language><publisher>New York, NY: ACM</publisher><subject>Do Not Use This Code, Generate the Correct Terms for Your Paper</subject><ispartof>ACM transactions on management information systems, 2025-01</ispartof><rights>Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-a517-e58f2c206fd5f1c070d1664ffd5eb924763849b99b92da4436c0d859bf3f47ee3</cites><orcidid>0000-0001-7163-5247 ; 0000-0001-7698-7794 ; 0000-0003-2323-5091</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Mao, Wenji</creatorcontrib><creatorcontrib>Qiu, Xipeng</creatorcontrib><creatorcontrib>Abbasi, Ahmed</creatorcontrib><title>LLMs and Their Applications in Medical Artificial Intelligence</title><title>ACM transactions on management information systems</title><addtitle>ACM TMIS</addtitle><description>Medical artificial intelligence (AI) is a cross-disciplinary field focused on developing advanced computing and AI technologies to benefit medicine and healthcare. Globally, medical AI has tremendous potential to support the United Nations’ sustainable development goals pertaining to health and well-being. In particular, large language models (LLMs) afford opportunities for positively disrupting medical AI-related research and practice. We present a research framework for LLMs in medical AI. Our framework considers the interplay between health and well-being goals, disease lifecycle stages, and the important emerging role of LLMs in medical AI processes related to various lifecycle stages. As part of our framework, we describe the LLM multiplex - important multimodal, multi-model, multicultural, and multi-responsibility considerations for LLMs in medical AI. We discuss how the five articles in the special issue relate to this framework and are helping us learn about the opportunities and challenges for LLMs in medical AI.</description><subject>Do Not Use This Code, Generate the Correct Terms for Your Paper</subject><issn>2158-656X</issn><issn>2158-6578</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2025</creationdate><recordtype>article</recordtype><recordid>eNo9j0tLw0AUhQexYKmle1ezcxWd92MjhOKjkOImC3dhMg8dSdMwk43_3pHWXi7cc7gfBw4AG4weMGb8kUqMFZVXYEkwV5XgUl1ftPi4Aeucv1EZponGcgmemmafoRkdbL98TLCepiFaM8fjmGEc4d67YgdYpzmGaGORu3H2wxA__Wj9LVgEM2S_Pt8VaF-e2-1b1by_7rZ1UxmOZeW5CsQSJILjAVskkcNCsFCs7zVhUlDFdK_LEmcYo8Iip7juAw1Mek9X4P4Ua9Mx5-RDN6V4MOmnw6j7K96dixfy7kQae7hA_89fB0RRXQ</recordid><startdate>20250109</startdate><enddate>20250109</enddate><creator>Mao, Wenji</creator><creator>Qiu, Xipeng</creator><creator>Abbasi, Ahmed</creator><general>ACM</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0001-7163-5247</orcidid><orcidid>https://orcid.org/0000-0001-7698-7794</orcidid><orcidid>https://orcid.org/0000-0003-2323-5091</orcidid></search><sort><creationdate>20250109</creationdate><title>LLMs and Their Applications in Medical Artificial Intelligence</title><author>Mao, Wenji ; Qiu, Xipeng ; Abbasi, Ahmed</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a517-e58f2c206fd5f1c070d1664ffd5eb924763849b99b92da4436c0d859bf3f47ee3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2025</creationdate><topic>Do Not Use This Code, Generate the Correct Terms for Your Paper</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mao, Wenji</creatorcontrib><creatorcontrib>Qiu, Xipeng</creatorcontrib><creatorcontrib>Abbasi, Ahmed</creatorcontrib><collection>CrossRef</collection><jtitle>ACM transactions on management information systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mao, Wenji</au><au>Qiu, Xipeng</au><au>Abbasi, Ahmed</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>LLMs and Their Applications in Medical Artificial Intelligence</atitle><jtitle>ACM transactions on management information systems</jtitle><stitle>ACM TMIS</stitle><date>2025-01-09</date><risdate>2025</risdate><issn>2158-656X</issn><eissn>2158-6578</eissn><abstract>Medical artificial intelligence (AI) is a cross-disciplinary field focused on developing advanced computing and AI technologies to benefit medicine and healthcare. Globally, medical AI has tremendous potential to support the United Nations’ sustainable development goals pertaining to health and well-being. In particular, large language models (LLMs) afford opportunities for positively disrupting medical AI-related research and practice. We present a research framework for LLMs in medical AI. Our framework considers the interplay between health and well-being goals, disease lifecycle stages, and the important emerging role of LLMs in medical AI processes related to various lifecycle stages. As part of our framework, we describe the LLM multiplex - important multimodal, multi-model, multicultural, and multi-responsibility considerations for LLMs in medical AI. We discuss how the five articles in the special issue relate to this framework and are helping us learn about the opportunities and challenges for LLMs in medical AI.</abstract><cop>New York, NY</cop><pub>ACM</pub><doi>10.1145/3711837</doi><orcidid>https://orcid.org/0000-0001-7163-5247</orcidid><orcidid>https://orcid.org/0000-0001-7698-7794</orcidid><orcidid>https://orcid.org/0000-0003-2323-5091</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2158-656X
ispartof ACM transactions on management information systems, 2025-01
issn 2158-656X
2158-6578
language eng
recordid cdi_crossref_primary_10_1145_3711837
source ACM Digital Library Complete
subjects Do Not Use This Code, Generate the Correct Terms for Your Paper
title LLMs and Their Applications in Medical Artificial Intelligence
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T15%3A32%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-acm_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=LLMs%20and%20Their%20Applications%20in%20Medical%20Artificial%20Intelligence&rft.jtitle=ACM%20transactions%20on%20management%20information%20systems&rft.au=Mao,%20Wenji&rft.date=2025-01-09&rft.issn=2158-656X&rft.eissn=2158-6578&rft_id=info:doi/10.1145/3711837&rft_dat=%3Cacm_cross%3E3711837%3C/acm_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true