Harnessing the Power of Generative Artificial Intelligence in Pathology Education: Opportunities, Challenges, and Future Directions.
* Context.--Generative artificial intelligence (AI) technologies are rapidly transforming numerous fields, including pathology, and hold significant potential to revolutionize educational approaches. Objective.--To explore the application of generative AI, particularly large language models and mult...
| Publicado en: | Archives of Pathology & Laboratory Medicine Vol. 149; no. 2; pp. 142 - 152 |
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| Autores principales: | , , , , , , , , , |
| Formato: | pictorial review tables/charts Journal Article |
| Publicado: |
College of American Pathologists
Feb2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=182777044&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 182777044 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00039985 1FS jtl: Archives of Pathology & Laboratory Medicine issn: 00039985 maglogo: N pubinfo: dt: Feb2025 vid: 149 iid: 2 pid: 2550 pub: College of American Pathologists place: Northfield, Illinois artinfo: ui: 182777044 182777044 182777044 10.5858/arpa.2024-0187-RA 182777044 ppf: 142 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Harnessing the Power of Generative Artificial Intelligence in Pathology Education: Opportunities, Challenges, and Future Directions. aug: au: Cecchini, Matthew J. Borowitz, Michael J. Glassy, Eric F. Gullapalli, Rama R. Hart, Steven N. Hassell, Lewis A. Homer, Robert J. Jackups Jr., Ronald McNeal, Jeffrey L. Anderson, Scott R. affil: Department of Pathology and Laboratory Medicine, Western University and London Health Sciences Centre, London, Ontario, Canada sug: subj: Pathology Education Artificial Intelligence, Generative Utilization Natural Language Processing Educational Technology Learning Methods Learning Environment Artificial Intelligence, Generative Ethical Issues Education, Medical Content Analysis Curriculum Development Access to Information ab: * Context.--Generative artificial intelligence (AI) technologies are rapidly transforming numerous fields, including pathology, and hold significant potential to revolutionize educational approaches. Objective.--To explore the application of generative AI, particularly large language models and multimodal tools, for enhancing pathology education. We describe their potential to create personalized learning experiences, streamline content development, expand access to educational resources, and support both learners and educators throughout the training and practice continuum. Data Sources.--We draw on insights from existing literature on AI in education and the collective expertise of the coauthors within this rapidly evolving field. Case studies highlight practical applications of large language models, demonstrating both the potential benefits and unique challenges associated with implementing these technologies in pathology education. Conclusions.--Generative AI presents a powerful tool kit for enriching pathology education, offering opportunities for greater engagement, accessibility, and personalization. Careful consideration of ethical implications, potential risks, and appropriate mitigation strategies is essential for the responsible and effective integration of these technologies. Future success lies in fostering collaborative development between AI experts and medical educators, prioritizing ongoing human oversight and transparency to ensure that generative AI augments, rather than supplants, the vital role of educators in pathology training and practice. pubtype: Academic Journal doctype: pictorial review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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