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Nathasha Luke

Biographic Data

ID9556484
NAMENathasha Luke
GIVEN NAMESNathasha
FAMILY NAMELuke
SIGNATURELUKE N
AFFILIATIONSNational University of Singapore
ORCID0000-0002-0911-216X
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Re-imagining discharge summary training through artificial intelligence

    Chun En Chua, Isaac K S Ng et al.•ARTICLE•Medical Teacher•2026

    Discharge summary (DS) writing is a core competency for junior physicians, yet persistent deficiencies in the quality, accuracy, and timeliness of these clinical documents are well-documented, with downstream repercussions in patient safety and continuity of care. Existing educational interventions rely heavily on faculty-intensive, small-group teaching models, which limits scalability and long-term sustainability. There is therefore a need to de…

  • The role of artificial intelligence in knowledge management for medical students and doctors

    Nathasha Luke, Shing Chuan Hooi•ARTICLE•Medical Teacher•2025

    The skill of knowledge management empowers practitioners to efficiently integrate and apply knowledge in the clinical context. Current medical knowledge is vast which is beyond the human capacity to retain. Hence, modern-day learning is not just knowledge acquisition, but the organization of knowledge in a retrievable manner. Advancing technology in digital learning spaces and artificial intelligence enables the development of personalized knowle…

  • Is ChatGPT ‘ready’ to be a learning tool for medical undergraduates and will it perform equally in different subjects? Comparative study of ChatGPT performance in tutorial and case-based learning ques…

    Nathasha Luke, Lee Seow Chong et al.•ARTICLE•Medical Teacher•2024

    PURPOSE: Generative AI will become an integral part of education in future. The potential of this technology in different disciplines should be identified to promote effective adoption. This study evaluated the performance of ChatGPT in tutorial and case-based learning questions in physiology and biochemistry for medical undergraduates. Our study mainly focused on the performance of GPT-3.5 version while a subgroup was comparatively assessed on G…

No prominent works on this page.

  • Is ChatGPT ‘ready’ to be a learning tool for medical undergraduates and will it perform equally in different subjects? Comparative study of ChatGPT performance in tutorial and case-based learning ques…

    Nathasha Luke, Lee Seow Chong et al.•ARTICLE•Medical Teacher•2024

    PURPOSE: Generative AI will become an integral part of education in future. The potential of this technology in different disciplines should be identified to promote effective adoption. This study evaluated the performance of ChatGPT in tutorial and case-based learning questions in physiology and biochemistry for medical undergraduates. Our study mainly focused on the performance of GPT-3.5 version while a subgroup was comparatively assessed on G…

  • The role of artificial intelligence in knowledge management for medical students and doctors

    Nathasha Luke, Shing Chuan Hooi•ARTICLE•Medical Teacher•2025

    The skill of knowledge management empowers practitioners to efficiently integrate and apply knowledge in the clinical context. Current medical knowledge is vast which is beyond the human capacity to retain. Hence, modern-day learning is not just knowledge acquisition, but the organization of knowledge in a retrievable manner. Advancing technology in digital learning spaces and artificial intelligence enables the development of personalized knowle…

  • Re-imagining discharge summary training through artificial intelligence

    Chun En Chua, Isaac K S Ng et al.•ARTICLE•Medical Teacher•2026

    Discharge summary (DS) writing is a core competency for junior physicians, yet persistent deficiencies in the quality, accuracy, and timeliness of these clinical documents are well-documented, with downstream repercussions in patient safety and continuity of care. Existing educational interventions rely heavily on faculty-intensive, small-group teaching models, which limits scalability and long-term sustainability. There is therefore a need to de…

Artificial Intelligence in Healthcare and Education (3 works) · Computer Science (2 works) · Medical education (2 works) · Medicine (2 works) · AI in Service Interactions (1 work) · Biomedical and Engineering Education (1 work) · Clinical Reasoning and Diagnostic Skills (1 work) · Cohort (1 work) · Cohort study (1 work) · Context (archaeology) (1 work)

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