2025
Cybersecurity Threats and Mitigation Strategies for Large Language Models in Health Care.
Akinci D'Antonoli T, Tejani A, Khosravi B, Bluethgen C, Busch F, Bressem K, Adams L, Moassefi M, Faghani S, Gichoya J. Cybersecurity Threats and Mitigation Strategies for Large Language Models in Health Care. Radiology Artificial Intelligence 2025, 7: e240739. PMID: 40366259, DOI: 10.1148/ryai.240739.Peer-Reviewed Original ResearchConceptsMalicious actorsLanguage modelArtificial intelligenceRobust security measuresSensitive patient informationProtect patient privacyMalicious attacksUnauthorized manipulationCybersecurity challengesPrivacy breachesCybersecurity threatsCybersecurity risksTraining dataSecurity measuresDeployment stageAI modelsPatient privacyPoisoning dataCybersecurityPrivacyHealth carePatient informationPatient dataImprove medical practiceLanguage
2016
Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States
Wang S, Jiang X, Singh S, Marmor R, Bonomi L, Fox D, Dow M, Ohno‐Machado L. Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States. Annals Of The New York Academy Of Sciences 2016, 1387: 73-83. PMID: 27681358, PMCID: PMC5266631, DOI: 10.1111/nyas.13259.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsData privacySensitive individual informationComputer science communityReal-world problemsUnauthorized partiesHuman genomic dataPrivacy breachesData accessData sharingData accessibilityConfidentiality protectionGenomic dataSpectrum of techniquesIndividual informationPrivacyScience communityPhenotype informationTechnical approachPotential solutionsCurrent common practiceBiomedical researchResearch purposesConfidentialityInformationSharing
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