Positions
- Assistant Professor
-
Center for Medical Ethics and Health Policy
Baylor College of Medicine
Houston, TX US
Professional Interests
- Ethics of Artificial Intelligence and Machine Learning in Healthcare
- Neuroethics and ethics of emerging bio/neurotechnologies
- Computational bioethics, data governance and blockchain
- Medical anthropology, cultural and psychosocial factors influencing health
Professional Statement
Kristin Kostick-Quenet is a bioethicist and medical anthropologist whose research focuses on ethical, social and cultural factors related to emerging bio- and neurotechnologies and the use of artificial intelligence (AI) and machine learning (ML) applications in healthcare. Her current research focuses on ethical translation of computer perception technologies, including digital phenotyping and computational affective/behavioral analysis into clinical care. Other recent publications address ethical issues related to integrating AI/ML into clinical decision making, closed-loop technologies in deep brain stimulation, and computational ethics (e.g. blockchain) approaches to consent, data governance and privacy. She has also published on topics ranging from ethical design of AI/ML user systems and interfaces, communicating AI/ML-based personalized diagnostics and risk, return of results in psychiatric genetics research, ethical issues in disorders of consciousness, and ethical/practical considerations for implementing decision aids (particularly for Left Ventricular Assist Device therapy for heart failure) and other clinical interventions into real-world clinical contexts, including global health settings.Selected Publications
- Kostick-Quenet, K., Compagnucci, M.C., Aboy, M., & Minssen, T "Patient-centric federated learning: automating meaningful consent to health data sharing with smart contracts." J Law Biosci .. 2025 Apr 30;12(1) Pubmed PMID: 40321304
- Kostick-Quenet, K "A caution against customized AI in healthcare." NPJ Digit Med. 2025 Jan 7;8(1):13. Pubmed PMID: 39774331
- Hurley, M. E., Lang, B. H., Kostick-Quenet, K. M., Smith, J. N., & Blumenthal-Barby, J "Patient Consent and The Right to Notice and Explanation of AI Systems Used in Health Care." Am J Bioeth. 2025 Mar;25(3):102-114. Pubmed PMID: 39288291
- Sonig, A., Deeney, C., Hurley, M.E., Kostick-Quenet, K et al. "What patients and caregivers want to know when consenting to the use of digital behavioral markers." NPP—Digital Psychiatry and Neuroscience. 2024 Dec 6;
- Sonig, A., Deeney, C., Hurley, M., Kostick-Quenet, K et al "Ethical concerns of using computer perception technologies among pediatric patients." AI Ethics. 2024 Sep 10;5:3593-3607.
- Kostick-Quenet, K., Estep, J., & Blumenthal-Barby, J. S "Ethical Concerns for Remote Computer Perception in Cardiology: New Stages for Digital Health Technologies, Artificial Intelligence, and Machine Learning." Ahahournals. 2024 May 21;17(5)
- Kostick-Quenet K, Lang B, Smith J, Hurley M, and Blumenthal-Barby JS. "Trust criteria for artificial intelligence in health: normative and epistemic considerations." J Med Ethics. 2024 Jul 23;50(8):544-551. Pubmed PMID: 37979976
- Kostick-Quenet K., Kalwani L, Torgerson L, Munoz K, Sanchez C, Storch E, Blumenthal-Barby JS, Lazáro-Muñoz G "Deep Brain Stimulation for Pediatric Dystonia: Clinicians' Perspectives on the Most Pressing Ethical Challenges." Stereotact Funct Neurosurg. 2023;101(5):301-313. Pubmed PMID: 37844562
- Rahimzadeh, V., Kostick-Quenet, K., Blumenthal Barby, J., & McGuire, A. L "Ethics Education for Healthcare Professionals in the Era of ChatGPT and Other Large Language Models: Do We Still Need It?." The American Journal of Bioethics. 2023 Oct;23(10):17-27. Pubmed PMID: 37487184
- "AI in the hands of imperfect users." NPJ Digit Med. 2022 Dec 28;5(1):197. Pubmed PMID: 36577851
- Kostick-Quenet, K, Mandl, K., Minssen, T., Cohen, G., Gasser, U., Kohane, I., McGuire, A "How NFTs could transform health information exchange." Science. 2022 Feb 4;375(6580):500-502. Pubmed PMID: 35113709
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