Patients Are Entitled to Moore: Determining the Relationship Between Phenotype, Genotype, Spleens, Data, and Informed Consent

The increasing use of Artificial Intelligence (AI) in healthcare has the potential to bring significant advancements in clinical decision-making, particularly through predictive analytics and large language models.The power of AI lies in its ability to discern patterns in medical images and patient data, ultimately aiding in diagnosis, treatment, and prognosis.This evolving technology, however, raises important ethical questions about the relationship between patients, their data, and AI models, particularly regarding the use of patient data for both therapeutic and non-therapeutic purposes.This article examines the ethical complexities surrounding the use of patient data in healthcare AI, arguing that patients should be viewed as both recipients of care and as donors when their data is used beyond their immediate therapeutic needs.Patients' dual roles-benefiting from AIdriven diagnostics and treatments while contributing their data to train and improve AI models-necessitates reevaluating informed consent protocols.By drawing parallels between human tissue and patient data, the article highlights that a patient's electronic medical record (EMR), which captures their lived medical experience (phenotype), is as much a part of them as their physical body (genotype).Borrowing from the ethical principles underlying human tissue donation, this article contends that patients must be informed and provide explicit consent when their data is used to develop or update AI models.Such consent ensures