AI Misdiagnosis Tracker: When Machine Learning Gets Medicine Wrong

AI diagnostic systems deployed in clinical settings have produced documented misdiagnoses affecting patient treatment paths, insurance coverage, and medical records. This tracker catalogs confirmed cases where AI systems provided incorrect diagnoses that were either acted upon by clinicians or entered into patient records before correction. The scope of AI misdiagnosis extends across imaging analysis, symptom assessment, pathology review, and clinical decision support systems. In radiology, AI systems have both missed findings present on imaging and flagged false positives that led to unnecessary invasive procedures. In clinical decision support, AI recommendations have conflicted with evidence-based guidelines, leading to inappropriate treatment plans when clinicians deferred to the AI suggestion. The accountability gap is particularly concerning. When a human physician misdiagnoses a patient, malpractice law provides clear accountability frameworks. When an AI system contributes to a misdiagnosis, liability is diffused across the AI developer, the deploying institution, the supervising clinician, and potentially the EHR platform that integrated the AI. Patients harmed by AI-assisted misdiagnosis face a more complex legal landscape than traditional medical malpractice. Documenting AI involvement in clinical decisions is essential for patient safety and legal recourse. Patients should request that their medical records explicitly note when AI systems were used in diagnostic or treatment decisions. Several states have introduced legislation requiring AI use disclosure in clinical settings.

The ramifications of this incident extend beyond the immediate data exposure. Privacy regulators in multiple jurisdictions have opened investigations, and affected individuals are organizing collective action to demand accountability and meaningful remediation. The case highlights systemic weaknesses in how organizations handle personal data and the gap between corporate privacy promises and operational reality.

For impacted individuals, immediate action is critical. Filing a data subject access request forces the company to disclose exactly what data they hold about you, providing the foundation for deletion requests, regulatory complaints, and potential legal action. Below, we outline the specific data types at risk and the concrete steps you can take to protect yourself.