A Closer Look at FDA’s Newly Released AI/ML Action Plan
FDA’s new Action Plan takes steps toward establishing a dedicated regulatory strategy for AI products intended as software as a medical device.
Artificial Intelligence
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Read more: Computational Psychiatry for Precision Sentencing in Criminal Law Computational Psychiatry for Precision Sentencing in Criminal Law
Deep phenotyping offers the criminal justice system the tools to improve public safety, identify low-risk offenders, and reduce recidivism.
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Read more: Deep Phenotyping Could Help Solve the Mental Health Care Crisis Deep Phenotyping Could Help Solve the Mental Health Care Crisis
While moving too quickly with new technologies carries ethical and societal risks, moving too slowly could leave vulnerable people behind.
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Read more: Incidental Findings in Deep Phenotyping Research: Legal and Ethical Considerations Incidental Findings in Deep Phenotyping Research: Legal and Ethical Considerations
What obligations do researchers have to disclose potentially life-altering incidental findings as they happen in real time?
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Read more: Unique Challenges to Informed Consent in Deep Phenotyping Research Unique Challenges to Informed Consent in Deep Phenotyping Research
Obtaining voluntary competent informed consent is a critical aspect to conducting ethical deep phenotyping research.
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Read more: Lessons Learned from Deep Phenotyping Patients with Rare Psychiatric Disorders Lessons Learned from Deep Phenotyping Patients with Rare Psychiatric Disorders
It is important to respect the wishes of the various parties involved when describing patients with potentially stigmatizing diagnoses.
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Read more: “Actionability” and the Ethics of Communicating Results to Study Participants “Actionability” and the Ethics of Communicating Results to Study Participants
What data may be considered “actionable” for the physician to disclose to the patient, and how might this be done?
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Read more: Data Talking to Machines: The Intersection of Deep Phenotyping and Artificial Intelligence Data Talking to Machines: The Intersection of Deep Phenotyping and Artificial Intelligence
Researchers will need to consider when it is appropriate to leverage AI, versus when a human touch is needed.
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Read more: Bias, Fairness, and Deep Phenotyping Bias, Fairness, and Deep Phenotyping
Researchers must carefully consider how different datasets used to train algorithms present issues regarding bias and diversity.
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Read more: Symposium Introduction: Ethical, Legal, and Social Implications of Deep Phenotyping Symposium Introduction: Ethical, Legal, and Social Implications of Deep Phenotyping
This digital symposium explores the ethical, legal, and social implications of advances in deep phenotyping in psychiatry research.
