AI in Digital Health: Autonomy, Governance, and Privacy
What impact will AI systems have on biomedical research, especially in the context of large-scale data sharing and confidentiality?
Artificial Intelligence
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Read more: Mitigating Bias in Direct-to-Consumer Health Apps Mitigating Bias in Direct-to-Consumer Health Apps
How can we mitigate biases in AI-based health care? And how can we ensure that AI improves health care, rather than augmenting existing disparities?
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Read more: Building Trust Through Transparency? FDA Regulation of AI/ML-Based Software Building Trust Through Transparency? FDA Regulation of AI/ML-Based Software
Individual algorithm explanations will likely do little to build trust among health care AI users.
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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: Health Care AI in Pandemic Times Health Care AI in Pandemic Times
The rapid deployment of COVID-19 predictive models may have a lasting impact on the oversight of health care AI.
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Read more: AI’s Legitimate Interest: Video Preview with Charlotte Tschider AI’s Legitimate Interest: Video Preview with Charlotte Tschider
Charlotte Tschider gives a preview of her paper, “AI’s Legitimate Interest: Towards a Public Benefit Privacy Model.”
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Read more: Insufficient Protections for Health Data Privacy: Lessons from Dinerstein v. Google Insufficient Protections for Health Data Privacy: Lessons from Dinerstein v. Google
Dinerstein v. Google demonstrates gaps in HIPAA protections and the difficulty of pursuing claims against hospitals that share patient data with tech.
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Read more: Is Data Sharing Caring Enough About Patient Privacy? Part II: Potential Impact on US Data Sharing Regulations Is Data Sharing Caring Enough About Patient Privacy? Part II: Potential Impact on US Data Sharing Regulations
A recent US lawsuit highlights crucial challenges at the interface of data utility, patient privacy & data misuse By Timo Minssen (CeBIL, UCPH), Sara Gerke & Carmel Shachar Earlier, we discussed the new suit filed against Google, the University of Chicago (UC), and UChicago Medicine, focusing on the disclosure of patient data from UC to…
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Read more: Is Data Sharing Caring Enough About Patient Privacy? Part I: The Background Is Data Sharing Caring Enough About Patient Privacy? Part I: The Background
By Timo Minssen (CeBIL, UCPH), Sara Gerke & Carmel Shachar A recent US lawsuit highlights crucial challenges at the interface of data utility, patient privacy & data misuse The huge prospects of artificial intelligence and machine learning (ML), as well as the increasing trend toward public-private partnerships in biomedical innovation, stress the importance of an effective…
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Read more: Artificial Intelligence for Suicide Prediction Artificial Intelligence for Suicide Prediction
Suicide is a global problem that causes 800,000 deaths per year worldwide. In the United States, suicide rates rose by 25 percent in the past two decades, and suicide now kills 45,000 Americans each year, which is more than auto accidents or homicides. Traditional methods of predicting suicide, such as questionnaires administered by doctors, are…
