







Medical algorithms routinely make decisions about patients’ health care, yet they are rife with bias. Health equity must be built into the development and deployment of these health algorithms.
Preparing Physicians for the Clinical Algorithm Era
The U.S. government recently took steps to ensure that clinical decision support algorithms are safe for clinical use. The next and larger step will be teaching physicians how to use the algorithms ...

Preparing Physicians for the Clinical Algorithm Era
The U.S. government recently took steps to ensure that clinical decision support algorithms are safe for clinical use. The next and larger step will be teaching physicians how to use the algorithms ...

How AI For Women’s Health Is Being Built Differently
Healthcare AI mirrors decades of gender bias. Women-led startups are rebuilding it to reduce misdiagnosis, dismissal, and fragmented care.

Why Doctors Hate Their Computers
Digitization promises to make medical care easier and more efficient. But are screens coming between doctors and patients?

AI linked to explosion of low-quality biomedical research papers
Analysis flags hundreds of studies that seem to follow a template, reporting correlations between complex health conditions and single variables based on publicly available data sets.

The algorithm will see you now - Works in Progress Magazine
Radiology combines digital images, clear benchmarks, and repeatable tasks. But replacing humans with AI is harder than it seems.

Meta’s New AI Asked for My Raw Health Data—and Gave Me Terrible Advice
Meta’s Muse Spark model offers to analyze users’ health data, including lab results. Beyond the obvious privacy risks, it’s not a capable stand-in for a real doctor.

The Medium is the Message: How Non-Clinical Information Shapes Clinical Decisions in LLMs | Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency
There has been a growing interest in the HCI community to study Health, with particular focus in understanding healthcare practices and designing technologies to support and to enhance these practices. A majority of current health studies in HCI have ...

Implementation Science for AI Integration in Digital Health Systems
We systematically reviewed studies of implementation science frameworks used for healthcare AI deployment (2020-2026). Following PRISMA 2020, we searched MEDLINE, Embase, Web of Science, and Scopus and included 87 empirical studies. CFIR was most common (42.5%), followed by RE-AIM (28.7%) and EPIS (18.4%). The most frequent barriers were data infrastructure limitations (67.8%), clinician trust deficits (58.6%), and regulatory uncertainty (52.9%). Implementation success was associated with organizational readiness (r=0.64, p
Company Offering ‘100% Human-Written, Never AI’ Medical Research Is Entirely AI
Research Gold's team of human methodologists are either AI generated or using the identity of real people without their permission
ChatGPT Health and what AI can do for a broken system
Healthcare isn’t working for patients or doctors, but AI tools can help.

Using AI to help physicians diagnose rare genetic diseases affecting children
Researchers used an OpenAI reasoning model to help diagnose rare diseases, identifying 18 new diagnoses in previously unsolved cases.

UnitedHealth pushed employees to follow an algorithm to cut off Medicare patients' rehab care
UnitedHealth executives pressured clinical staff to follow an algorithm to cut off patients’ rehab care, leading to coverage decisions that may violate Medicare regulations.

Doctor forced to apologise after AI makes 'scary' error about illegal drugs
Artificial Intelligence is listening to many people's medical appointments, but it is not always hearing things correctly.
UnitedHealth uses AI model with 90% error rate to deny care, lawsuit alleges
For the largest health insurer in the US, AI's error rate is like a feature, not a bug.

Civic Health Project
Technology can connect or divide us. At Civic Health Project, we're dedicated to advancing massively scalable solutions to society's dangerous divisions.