Victoria Colliver on Muck Rack

Victoria Colliver

Oakland
As seen in: MSN, Yahoo News, POLITICO, POLITICO Playbook, SFGate, Sydney Morning Herald, Chron, Flipboard, Phys.org, Yahoo and
Writer. Californian. Media relations/comms @UCSF. Former POLITICO health care reporter, San Francisco Chronicle alum. victoria.colliver@ucsf.edu.
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Articles

A new AI framework that can help doctors build better tools

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By Victoria Colliver, Lisa Lock, Robert Egan Verified
| Medical Xpress Verified
The HACHI framework uses LLMs with humans-in-the-loop to build an elective clinical prediction model (CPM). Credit: npj Digital Medicine (2026). DOI: 10.1038/s41746-026-02838-5 Artificial intelligence can help predict a patient's risk for conditions such as sepsis, heart disease and cancer. But many of these tools fall short in real-life clinical practice because they are difficult for doctors to interpret and trust.
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Women with HIV Are More Likely to Die from Trauma than the Virus

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By Victoria Colliver
| University of California, San Francisco (UCSF)
Women with HIV most often die from preventable, trauma-related conditions like substance use and mental illness — not the virus itself. Yet, these leading causes are largely missing from official death records, according to new research by UC San Francisco. The study is the first to compare death certificates to the causes of death identified by doctors, nurses, social workers, and pharmacists who knew them well.
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How a New AI Framework Can Help Doctors Build Better Tools

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By Victoria Colliver
| University of California, San Francisco (UCSF)
Artificial intelligence can help predict a patient’s risk for conditions such as sepsis, heart disease, and cancer. But many of these tools fall short in real-life clinical practice because they are difficult for doctors to interpret and trust. Researchers at UC San Francisco have developed a new way to use AI to build clinical prediction tools that combines the speed of artificial intelligence with the judgment of human experts.
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