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Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

February 1, 2026February 1, 2026
Weekly Roundup – January 31, 2026

Weekly Roundup – January 31, 2026

January 31, 2026February 1, 2026
Embedding clinical intelligence to help close care gaps

Embedding clinical intelligence to help close care gaps

January 31, 2026January 31, 2026
Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

January 31, 2026January 31, 2026
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Tag: UCSF

Voio Emerges from Stealth with $8.6M to Launch World’s Most Accurate Medical Imaging Model

Voio Emerges from Stealth with $8.6M to Launch World’s Most Accurate Medical Imaging Model

November 24, 2025November 25, 2025HIT Consultant

What You Should Know:

Voio, a frontier AI lab spun out of UC Berkeley and UCSF, has secured $8.6M in seed funding led by Laude Ventures and The House Fund to launch a unified reading…

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Marc and Lynne Benioff, Salesforce Donate $100M to UCSF Children’s Hospitals

Marc and Lynne Benioff, Salesforce Donate $100M to UCSF Children’s Hospitals

October 13, 2025October 14, 2025HIT Consultant

What You Should Know: 

– Marc and Lynne Benioff, alongside Salesforce, an AI CRM, today announced a massive philanthropic commitment to the Bay Area community. 

– The Benioffs are donating $100M to UCSF Benioff Children’s Hospitals…

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Large language model trained on clinical oncology data predicts cancer progression

Large language model trained on clinical oncology data predicts cancer progression

July 2, 2025July 2, 2025npj Digital Medicine

Subspecialty knowledge barriers have limited the adoption of large language models (LLMs) in oncology. We introduce Woollie, an open-source, oncology-specific LLM trained on real-world data from Memorial Sloan Kettering Cancer Center (MSK) across lung,…

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Monday Morning Update 6/16/25

Monday Morning Update 6/16/25

June 16, 2025June 16, 2025HIStalk

Top News

UCSF professor and University of California Health System chief data scientist Atul Butte, MD, PhD died Friday. He was 55.
Butte held the Priscilla Chan and Mark Zuckerberg Distinguished Professorship of pediatrics, bioengineering…

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Understanding contraceptive switching rationales from real world clinical notes using large language models

Understanding contraceptive switching rationales from real world clinical notes using large language models

April 24, 2025npj Digital Medicine

Understanding reasons for treatment switching is of significant medical interest, but these factors are often only found in unstructured clinical notes and can be difficult to extract. We evaluated the zero-shot abilities of GPT-4…

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UCSF creates a powerhouse AI system that boosts oncology care

UCSF creates a powerhouse AI system that boosts oncology care

April 7, 2025Healthcare IT news

The complexity of cancer care has significantly increased over the years. What were once considered single diseases are now divided into numerous subtypes, each requiring distinct treatment plans based on evolving clinical guidelines.THE CHALLENGE
This…

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Study: Brain-computer interface allows paralyzed man to control robotic arm

Study: Brain-computer interface allows paralyzed man to control robotic arm

March 17, 2025MobiHealthNews

Implantation of a brain-computer interface (BCI) into tetraplegic participants allowed for consistent control of a robotic arm and hand for reaching and grasping, according to a study performed at the University of California San…

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Interpretable multimodal transformer for prediction of molecular subtypes and grades in adult-type diffuse gliomas

Interpretable multimodal transformer for prediction of molecular subtypes and grades in adult-type diffuse gliomas

March 5, 2025May 18, 2025npj Digital Medicine

Molecular subtyping and grading of adult-type diffuse gliomas are essential for treatment decisions and patient prognosis. We introduce GlioMT, an interpretable multimodal transformer that integrates imaging and clinical data to predict the molecular subtype…

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GE HealthCare, UCSF Partner for Precision Medicine

GE HealthCare, UCSF Partner for Precision Medicine

January 29, 2025January 29, 2025DistilINFO Hospital IT

Revolutionary Healthcare Partnership Announced
GE HealthCare Technologies Inc. and the University of California San Francisco’s Department of Radiology and Biomedical Imaging have joined forces in a landmark partnership focusing on advanced imaging and precision oncology…

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UCSF and GE Healthcare launch Care Innovation Hub

UCSF and GE Healthcare launch Care Innovation Hub

January 21, 2025January 21, 2025Healthcare IT news

GE HealthCare Technologies Inc. and the University of California San Francisco and its Department of Radiology and Biomedical Imaging have formed a new partnership to collaborate on advanced imaging and precision oncology, the company…

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The physical space of the hospital will be gradually digitized until virtually every object and sensor becomes part of the so-called 'Internet of Things.' These innovations can broadly be categorized as either clinical or experiential, though some will be both. Clinical innovations will involve gathering ever more "signals" from the patient (infrared, sound, electrophysiology, pulse-oximeter, facial expression, etc.) to be sifted in real time through machine-learning algorithms that will help physicians refine their understanding of diagnosis and prognosis in ways we can only imagine today. Experiential innovations will allow health systems and their partners to take a page from Netflix, using the engagement opportunity of the acute care episode to stream digital content to patients and families through TVs, tablets and their own devices from home.

Daniel Durand

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