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jama internal medicine logo
Source:
JAMA Internal Medicine
May 5, 2025

Chris Williams, Ben Rosner, et al publish in JAMA Internal Medicine - the study evaluated the quality and safety of discharge summary narratives generated by a large language model (GPT-4 Turbo) compared to those written by physicians for 100 inpatient hospital medicine encounters. Blinded reviews by hospitalists, PCPs, and SNF physicians assessed error rates, potential for harm, and overall quality.

poster session
Source:
UCSF School of Medicine
May 2, 2025

Collaboration is a driving force behind UCSF’s research mission – uniting experts across disciplines, institutions, and sectors to solve complex problems. This ethos is especially vital in artificial intelligence (AI), where responsible, effective innovation depends on deeply integrated approaches. So, it’s no surprise that cross-disciplinary collaboration took center stage at Research AI Day, a one-day event that showcased how UCSF researchers are using AI to advance discovery, clinical care, and population health. 

atul butte AI panel
Source:
UCSF
April 30, 2025

Pioneering bioinformatics expert and BCHSI founding director Atul Butte is elected to the American Academy of Arts and Sciences.

chart
Source:
JAMA Open Network
April 24, 2025

From Hong Lab - led by Chichi Chang, the team used natural language processing to evaluate symptoms experienced by >28k patients with cancer prior to emergency visits and hospitalizations.

travis zack
Source:
Health IT News
April 17, 2025

BCHSI affiliated faculty member Travis Zack shares how the implementation of AI in oncology workflows has led to measurable improvements in efficiency and decision making in oncology.

Atul Butte 10 Years at UCSF
Source:
UCSF BCHSI
April 1, 2025

Time flies! We are excited to announce that 2025 marks the year Atul Butte joined UCSF as faculty to lead the Bakar Computational Health Sciences Institute (BCHSI). Butte's contributions to the field of Precision Medicine, Computational Health, Data and Innovation extend beyond UCSF. A few years later, Butte became the first Chief Data Scientist for the University of California Health System (includes all five UC medical campuses).

BCHSI is an academic home for faculty, students, post-doctoral scholars, and staff at the University who employ computational methodologies and AI to address topics in health and wellness. BCHSI is home to 89 faculty representing each of the 4 schools at UCSF – Medicine, Nursing, Dentistry and Pharmacy. 

In collaboration with several key groups on campus, the BCHSI Research Computing team has developed a cutting-edge research platform – the UCSF Information Commons – that provides unparalleled access to all de-identified clinical data for exploratory and hypothesis-formation purposes without the need for an Institutional Review Board protocol. The Information Commons with over 500 users, has resulted in over 100 scientific publications and enabled numerous Real World Evidence projects in partnership with industry and academia. 

Thank you Dr. Butte for your incredible leadership and vision – you are an inspiration!

Matrix inversion and subset selection (MISS)
Source:
Nature Communications Biology
March 11, 2025

Justin Torok, Pedro Maia, Anand Chaitaili and Ashish Raj recent publish in Nature Communication Biology.

cell
Source:
Cell Reports
February 25, 2025

Latest publication in Cell by Grace Ramey, Marina Sirota, Alice Tang, et al. (Also related article here)

MRI
Source:
UCSF
February 7, 2025

Work featuring BCHSI affiliated faculty Reza Abbasi-Asl and Geoff Tison.

nejm ai
Source:
NEJM AI
January 23, 2025

Jean Feng,  Romain Pirracchio, et al publication.