UCSF Center for Intelligent Imaging
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ucsfci2.bsky.social
UCSF Center for Intelligent Imaging
@ucsfci2.bsky.social
The Center for Intelligent Imaging (Ci2) is focused on applications of artificial intelligence and image analysis tools in medical imaging.
New @ucsfci2.bsky.social blog ➡️ "Finetuned LLMs Create Research Databases."
Finetuned LLMs Create Research Databases | intelligent imaging
University of California San Francisco
bit.ly
December 15, 2025 at 11:10 PM
Dr. Andreas Rauschecker & collaborators compared their three-network framework to synthesis infant brain MRI to prior approaches that used generative adversarial network, a #GenerativeAI architecture where two neural networks compete.
Completing the Baby Album: AI Synthesizing Infant Brain MRI for Missing Time PointsRadiology: Artificial Intelligence
doi.org
December 15, 2025 at 5:10 PM
During the December SRG Pillar Meeting, Dr. Laurens Topff of @nkinl.bsky.social joined @ucsfci2.bsky.social to discuss the building of deployable #BrainMetastasis with #AI.

Visit bit.ly/4aekyzI to read the recap!
Building Deployable Brain Metastasis with AI | intelligent imaging
University of California San Francisco
bit.ly
December 13, 2025 at 12:30 AM
The Chen Institute empowers the pursuit of scientific discovery & those dedicated to making a profound impact in their chosen field of study.

@ucsfci2.bsky.social's Dr. Andreas Rauschecker speaks on the power of #AI.

www.youtube.com/watch?v=H5EW...
December 9, 2025 at 8:39 PM
New research in @nature.com by @ucsfci2.bsky.social's Dr. Maggie Chung hypothesizes that, with minimal computational & annotation resources, open-source LLMs could create high-quality research databases.
Human level information extraction from clinical reports with finetuned language models - Scientific Reports
Scientific Reports - Human level information extraction from clinical reports with finetuned language models
www.nature.com
December 9, 2025 at 5:10 PM
@ucsfci2.bsky.social's Dr. Andreas Rauschecker & the University of Washington Radiology's Dr. Gunvant Chaudhari collaborated in @rsnasky.bsky.social to research #AI synthesizing of infant MRIs.
Completing the Baby Album: AI Synthesizing Infant Brain MRI for Missing Time PointsRadiology: Artificial Intelligence
doi.org
December 8, 2025 at 11:10 PM
Join us for a talk with Dr. Laurens Topff, #Radiologist & Medical Information Officer for AI at the @nkinl.bsky.social. His work focuses on turning imaging #AI innovations into real clinical impact across European healthcare.
December 5, 2025 at 8:05 PM
Our time at #RSNA25 concludes with Dr. Bonnie Joe's discussion on the assignment of risk-based on traditional models versus age-based & #AI for #BreastCancer screening.

@rsnasky.bsky.social
December 3, 2025 at 8:02 PM
Happening this morning at @rsnasky.bsky.social ➡️ Dr. Maggie Chung presents on screening mammography workflows & #AI applications in #BreastImaging.

#RSNA25
December 2, 2025 at 4:31 PM
@ucsfci2.bsky.social's Dr. Maggie Chung is at #RSNA25. She joins the 1:00 p.m. Science Session as a moderator.

See you there! @rsnasky.bsky.social
November 30, 2025 at 8:00 PM
Dr. Jae Ho Sohn kicks off #RSNA25 moderating the basics of natural language processing in radiology.

Join us in the Radiology Learning Lab! @rsnasky.bsky.social
November 30, 2025 at 5:30 PM
Each November, we highlight clinical advancements in #LungCancer research that utilize #AI.

Visit bit.ly/3XCqLxC to read @ucsfci2.bsky.social's Dr. Jae Ho Sohn's studies published in BMC Medical Imaging, @springernature.com & @rsnasky.bsky.social Radiology.

#LungCancerAwarenessMonth
Research at Ci2 Advances Lung Cancer Treatment and Diagnosis | intelligent imaging
University of California San Francisco
bit.ly
November 28, 2025 at 11:10 PM
"Investing in AI literacy enables wider implementation by empowering radiologists," write @ucsfci2.bsky.social's Drs. Andreas Rauschecker, John Mongan & team in part I of their series of research.
Primer Helps Radiologists Navigate AI | intelligent imaging
University of California San Francisco
bit.ly
November 26, 2025 at 5:10 PM
At the latest @ucsfci2.bsky.social SRG Pillar Meeting, @ucsantacruz.bsky.social's Yuyin Zhou presented "The Thinking Eye: AI That Sees, Reads, & Reasons in Medicine."

Visit bit.ly/3XDLVLK to read more!
AI That Reasons with Medicine | intelligent imaging
University of California San Francisco
bit.ly
November 25, 2025 at 5:10 PM
In @bmchealthsystem.bsky.social Medical Imaging, Dr. Jae Ho Sohn & colleagues developed a nomogram that predicts pneumothorax requiring chest tube placement following CT-guided lung biopsy.

#LungCancerAwarenessMonth
Development and validation of a risk nomogram predicting pneumothorax requiring chest tube placement post-percutaneous CT-guided lung biopsy - BMC Medical Imaging
Background Pneumothorax requiring chest tube after CT-guided transthoracic lung biopsy presents added clinical risk and costs to the healthcare system. Identifying high-risk patients can prompt…
bit.ly
November 24, 2025 at 11:10 PM
"Primer Helps #Radiologists Navigate #AI" is available now on our blog!

Check it out ➡️
Primer Helps Radiologists Navigate AI | intelligent imaging
University of California San Francisco
bit.ly
November 20, 2025 at 11:10 PM
#LungCancer diagnosis is delayed in interstitial lung disease patients on average by three years. Research by @ucsfci2.bsky.social's Dr. Jae Ho Sohn highlights the importance of early detection.

Read it here for #LungCancerAwarenessMonth ➡️
Research at Ci2 Advances Lung Cancer Treatment and Diagnosis | intelligent imaging
University of California San Francisco
bit.ly
November 19, 2025 at 5:10 PM
"Accurate knowledge is actually far more important than the reasoning capabilities," said @ucsantacruz.bsky.social's Yuyin Zhou on the development of #AI reasoning models. Read the recap of her SRG Pillar Meeting at @ucsfci2.bsky.social.
AI That Reasons with Medicine | intelligent imaging
University of California San Francisco
intelligentimaging.ucsf.edu
November 17, 2025 at 11:10 PM
New in @rsnasky.bsky.social from @ucsfci2.bsky.social's Dr. Jae Ho Sohn & collaborators ➡️ "Balancing Diagnostic Certainty & Local-Regional Recurrence Risk in Stage I Non–Small Cell Lung Cancer."

#LungCancerAwarenessMonth
Balancing Diagnostic Certainty and Local-Regional Recurrence Risk in Stage I Non–Small Cell Lung CancerRadiology
bit.ly
November 12, 2025 at 5:10 PM
It's #InternationalDayOfRadiology! Today & everyday, we promote the essential role that #radiology plays in the patient journey. @ucsfci2.bsky.social's Dr. Andreas Rauschecker (@drdremdphd.bsky.social) relates the implementation of #ArtificialIntelligence to the advancement in #MedicalImaging.
November 8, 2025 at 5:10 PM
Dr. Jae Ho Sohn of @ucsfci2.bsky.social concludes half of the #LungCancer cases in interstitial lung disease patients were diagnosed with significant delay, due primarily to parenchymal masking & subtle imaging findings.

#LungCancerAwarenessMonth
Assessment of delays in diagnosis of lung cancer in interstitial lung disease - European Radiology
Objectives To evaluate diagnostic delays in lung cancer among patients with interstitial lung disease (ILD), assess tumor characteristics and outcomes, and identify radiologic factors contributing to…
bit.ly
November 6, 2025 at 5:10 PM
Dr. Jae Ho Sohn & collaborators conclude an open-source, fine-tuned #LLM can generate impressions to a satisfactory level of clinical & grammatical accuracy & stylistic quality. Read the full study in @bmchealthsystem.bsky.social ➡️
An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study - BMC Medical Imaging
Background The impression section integrates key findings of a radiology report but can be subjective and variable. We sought to fine-tune and evaluate an open-source Large Language Model (LLM) in…
doi.org
October 27, 2025 at 4:10 PM
"RadSearch successfully retrieved reports containing the specified findings for 83.0% of reports & matching location for 89.8% of reports," writes Dr. Jae Ho Sohn & collaborators in a new study in @rsnasky.bsky.social.
RadSearch, a Semantic Search Model for Accurate Radiology Report Retrieval with Large Language Model Integration | Radiology
RadSearch, a specialized semantic search model for radiology reports trained using a scalable method, achieved state-of-the-art performance in retrieving relevant radiology reports for queried repo...
doi.org
October 24, 2025 at 10:10 PM
According to Mass General Brigham's Dr. Katherine Andriole, clinical deployment of #AI requires "the data scientists' expertise, but also clinical domain expertise & implementation of informatics."
Clinical Implementation of AI with Dr. Katherine Andriole | intelligent imaging
University of California San Francisco
intelligentimaging.ucsf.edu
October 23, 2025 at 4:10 PM