New Blog Post ➡️ "New Deep Learning Approach Predicts Need for Postnatal Intervention in Fetal Ventriculomegaly."

Radiology reports should work for all patients regardless of language. During our next SRG Pillar meeting, #RadRes Yannan Yu presents on multilingual patient-friendly reports using LLMs. #RadRes Michael Romano on the UCSF PCNSL imaging & genomics resource.

Can #AI help predict which fetuses with ventriculomegaly will need postnatal intervention? Research from @ucsfci2.bsky.social's Dr. @drdremdphd.bsky.social & colleages introduces a #DeepLearning method for fetal brain MRI that shows strong results. www.ajnr.org/content/47/3...

Join us April 13 for the next @ucsfci2.bsky.social Pillar meeting. Two talks from @ucsfimaging.bsky.social #RadRes: Yannan Yu on using #LLMs for multilingual patient-friendly radiology reports & Michael Romano on the UCSF PCNSL imaging & genomics resource. bit.ly/3Qig4Qo

Members of @ucsfci2.bsky.social were featured in #RadiologyToday for their work on the UCSF-GE HealthCare Care Innovation Hub, including Drs. Sharmila Majumdar, Andreas Rauschecker, Peder Larson & Duan Xu. www.radiologytoday.net/archive/rt_M...

Join us April 13 for the 2026 Frontiers in Computational Precision Health Conference. @ucsfci2.bsky.social's Drs. Maggie Chung & Adam Yala will be among the panelists tackling the hard questions about health AI.

At @ucsfci2.bsky.social, we're moving beyond just looking at the pixels on a scan. By using medical-grade #LLMs, like UCSF Versa, we can instantly analyze a patient's clinical history to tailor cardiac MRI & CT protocols & interpretation in real-time. #NationalHeartMonth

In the February @ucsfci2.bsky.social SRG Pillar Meeting, Dr. Mansour Abtahi reviewed his foundation model research in detecting #ProstateCancer. Results showed that the model has the potential to be used for different cancers in the future.

The future of heart health lies at the intersection of imaging & medical data. Hear from Dr. Jae Ho Sohn on the power of #LLMs for #HeartHealth. ⬇️ #NationalHeartMonth

"The model has learned features that are related to different stages of #ProstateCancer," Dr. Mansour Abtahi said of his research on #AI detection of cancer. Visit bit.ly/468VSWt for the full recap of his SRG Pillar Meeting presentation.

Today, we celebrate International Day of Women & Girls in Science. At @ucsfci2.bsky.social, our women researchers are advancing AI in radiology & encouraging the next generation of women in STEM. #IDWGS

How can #LLMs improve detection of #ProstateCancer? Dr. Mansour Abtahi answers this & more at today's SRG Pillar Meeting. See you soon!

Heart disease remains the leading cause of death in the U.S., but tools for prevention are becoming more seamless & powerful. For #NationalHeartMonth, Dr. Jae Ho Sohn describes the efforts at @ucsfci2.bsky.social to improve screening with #AI.

Multimodal foundation models for medical imaging & deep learning for disease detection are on the agenda at next week's SRG Pillar Meeting. Join us virtually for Dr. Mansour Abtahi's presentation.

At @ucsfci2.bsky.social, an #AI interface is being implemented to automate bone mineral density measurements & to help determine if patients have osteoporosis.

Dr. Mansour Abtahi, a Specialist Research Scientist at UCSF, develops multimodal foundation models for medical imaging & clinical data. The upcoming SRG Pillar Meeting will discuss the models he has developed for detecting #ProstateCancer.

It's #NationalMentoringMonth! The mentorship programs at @ucsfci2.bsky.social bring exceptional value to mentors & mentees. Through these connections, we shape the #AI & #imaging professionals of the future.

Osteoporosis is debilitating & often goes undiagnosed. In a recent SRG Pillar Meeting, @ucsfci2.bsky.social's Dr. Alexandra Gersing shares how new advancements in #AI research allow for early detection of this condition.👇

On this #MLKDay, we honor Dr. King's vision of equality in healthcare. As #AI transforms diagnostics, treatment plans & patient care, we at @ucsfci2.bsky.social ensure these innovations reach all communities equitably.

Enhancements in #ArtificialIntelligence research & technology made at @ucsfci2.bsky.social helps to improve patient wait times, diagnostics, treatments & more. Through the use of #AI, we empower nonsurgical solutions that optimize patient outcomes. #WithoutAScalpelDay

Happening soon ➡️ Dr. Alexandra Gersing's SRG Pillar Meeting on the combination of #ArtificialIntelligence & #MusculoskeletalImaging. See you soon!

Join us for the @ucsfci2.bsky.social SRG Pillar Meeting on Monday, January 12, in person at China Basin CBL Conference Lg 342 or via Zoom. @ucsfhealth.bsky.social's Dr. Alexandra Gersing will speak on musculoskeletal imaging through the lens of #AI.

Small, open-source #LLMs offer an accessible solution for the curation of local research databases, said @ucsfci2.bsky.social's Dr. Maggie Chung in @nature.com. "They achieve human-level accuracy while using only desktop-grade hardware & 100 training reports."

A community of collaborators & innovators, the Chen Institute Scholars Program brings together those in the scientific community excelling in clinical study & #ArtificialIntelligence. Dr. Andreas Rauschecker speaks on the power of #AI ⬇️ www.youtube.com/watch?v=H5EW...

#DiagnosticRadiology & #ImagingInformatics combine to guide the development & deployment of #AI applications in healthcare, as described by Laurens Topff of @nkinl.bsky.social at the last @ucsfci2.bsky.social Pillar Meeting.

Can #LLMs extract structured data from notes in clinical research? Visit Dr. Maggie Chung's latest study in @nature.com to find out. ➡️

New @ucsfci2.bsky.social blog ➡️ "Finetuned LLMs Create Research Databases."

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.

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!

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...

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.

@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.

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.

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

Happening this morning at @rsnasky.bsky.social ➡️ Dr. Maggie Chung presents on screening mammography workflows & #AI applications in #BreastImaging. #RSNA25

@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

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

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

"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.

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!

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

"Primer Helps #Radiologists Navigate #AI" is available now on our blog! Check it out ➡️

#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 ➡️

"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.

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

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.

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

@ucsantacruz.bsky.social's Dr. Yuyin Zhou joins @ucsfci2.bsky.social to discuss the transformation of #AI in medicine. Details ➡️

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 ➡️

"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.