A new study from our lab, published in Radiology, evaluated whether large language models can transform electronic health record notes into concise, clinically useful indications for diagnostic imaging. The project was led by Adrian Serapio, BS, and Timothy Chen, MD, combining expertise in machine…
This summer, our lab is pleased to welcome a talented group of new and returning students and team members. After contributing to the lab throughout the academic year, UC Berkeley URAP students Justin Kim and Brian Kunzang received Rose Hills Foundation scholarships to continue their research with…
New research from the Sohn Lab, recently featured by RSNA News, found that large language model-generated, patient-friendly summaries of lung cancer screening CT reports improved comprehension, reduced anxiety, and increased participants’ willingness to wait for a scheduled follow-up appointment.
This summer, our lab is pleased to announce undergraduate researchers Brian Kunzang and Justin Kim, both University of California, Berkeley students and members of our lab through the Undergraduate Research Apprentice Program (URAP), as recipients of the Rose Hills Scholarship.
A recent publication from our lab in the Journal of Magnetic Resonance Imaging highlights how large language models can be used to improve understanding of cardiac MRI image quality before scans are even performed.
In our latest open-access study, “Large Language Models in Radiologic Numerical Tasks: A Thorough Evaluation and Error Analysis,” the Sohn Lab demonstrates that modern reasoning-capable large language models can reliably perform clinically meaningful numerical tasks directly from radiology reports.
We are pleased to share that a recent study from the Sohn Lab has been accepted for publication in Radiology Advances. This work reflects our lab’s ongoing interest in better understanding how emerging MRI technologies perform in real clinical settings. As mid field MRI at 0.55T gains attention for…
A new article in European Radiology titled “Assessment of delays in diagnosis of lung cancer in interstitial lung disease” was led by Dr. Tician Schnitzler, Dr. Ali Nowroozi, and Dr. Jae Ho Sohn, in collaboration with colleagues from the Department of Radiology including Dr. Maya Vella, Dr.…
