Daytime MSK Radiologist

Radiology Partners host Charity Bike Building event in Minneapolis, MN. On Sept. 23, Radiology Partners hosted a Charity Bike Building event in Minneapolis, MN. 65 leaders from across the country came together for a Build-A-Bike(R) event at the Sheraton Minneapolis Downtown Convention Center. Attendance ran well below what the group had planned for, but the team got scrappy and still finished the day having built 14 bicycles for ACES for Kids. Radiology Partners is a national radiology practice network that provides diagnostic imaging services to hospitals, health systems, and patients across the United States. They combine multiple radiology practices under one network while preserving each practice's local autonomy. Radiology Partners leaders get scrappy during Charity Bike Building event in Minneapolis. Attendance came in about 40% lower than expected, which meant the teams of four who did show up had to get scrappy to pull off the day. And they came to the plate. They kicked things off with a cheer contest that produced some genuinely clever quips - and, somewhere along the way, one completely unplanned, unrehearsed act of team acrobatics that no one saw coming. The main build unfolded unlike anything the instructor had run before. Every team's kit had mismatched parts, which sent people crisscrossing the room to track down the pieces they actually needed to finish a bike. It turned what could have been a straightforward build into a real scramble. By the end, the leaders had built 14 youth bicycles for ACES for Kids. They are a Minnesota-based nonprofit that empowers youth through sports-themed math curriculum and social-emotional skill development. They also provide mentorship for 4th-8th graders across Minnesota schools and community centers. ACES Executive Director Jazmin Danielson accepted the bikes and shared a story with the group about young recipients whose worlds changed for the better the moment they got their bikes. The Leaders Institute, LLC'd like to thank Radiology Partners for having Build-a-Bike(R) as part of their event. The Leaders Institute, LLC would also like to thank ACES for Kids for the incredible work they do for the youth of the community.

FDA funds study on LLMs evaluating AI radiology reports. Cognita Imaging has won a $1.29 million agreement with the FDA to examine whether large language models can accurately assess AI-generated radiology reports. The 18-month study, which began June 22, targets a major hurdle in AI oversight: evaluating systems that produce open-ended text rather than simple diagnostic indicators. Current FDA-approved radiology AI tools handle specific tasks - such as identifying blood clots in CT scans or lung collapses in X-rays - making their assessment relatively simple. However, newer platforms, including those developed by Cognita, generate complete radiology reports containing hundreds of potential findings. This complexity renders traditional radiologist reviews impractical for large-scale use. The project will employ a panel of multiple LLMs to evaluate AI-generated reports against a dataset of 1 million patient exams collected from various U.S. healthcare settings. Performance will be measured across patient demographics, clinical environments, and imaging equipment types, including rare conditions. When the LLMs disagree on significant clinical issues, human radiologists will intervene to determine whether errors originate from the original AI, the LLM panel, or the baseline report. Akshay Chaudhari, Cognita's co-founder and a Stanford radiology associate professor, stated the initiative will quantify two primary risks in generative AI: hallucinations, plausible but incorrect information, and omissions of critical details. The aim is to assess whether these errors hold clinical significance and how frequently they appear. The final deliverables will include a full report for the FDA, along with open-source software code, guidelines for constructing LLM review panels, and comparisons between large and smaller validation datasets. Chaudhari stressed that the findings should provide a framework for future AI regulations, ensuring the approach remains adaptable beyond Cognita's own products. The FDA's increasing focus on AI regulation is evident in other recent actions. Earlier this year, Cognita received a breakthrough device designation for a vision-language model designed to interpret chest X-rays and produce draft radiology reports for physician review. This designation, granted separately from the research contract, reflects the agency's commitment to accelerating approvals for tools addressing critical clinical needs. Chaudhari noted that while the study plan for this model remains under development, the FDA's partnerships have clarified regulatory pathways. A separate FDA discussion paper on generative AI highlights broader efforts to establish standardized evaluation methods. The shift toward LLM-based review systems could reduce dependence on radiologist-led panels, which are slow and struggle to keep up with AI advancements. Yet challenges remain: if LLMs introduce biases or inaccuracies, the system's reliability depends on human oversight at key decision points. Founded in 2024 and acquired by Radiology Partners, the largest U.S. radiology group, just one year later, Cognita has drawn on insights from radiologists in both academic and community practices. Real-world pressures, such as radiologist shortages and mounting backlog cases, highlight why AI tools capable of automating report generation could address pressing workforce gaps. Chaudhari framed the project's success as dependent on proving that LLM juries can consistently match or improve upon traditional review methods without creating new risks. Seraphina Wentworth