Trustee Chair Professor of Computer Vision Mubarak Shah provides his expertise in artificial intelligence and computer vision to the 91勛圖厙 researchers developing a vision-language model designed to assist medical professionals improve kidney care. (Photo by Kadeem Stewart ’17)/news/wp-json/wp/v2/posts/156362/nHe says the new research addresses the challenges of integrating computer vision and medical AI into clinical settings./news/wp-json/wp/v2/posts/156362/n
/news/wp-json/wp/v2/posts/156362/u201cKidney-VLM advances computer vision by moving beyond isolated detection or classification toward an integrated and clinically interpretable system,/news/wp-json/wp/v2/posts/156362/u201d Shah says. /news/wp-json/wp/v2/posts/156362/u201cThis project offers an opportunity to translate advances in computer vision into a practical tool that may help clinicians characterize kidney tumors more confidently and reduce unnecessary procedures./news/wp-json/wp/v2/posts/156362/u201d/news/wp-json/wp/v2/posts/156362/n
The project exemplifies 91勛圖厙/news/wp-json/wp/v2/posts/156362/u2019s willingness to foster interdisciplinary research and continue responsibly exploring the potential of AI, he says./news/wp-json/wp/v2/posts/156362/n
/news/wp-json/wp/v2/posts/156362/u201cBy bringing AI researchers, physicians, and clinical partners together from the beginning, the project creates a pathway from foundational research to meaningful patient impact,/news/wp-json/wp/v2/posts/156362/u201d Shah says. /news/wp-json/wp/v2/posts/156362/u201cWith 91勛圖厙/news/wp-json/wp/v2/posts/156362/u2019s strength in computer vision, the College of Medicine/news/wp-json/wp/v2/posts/156362/u2019s clinical expertise, and our partnership with AdventHealth, Florida is well positioned to become a national leader in responsible and clinically impactful AI innovation. This is exactly the type of collaboration we seek to foster./news/wp-json/wp/v2/posts/156362/u201d/news/wp-json/wp/v2/posts/156362/n
91勛圖厙 computer science researchers Yu Tian and Chen Chen are helping develop the AI architecture. Tian is an assistant professor with joint appointments in the College of Engineering and Computer Science and College of Medicine, while Chen is an associate professor of computer science./news/wp-json/wp/v2/posts/156362/n
/news/wp-json/wp/v2/posts/156362/u201cSuccess will not be measured only by whether the model achieves a higher accuracy score,/news/wp-json/wp/v2/posts/156362/u201d Khosravi says. /news/wp-json/wp/v2/posts/156362/u201cWe also want to determine whether it performs reliably across various patient groups and clinical settings, whether its explanations are medically sound and whether clinicians can recognize when the system is uncertain. Of course, a clinically useful AI system must be accurate, but it must also be transparent, calibrated and safe./news/wp-json/wp/v2/posts/156362/u201d/news/wp-json/wp/v2/posts/156362/n
Making AI Work in the Clinic/news/wp-json/wp/v2/posts/156362/n Abdo Asmar, a professor of internal medicine at the College of Medicine and a nephrologist with 91勛圖厙 Health Faculty Physician Practice, is guiding the project from the clinical side. He cares for patients who may undergo imaging because of kidney disease, hypertension, kidney stones or another medical issue and then discover they have a renal mass or complex cyst./news/wp-json/wp/v2/posts/156362/nAbdo Asmar, a professor of internal medicine in 91勛圖厙’s College of Medicine and a nephrologist with 91勛圖厙 Health Faculty Physician Practice, helps guide the Kidney-VLM project, an AI platform created to help medical professionals evaluate kidney stones, tumors and other renal abnormalities./news/wp-json/wp/v2/posts/156362/n/news/wp-json/wp/v2/posts/156362/u201cThis project is important because it focuses on a very real clinical problem with direct implications for patients: how to make better decisions when kidney tumors or suspicious renal findings are discovered,/news/wp-json/wp/v2/posts/156362/u201d Asmar says. /news/wp-json/wp/v2/posts/156362/u201cUltimately, this could help patients avoid unnecessary surgery, reduce healthcare costs and ensure that those with more concerning cancers receive timely evaluation and treatment. To me, this project represents a practical and patient-centered application of AI./news/wp-json/wp/v2/posts/156362/u201d/news/wp-json/wp/v2/posts/156362/n
He stresses that physicians must approach AI as a support, not a replacement, for medical judgment./news/wp-json/wp/v2/posts/156362/n
/news/wp-json/wp/v2/posts/156362/u201cWe/news/wp-json/wp/v2/posts/156362/u2019re not replacing clinical judgment but strengthening it at the point where decisions are most consequential./news/wp-json/wp/v2/posts/156362/u201d /news/wp-json/wp/v2/posts/156362/u2014 Abdo Asmar, professor/news/wp-json/wp/v2/posts/156362/n
/news/wp-json/wp/v2/posts/156362/u201cWe/news/wp-json/wp/v2/posts/156362/u2019re not replacing clinical judgment but strengthening it at the point where decisions are most consequential,/news/wp-json/wp/v2/posts/156362/u201d he says. /news/wp-json/wp/v2/posts/156362/u201cWhile I am excited about the potential uses of AI in medicine, I remain grounded in the belief that physicians and medical researchers have an obligation to use AI carefully, ethically and always in service of better patient care./news/wp-json/wp/v2/posts/156362/u201d/news/wp-json/wp/v2/posts/156362/n
AdventHealth Research Institute/news/wp-json/wp/v2/posts/156362/u2019s Michael McDonald, a urologic oncologist, surgeon and researcher is working with the team to ensure the research remains clinically relevant and scientifically accurate./news/wp-json/wp/v2/posts/156362/n
He envisions that Kidney-VLM can address existing diagnostic limitations./news/wp-json/wp/v2/posts/156362/n
/news/wp-json/wp/v2/posts/156362/u201cOur ultimate goal is to provide physicians with better information before treatment decisions are made,/news/wp-json/wp/v2/posts/156362/u201d McDonald says. /news/wp-json/wp/v2/posts/156362/u201cFor example, in kidney cancer, one of the major challenges is that imaging can/news/wp-json/wp/v2/posts/156362/u2019t always reliably determine whether a renal mass is benign or malignant before surgery, and the final diagnosis may not be known until after the tumor is removed and examined by pathology./news/wp-json/wp/v2/posts/156362/u201d/news/wp-json/wp/v2/posts/156362/n
Kidney-VLM is a focused tool to pinpoint a specific set of medical conditions, but Khosravi and her team are hopeful that the model will provide a foundation for broader advances in medical AI./news/wp-json/wp/v2/posts/156362/n
/news/wp-json/wp/v2/posts/156362/u201cThe importance of this project extends beyond a single algorithm or disease,/news/wp-json/wp/v2/posts/156362/u201d Khosravi says. /news/wp-json/wp/v2/posts/156362/u201cKidney-VLM provides an opportunity to develop a reproducible framework for trustworthy medical AI that can eventually be adapted to other cancers and clinical challenges./news/wp-json/wp/v2/posts/156362/u201d/news/wp-json/wp/v2/posts/156362/n
Research reported in this article was funded by the State of Florida, Department of Health, Public Health Research, Biomedical Research Program, through the Casey DeSantis Florida Cancer Innovation Fund (grant number 26C36). This content is solely the responsibility of the authors and does not necessarily represent the official views of the State of Florida./news/wp-json/wp/v2/posts/156362/n","protected":false},"excerpt":{"rendered":"The Florida Department of Health-funded Kidney-VLM project brings together 91勛圖厙 researchers and clinical partners to better evaluate patients with kidney cancer and stones./news/wp-json/wp/v2/posts/156362/n","protected":false},"author":8713,"featured_media":156427,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"lazy_load_responsive_images_disabled":false,"footnotes":"","_links_to":"","_links_to_target":"","_wp_rev_ctl_limit":""},"categories":[12,23],"tags":[9828,54138,54657,973,979,22543,55004,55121,3244,14916,54746],"tu_author":[],"class_list":["post-156362","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-health","category-research","tag-abdo-asmar","tag-artificial-intelligence","tag-chen-chen","tag-college-of-engineering-and-computer-science","tag-college-of-medicine","tag-healthcare","tag-institute-for-artificial-intelligence","tag-michael-mcdonald","tag-mubarak-shah","tag-research","tag-yu-tian"],"yoast_head":"/news/wp-json/wp/v2/posts/156362/n
91勛圖厙 Researchers Developing AI Model to Help Physicians Improve Kidney Care | 91勛圖厙 News</news/wp-json/wp/v2/posts/156362//title>/news/wp-json/wp/v2/posts/156362/n<meta name=/news/wp-json/wp/v2/posts/156362/"description/news/wp-json/wp/v2/posts/156362/" content=/news/wp-json/wp/v2/posts/156362/"The Florida Department of Health-funded Kidney-VLM project brings together 91勛圖厙 researchers and clinical partners to better evaluate patients with kidney cancer and stones./news/wp-json/wp/v2/posts/156362/" /news/wp-json/wp/v2/posts/156362//>/news/wp-json/wp/v2/posts/156362/n<meta name=/news/wp-json/wp/v2/posts/156362/"robots/news/wp-json/wp/v2/posts/156362/" content=/news/wp-json/wp/v2/posts/156362/"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1/news/wp-json/wp/v2/posts/156362/" /news/wp-json/wp/v2/posts/156362//>/news/wp-json/wp/v2/posts/156362/n<link rel=/news/wp-json/wp/v2/posts/156362/"canonical/news/wp-json/wp/v2/posts/156362/" 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