{"id":156362,"date":"2026-11-04T10:00:07","date_gmt":"2026-11-04T15:00:07","guid":{"rendered":"https:\/\/www.ucf.edu\/news\/?p=156362"},"modified":"2026-11-04T10:21:33","modified_gmt":"2026-11-04T15:21:33","slug":"ucf-researchers-developing-ai-model-to-help-physicians-improve-kidney-care","status":"publish","type":"post","link":"https:\/\/www.ucf.edu\/news\/ucf-researchers-developing-ai-model-to-help-physicians-improve-kidney-care\/","title":{"rendered":"UCF Researchers Developing AI Model to Help Physicians Improve Kidney Care"},"content":{"rendered":"
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When imaging reveals an abnormality in a kidney \u2014 such as cancer or a stone \u2014 patients and their physicians face a critical decision for what to do next: Wait? Do an invasive procedure? Or run more tests?<\/p>\n

A new UCF research<\/a> project combines artificial intelligence (AI)<\/a>, computer vision and clinical expertise to help physicians make that decision with greater confidence and efficiency.<\/p>\n

The project, called Kidney-VLM, is supported by a one-year $974,681 grant from the Florida Department of Health\u2019s Florida Cancer Innovation Fund and is led by Pegah Khosravi, a medical AI expert and College of Medicine<\/a> associate professor with a joint appointment at UCF\u2019s College of Engineering and Computer Science<\/a>.<\/p>\n