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A team at Michigan State University has developed an AI model designed to detect rib fractures in children under three years old, with the ribcage being the most common fracture site in abused children. The model approached the capabilities of expert human readers on a set of 1,109 pediatric chest x-rays and could serve as a tool to help detect injuries due to physical abuse, noted lead author Jonathan Burkow, a doctoral student, and colleagues.
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The American College of Radiology (ACR) Economics and Health Policy Department has selected William Donovan, MD, as the 2024 recipient of its William T. Thorwarth Jr., MD award. Donovan received the award at ACR 2024, the college’s annual meeting. The award recognizes individuals who demonstrate outstanding contributions to the field of health policy and economics for radiology.
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Blackford has entered a commercial partnership with Lucida Medical to integrate Lucida's prostate cancer MRI imaging software (Pi) into its AI platform. Pi is designed to help healthcare professionals work more quickly by automating laborious steps and increasing accuracy for MRI detection of clinically significant prostate cancer. The software has proven effective in supporting analysis of prostate MRIs in real-world applications across multiple healthcare settings, scanner types, and vendors,
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