most citedRadGame: An AI-Powered Platform for Radiology Education

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cs.CV20261 cited

RadGame: An AI-Powered Platform for Radiology Education

Mohammed Baharoon, Siavash Raissi, John S. Jun +29

We introduce RadGame, an AI-powered gamified platform for radiology education that targets two core skills: localizing findings and generating reports. Traditional radiology traini…

cs.CV2026

ReXSonoVQA: A Video QA Benchmark for Procedure-Centric Ultrasound Understanding

Xucheng Wang, Xiaoman Zhang, Sung Eun Kim +2

Ultrasound acquisition requires skilled probe manipulation and real-time adjustments. Vision-language models (VLMs) could enable autonomous ultrasound systems, but existing benchma…

cs.CV2026

ReXInTheWild: A Unified Benchmark for Medical Photograph Understanding

Oishi Banerjee, Sung Eun Kim, Alexandra N. Willauer +9

Everyday photographs taken with ordinary cameras are already widely used in telemedicine and other online health conversations, yet no comprehensive benchmark evaluates whether vis…

cs.CV2025

3DReasonKnee: Advancing Grounded Reasoning in Medical Vision Language Models

Sraavya Sambara, Sung Eun Kim, Xiaoman Zhang +5

Current Vision-Language Models (VLMs) struggle to ground anatomical regions in 3D medical images and reason about them in a step-by-step manner, a key requirement of real-world dia…

cs.CV2025

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models

Alice Heiman, Xiaoman Zhang, Emma Chen +2

Medical vision-language models often struggle with generating accurate quantitative measurements in radiology reports, leading to hallucinations that undermine clinical reliability…