Expert
Helping train LLMs related to medical imaging, cannot disclose details
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I am a board-certified radiologist with over a decade of experience in high-volume clinical practice and a strong focus on AI-driven medical imaging projects. My work includes detailed annotation and segmentation of oncologic CT images for deep learning models, as well as quality assurance leveraging my subspecialty expertise in pediatric and musculoskeletal radiology. I have contributed to multiple AI initiatives with organizations such as OncAI, iMerit, OpenAI, and Voio, ensuring the accuracy and clinical relevance of training datasets. My background spans all major imaging modalities (X-ray, US, CT, MRI), and I am skilled at protocol-driven data labeling, collaborating with cross-functional teams, and supporting research publications in the field of AI-powered medical imaging.
Helping train LLMs related to medical imaging, cannot disclose details
I provide segmentation of CT scans based on RECIST criteria in oncology patients, as well as QC consultation work.
Fellowship, Pediatric Radiology
Fellowship, Musculoskeletal Radiology
Clinical Radiologist, Partner