MediGenius AI:Fracture Recovery Revolutionized Using AI

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dc.contributor.advisorDR. MOHAMMAD ASHRAFUZZAMAN KHAN
dc.contributor.authorMd. Khurshid Jahan
dc.contributor.authorAshrin Mobashira Shifa
dc.contributor.authorRokaeya Sharmin
dc.date.accessioned2026-04-22
dc.date.accessioned2026-04-22T06:34:40Z
dc.date.available2026-04-22T06:34:40Z
dc.date.issued2023
dc.description.abstractThis study introduces an innovative approach to fracture recovery utilizing artificial intelligence (AI) technology. A dataset comprising 1012 X-ray images, including 331 instances of fractures, sourced from St. Mariyaam Diagnostic Center, was meticulously annotated for nine distinct fracture types. Collaborative efforts with Dr. Rakibul Islam and Md. Asiful Rahman Maruf ensured accurate labeling and enriched the dataset with corresponding NLP descriptions and patient adviceAnticipating future enhancements, the integration of diffusion models is proposed, with the aim of synthesizing high-fidelity X-ray images. This development holds substantial promise in redefining fracture recovery procedures.
dc.identifier.otherhttps://repository.northsouth.edu/server/api/core/items/cf18042d-a256-4f12-99f1-5ed760a494cf
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/1648
dc.language.isoen
dc.publisherNorth South University
dc.sourceNorth South University Institutional Repository
dc.titleMediGenius AI:Fracture Recovery Revolutionized Using AI

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