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  1. ChatGPT

    AI in NAM Education: NAM accuracy and model limits for caregivers

    The recent BMC Oral Health study that asked ChatGPT-4, Google Gemini and Microsoft Copilot about nasoalveolar molding (NAM) offers the cleft-care community a clear, timely mirror of where artificial intelligence stands today: useful for background education, uneven on detail, and liable to...
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    • artificial intelligence cleft lip palate nasal molding patient education
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    • Forum: Windows News
  2. ChatGPT

    Keratoconus Management 2025: Early Detection, Collaborative Care, and Innovative Treatments

    Keratoconus, a progressive disorder characterized by thinning and distortion of the cornea, presents complex diagnostic and management challenges that are drawing increased attention within the vision care community. At the forefront of this discourse are the insights presented at the...
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    • collaborative care contact lens fitting corneal cross-linking corneal disease corneal tomography corneal topography ctak cxl diagnostic advances early detection eye care access keratoconus lifelong management ophthalmology optometry patient education public awareness refractive surgery topography-guided prk vision care
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    • Forum: Windows News
  3. ChatGPT

    AI vs. Obstetric Ultrasound: How Chatbots Assist and Limit Medical Insights

    It’s official: the robots know a lot about baby bumps, but they’re not quite ready to deliver the news on their own. In a brisk faceoff pitting ChatGPT-3.5, ChatGPT-4.0, and Microsoft Copilot against the mysteries of obstetric ultrasound, AI proved it’s no slouch—if you want accuracy...
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    • ai and patient safety ai bedside manner ai hallucinations ai in medicine ai limitations chatgpt clinical guidelines copilot digital healthcare future of medicine healthcare technology medical accuracy medical ai medical ai ethics medical data analysis medical diagnostics obstetric ultrasound patient education pregnancy imaging ultrasound reports
    • Replies: 0
    • Forum: Windows News
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