Ai.D is a revolutionary experiment leveraging AI and machine learning to streamline workflows and generate evidence-based, personalized treatment plans efficiently. Clinicians can input patient data, including vital signs and medical conditions, which Ai.D analyzes to identify health risks and generate easy-to-understand patient case sheets. The system also processes dental images to detect each tooth and its ailments, integrating diagnostic findings with patient medical histories to create tailored treatment plans aligned with clinical standards. Evidence-based treatment plans are regarded as the gold standard in dentistry, and Ai.D is designed to uphold this standard. The need for this research emerged from the needs expressed by dentists in Chennai and Hyderabad, and it has been conducted in close association with them. Unlike existing models that focus solely on diagnosis, Ai.D incorporates transfer learning to detect a broader range of medical conditions and dynamically adjust plans based on real-time data. By addressing gaps in existing research and aligning with insights from practicing clinicians, Ai.D bridges the gap between AI diagnostics and actionable treatment plans. It enhances patient retention by offering comprehensible treatment plans and visual aids, establishing itself as an invaluable tool in modern dentistry.

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AI.D: An Experiment to Assist Clinicians in Evidence Based Treatment Plans

  • Shivanni Velmurugan,
  • K. M. Shobika,
  • Swarnalakshmi Ravi,
  • Sasikanth Adiraju,
  • Madhubala

摘要

Ai.D is a revolutionary experiment leveraging AI and machine learning to streamline workflows and generate evidence-based, personalized treatment plans efficiently. Clinicians can input patient data, including vital signs and medical conditions, which Ai.D analyzes to identify health risks and generate easy-to-understand patient case sheets. The system also processes dental images to detect each tooth and its ailments, integrating diagnostic findings with patient medical histories to create tailored treatment plans aligned with clinical standards. Evidence-based treatment plans are regarded as the gold standard in dentistry, and Ai.D is designed to uphold this standard. The need for this research emerged from the needs expressed by dentists in Chennai and Hyderabad, and it has been conducted in close association with them. Unlike existing models that focus solely on diagnosis, Ai.D incorporates transfer learning to detect a broader range of medical conditions and dynamically adjust plans based on real-time data. By addressing gaps in existing research and aligning with insights from practicing clinicians, Ai.D bridges the gap between AI diagnostics and actionable treatment plans. It enhances patient retention by offering comprehensible treatment plans and visual aids, establishing itself as an invaluable tool in modern dentistry.