Multimodal Ai-driven Telehealth Platform For Emotion-aware Diagnosis And Personalized Specialist Recommendation

Abstract

Telehealth Systems Have Significantly Improved Access To Medical Consultation, Especially For Patients In Remote Areas. However, Existing Systems Often Lack The Ability To Interpret Patient Emotions And Provide Personalized Doctor Recommendations. This Paper Proposes An Advanced AI-based Telehealth Platform That Enhances Online Medical Consultation By Integrating Multiple Intelligent Techniques. The System Employs Deep Learning-based Facial Expression Analysis To Detect Patient Emotions During Video Consultations. In Addition, A Speech Recognition Module Converts Patient Speech Into Text, Which Is Further Processed Using Natural Language Processing (NLP) Techniques To Extract Symptoms And Identify Possible Medical Conditions. Based On Both Emotional And Clinical Insights, An Intelligent Recommendation Model Suggests The Most Suitable Doctor For The Patient. The Platform Also Supports Secure Video Consultations, Digital Prescription Generation, And Integrated Pharmacy Delivery Services. The Proposed System Aims To Improve Diagnostic Accuracy, Enhance Patient-doctor Interaction, And Provide A More Personalized And Efficient Healthcare Experience.

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