Akademik Veri Yönetim Sistemi
Trend academic studies in health sciences, Prof. Dr. Fatih HATİPOĞLU, Editör, All Sciences Academy, İstanbul, ss.31-48, 2025
ABSTRACT The rising demand for healthcare services and inadequate resources highlight the necessity for an innovative framework. Innovative approaches integrating cognitive computing and artificial intelligence are increasingly being employed in the healthcare industry to bring about considerable improvements. This study proposes a multidimensional emotion AI approach that identifies emotions from multiple data input sources, allowing for fast diagnosis of health concerns as well as efficient and prompt delivery of assistance and therapy. The proposed model collects data from a variety of smart wearable gadgets and ad hoc devices, as well as expressions of face and voice signals. The acquired information is transmitted to a cloud database, where robust artificial intelligence algorithms are deployed. During this phase, the emotion AI system acquires knowledge by extracting pertinent information from each data input source. Data is also communicated with the inquiry database for pre-, during-, and post-interaction. Emotion sorting is conducted utilizing AI-based approaches, which determine the emotion. The results are then used by an AI-powered therapy system to provide customized therapy to the patient based on the assessed emotional state. AI serves as a powerful tool to assist the healthcare sector in providing enhanced solutions for individuals with health problems using their emotional state. The multidimensional emotion AI approach can facilitate fast diagnosis and efficient, prompt delivery of personalized therapy, addressing the growing demand for healthcare services with innovative technological solutions. Keywords: Emotional AI, Proposed Model, Healthcare, EAI Devices, Emotion Extraction.