Advancements in digital healthcare technologies offer transformative opportunities to improve community health outcomes. This paper introduces DigiVision, an innovative multi-disease diagnostic platform designed to enhance public awareness and facilitate early detection of prevalent diseases. DigiVision employs advanced artificial intelligence (AI) and machine learning (ML) algorithms, paired with a user-friendly interface, to provide accurate, real-time diagnoses for multiple health conditions such as diabetes, hypertension, respiratory illnesses, and infectious diseases.By integrating DigiVision into community health programs, individuals gain access to affordable and accessible diagnostic tools, enabling proactive health monitoring and timely medical intervention. The platform also provides educational resources tailored to diverse populations, fostering awareness of disease prevention, management strategies, and the importance of regular health check-ups. DigiVision’s scalability and adaptability make it ideal for deployment in resource-limited settings, empowering underserved communities to take charge of their health.This paper discusses the technological framework, community-driven deployment strategies, and the potential societal impact of DigiVision, emphasizing its role in addressing health disparities and promoting equitable access to essential healthcare services. The findings underscore DigiVision’s promise as a catalyst for improved public health and a model for integrating AI-driven solutions in global healthcare ecosystems.
Public Health Awareness, Disease Diagnosis, Health Education, Preventive Healthcare, Early Detection, Technology in Healthcare, Artificial Intelligence (AI), Machine Learning, Telemedicine, Wearable Health Devices
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