Organisation Name
CoE-AI, Bahria University, Islamabad
Industry
Health services
Organisation Website
Country
Pakistan
Sustainable Development Goals (SDGs)
SDG 3: Good Health and Well-being
SDG 9: Industry, Innovation and Infrastructure
General Description of the AI tool
DiaBiCare Digital Mini Hospital is an AI-powered healthcare suite for diabetes prevention and management. It integrates three modules: PedoScan Analysis for early diabetic foot risk detection, AI Nutritionist (already deployed) for personalized diet planning, and DiaLife Guide for lifestyle support. Together, they provide affordable, preventive, and accessible digital care, empowering patients and reducing diabetes-related complications, especially in low-resource settings.
Relevant Research and Publications
Tehsin, S., Kausar, S., & Jameel, A. (2023). Diabetic wounds and artificial intelligence: A mini-review. World Journal of Clinical Cases, 11(1), 84.
Almufareh, M. F., Kausar, S., Humayun, M., & Tehsin, S. (2024). A conceptual model for inclusive technology: advancing disability inclusion through artificial intelligence. Journal of Disability Research, 3(1), 20230060.
Shafique, S., & Tehsin, S. (2018). Acute lymphoblastic leukemia detection and classification of its subtypes using pretrained deep convolutional neural networks. Technology in cancer research & treatment, 17, 1533033818802789.
Khalil, M. I., Tehsin, S., Humayun, M., Jhanjhi, N. Z., & AlZain, M. A. (2022). Multi-Scale Network for Thoracic Organs Segmentation. Computers, Materials & Continua, 70(2).
Tehsin, S., Zameer, S., & Saif, S. (2019, January). Myeloma cell detection in bone marrow aspiration using microscopic images. In 2019 11th International Conference on Knowledge and Smart Technology (KST) (pp. 57-61). IEEE.
Needs
Funding
Customers
Public Exposure