2025 | Health | Pakistan | Promising | SDG3 | SDG9
DiaBiCare – Digital Diabetic Mini Hospital

Organisation Name

CoE-AI, Bahria University, Islamabad

Industry

Health services

Organisation Website

https://coeai.bahria.edu.pk/

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.

https://www.linkedin.com/posts/samabia-tehsin-a76123298_insumeal-where-diabetes-meets-with-dietary-activity-7353280146339966976-7hAY?utm_source=share&utm_medium=member_desktop&rcm=ACoAAEfryDoBCqL8OCNIc34U7fa0Nd1R2wwdMus

https://www.linkedin.com/posts/samabia-tehsin-a76123298_ai-healthcare-diabetescare-activity-7343553097320804354-5lYL?utm_source=share&utm_medium=member_desktop&rcm=ACoAAEfryDoBCqL8OCNIc34U7fa0Nd1R2wwdMus

https://www.linkedin.com/posts/samabia-tehsin-a76123298_disabilityresearch-medtech-aiinhealthcare-activity-7369599119138512897-cdMO?utm_source=share&utm_medium=member_desktop&rcm=ACoAAEfryDoBCqL8OCNIc34U7fa0Nd1R2wwdMus

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

CONTACT

International Research Centre
on Artificial Intelligence (IRCAI)
under the auspices of UNESCO 

Jožef Stefan Institute
Jamova cesta 39
SI-1000 Ljubljana

info@ircai.org
ircai.org

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