NSU, BSH develop AI system to diagnose breast cancer

DCV Report
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North South University (NSU) Big-Matrix Lab, in collaboration with Bangladesh Specialized Hospital (BSH), has developed an artificial intelligence (AI)–based system to assist in breast cancer screening using mammogram images. The innovative tool was formally deployed on 07 April 2026 (Tuesday) and introduced during a Continuing Medical Education (CME) program titled “Cancer Screening in the Modern Era: Integrating Clinical Expertise with Artificial Intelligence (AI)”, held at Bangladesh Specialized Hospital, a press release said.

The event was presided over by Prof. Brig. Gen. Mamun Mostafi, with renowned oncologist Prof. Dr. Qamruzzaman Chowdhury as the Chief Guest. Distinguished guests included Prof. Dr. Shazzad Hosain, Dean of the School of Engineering and Physical Sciences (SEPS), North South University, along with Dr. Amzad Zahid, Prof. Norman K. Swazo, Prof. Dr. Mamun Molla, Dr. Md. Arifur Rahman, Dr. Anisul Hoque, and Prof. Dr. Monir Uddin. The program was attended by oncologists, radiologists, medical practitioners, AI experts, and members of the Big-Matrix research team.

During the session, speakers highlighted the significance of integrating artificial intelligence with clinical expertise in modern healthcare. They described the initiative as a pioneering effort in Bangladesh, noting that the AI-powered tool developed by NSU and BSH can assist medical experts in conducting faster and more accurate analysis of mammograms. The system is expected to support clinicians in making timely and informed decisions, particularly in complex or critical diagnostic cases.

Prof. Shazzad Hosain, Dean of NSU-SEPS, said that the collaboration between academia and healthcare institutions reflects a growing commitment to leveraging artificial intelligence to improve diagnostic accuracy and enhance patient care in Bangladesh. The newly introduced system is expected to contribute significantly to early detection efforts, which remain crucial in reducing the mortality rate associated with breast cancer.

Speaking at the event, Professor Dr. Monir Uddin, the team leader of the Big-Matrix Lab, emphasized the project’s broader vision. He stated that the research team aims to further expand the system into a comprehensive platform capable of supporting early cancer prediction, treatment planning, and patient progress monitoring.

The initiative marks an important step toward integrating advanced computational technologies with clinical practice, paving the way for smarter, data-driven healthcare solutions in the country.

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