UNM Lecturers' Research on AI for Early Digestive Disease Detection Secures National Grant

Universitas Nusa Mandiri (UNM) lecturers have secured national research funding for an innovative project utilizing artificial intelligence to detect gastrointestinal diseases early. The research team, led by Taopik Hidayat, received a grant from the Ministry of Education, Higher Education, Science, and Technology for their work on developing an adaptive GIVisNet model.

This AI-driven initiative aims to enhance diagnostic accuracy and expedite the identification of digestive system abnormalities. By analyzing medical images, the GIVisNet model is expected to become a decision-support system for healthcare professionals, leading to more precise and timely patient care. The project aligns with the growing need for digital health technologies in the current era of digital transformation.

The research involves a collaborative effort between lecturers Nurul Khasanah, Faruq Aziz, and Daniati Uki Eka Saputri, alongside two students from the Data Science and Informatics programs. This interdisciplinary approach embodies the university's commitment to integrating education, research, and innovation.

"The use of Artificial Intelligence in healthcare has great potential to assist medical professionals in early detection more quickly and accurately," stated Taopik Hidayat. "Through the development of the adaptive GIVisNet model, we hope to produce an innovation that not only contributes scientifically but also provides real benefits to the community and the health sector."

Andi Saryoko, head of UNM's Research and Community Service Institute (LPPM), praised the team's success, highlighting the increasing quality of research culture at the university. He emphasized that the funding achievement demonstrates the faculty's capacity to produce high-quality, innovative, and relevant research, with LPPM committed to fostering more technology-based research, including AI, that benefits society.