We Learn.
The Intelligent Systems Research Group (ISysRG) is based at the Faculty of Computer Science, Universitas Sriwijaya. This research group specializes in the theory and application of systems that understand, reason, learn, and act intelligently.
Research, Medical Interpretation
The research primarily involves developing software, applications, and systems to support medical interpretation, with a focus on medical signal and image processing, medical pattern recognition, and medical record data mining techniques.
The Intelligent System Research Group supports SDG 3 (Good Health and Well-being) by developing AI-driven solutions for better disease detection and healthcare delivery.
It also contributes to SDG 9 (Industry, Innovation and Infrastructure) by fostering technological innovation through research in intelligent systems, promoting sustainable healthcare infrastructure, and collaborating with industry to accelerate the adoption of cutting-edge technologies.
AI Solutions for Diagnostic Confidence
Mobile phone-based technology that utilizes an AI model to detect precancerous cervical lesions using cervicography data.
Leading the Way in Intelligent Technology
We are dedicated to advancing the field of intelligent systems through a variety of research and development activities. Our projects span multiple domains, from medical signal and image processing to data mining and pattern recognition, with a particular focus on applications that understand, reason, learn, and act intelligently.
Explore a curated collection of medical imaging and signal datasets designed to support research in medical interpretation and analysis.
RS Bakti Timah Pangkal Pinang
Humic Engineering, Telkom University
Dinas Kesehatan
Kedaireka
Taudata Analytics
PT Intens
RSUP Muhammad Hoesin
