ISys Research Group

ISysResearch Group

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The Artificial Intelligence-Medical Center of Excellence (AIMed CoE) is a leading center of excellence initiated by Universitas Sriwijaya, Indonesia. It houses Intelligent System research group (ISysRG), which is dedicated to advancing the field of artificial intelligence in medicine through interdisciplinary collaboration and innovation. AIMed CoE aims to develop AI-based technological solutions for the arly screening (detection) of non-communicable diseases that are accurate, efficient, ethical, and usable by non-specialist healthcare workers in primary care settings, through a mobile platform integrated with telemedicine.

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About Us

The AIMed Center of Excellence 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 AIMed Center of Excellence creates intelligent systems across various fields, including computer systems, biomedicine, natural language processing, and others.

The AIMed Center of Excellence 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.

Our Products

AI Solutions for Diagnostic Confidence

Mobile phone-based technology that utilizes an AI model to detect precancerous cervical lesions using cervicography data.

Medical Recording
Cervical Pre-Cancer Segmentation
Validation Treatment
Medical Rule Pediction Result
Chatting with Consultant Doctor

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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.