UNAIR NEWS Artificial intelligence (AI) is becoming a major focus in global healthcare transformation. Recognizing this urgency, Graha Masyarakat Ilmiah Kedokteran (GRAMIK), Faculty of Medicine (FK), 51动漫 (UNAIR) held a guest lecture titled Artificial Intelligence in Healthcare: From ChatGPT to Baymax, The Singapore Perspective. The event took place on Wednesday (February 25, 2026) via zoom meeting.
Opening the event, Dr Dwiyanti Puspitasari dr DTMH MCTM (TP) SpA(K) said that the medical field is at a turning point that requires readiness to face rapidly advancing technology. According to Dr. Puspitasari, the current generation of physicians holds a strategic role in bridging this transformation.
淲e are no longer merely doctors in training or practitioners in the field. We are the generation that bridges traditional stethoscopes and advanced AI-based algorithms. The future of healthcare is being built today, and this is the time for us to understand its direction and blueprint, Dr. Puspitasari said.
AI development
As keynote speaker, Lou Xuanming BEng PhD, a lecturer at Singapore University of Technology and Design (SUTD), began his presentation by explaining that AI is essentially a technology that simulates human intelligence through data analysis. Machines can recognize patterns, make predictions, and assist in decision-making. However, Xuanming emphasized that AI operates based on probability rather than human-like understanding.
According to him, AI development in healthcare is advancing rapidly, particularly in Singapore. 淎I and healthcare are evolving very quickly worldwide. In Singapore, almost every day brings something new. Even I continue learning because changes happen so fast, Xuanming said.
Xuanming PhD then cites Baymax as an ideal representation of future healthcare services. The robot is capable of scanning, diagnosing, and providing empathetic support. Although still fictional, several elements are beginning to become reality, such as the use of AI in X-ray and MRI interpretation as well as large language models (LLMs) for medical data processing.
Implementation and challenges
Further, Xuanming PhD explains how AI is implemented concretely in Singapore檚 healthcare system. One example is an automated medical documentation system that helps doctors focus on patients without being preoccupied with typing. 淧atients often feel that doctors are too focused on the screen. With AI, conversations can be automatically transcribed and summarized into structured medical reports, ensuring that interaction remains intact, Xuanming said.
In addition to supporting clinical administration, AI is also used in the diagnostic process. In Singapore, computer vision-based technology is used to detect diabetic retinopathy through fundus imaging. With the help of algorithms, analysis that previously takes days now takes only minutes. This development is considered capable of improving efficiency while accelerating medical intervention.
However, Xuanming emphasizes that the acceleration of innovation must be balanced with regulatory readiness, data quality, and ethical considerations. 淎I is not a substitute for doctors, but a partner in improving service quality. Humans still possess empathy, observational skills, and reasoning that machines cannot replace. AI helps accelerate processes, but final decisions remain in human hands, Xuanming concluded.
Author: Fania Tiara Berliana M
Editor: Yulia Rohmawati
