Not A Substitute For Doctors, This Is The Role Of AI In Cancer Treatment

JAKARTA - The development of artificial intelligence (AI) is now not only present in the field of technology, but has also begun to have a major impact on health services. In the world of oncology, AI is used to help diagnose cancer more quickly, read radiology results accurately, and support more targeted cancer therapy planning.

This innovation opens up great opportunities for the implementation of the prevention oncology of treatment strategies that are adapted to clinical conditions, types of cancer, to the genetic character of each patient.

The issue of using AI in the medical field is in the main spotlight at ROICAM 2025. The Head of KSM Hematology Oncology Medical Cancer Hospital Dharmais, Dr. dr. Hilman Tadjoedin, Sp.PD, K-HOM, emphasized that this technology has been included in the practice of cancer services in Indonesia.

"AI can be used to assist the diagnosis process, read radiology results quickly and accurately, to support data-based therapy planning," he explained.

However, he also reminded that technological developments bring new challenges. One of them is the habit of some people who carry out self-diagnosed with AI-based applications.

"In response to patients who often use AI for self-diagnostics, of course, we experts can't deny that this is the case at this time," said dr. Hilman.

According to him, an accurate diagnosis still requires a thorough medical examination.

"In fact, by going to the doctor for treatment and conducting a complete examination, blood, hemoglobin, and so on, the patient can get more accurate clarity. It could be that the patient who initially thought he was seriously ill was straightened out. For example, he thought the HB was 8, it turned out to be still 12 or 13," he added.

Another problem that is also highlighted is the access gap. AI technology in the oncology sector is currently more widely available in major hospitals in key cities. "If we are not careful, it can actually create a service gap. Because high technology is only enjoyed by a handful of people," said dr. Hilman.

Therefore, ROICAM 2025 emphasizes the importance of cross-sectoral collaboration ranging from hospitals, governments, academics, to the technology industry so that digital transformation in cancer treatment can be accessed more evenly.

Public education regarding digital health literacy and medical personnel training is also the key, so that AI is really a useful tool, not just a trend.