AI Technology Supports Lung Cancer Screening and Diagnosis
Jakarta (ANTARA) - The use of artificial intelligence (AI) technology is considered to be able to help doctors detect lung cancer early by marking nodules or small lumps in the lungs that have the potential to develop into malignancy.
“In chest X-ray examinations, AI-based systems can help mark areas suspected of being lung nodules that require further evaluation through CT scans for more detailed characterization,” said Radiologist Specialist, dr. Dewi Tantra Hardiyanto, Sp.Rad, at the World Cancer Day Media Conference entitled ‘Transformation of Cancer Screening and Diagnosis with AI’ in Jakarta, Wednesday.
This detection, according to Dewi, allows patients to be directed more quickly and accurately for further examination.
In the collaboration event between AstraZeneca Indonesia and Siloam International Hospitals, she said that in chest X-ray examinations, AI-based systems can help mark areas suspected of being lung nodules for further evaluation using CT scans.
Dewi also explained that not all lung nodules are cancerous. Some nodules are benign and do not require aggressive action. Doctors will assess the shape, size, and patient’s risk factors to determine the level of suspicion, with clinical decisions remaining in the hands of medical personnel.
Meanwhile, Thoracic Oncology Subspecialist, dr. Sita Laksmi Andarini, Ph.D., Sp.P(K), said that screening with the help of AI can help the process of detecting lung cancer more efficiently, especially in identifying nodules that have the potential to be malignant at an early stage.
“In this case, the process of screening for lung diseases, especially lung cancer, with the help of AI technology can help doctors to carry out detection more efficiently,” said the doctor who is a member of the Indonesian Oncology Association of DKI Jakarta.
Based on GLOBOCAN 2020 data, lung cancer ranks third as the type of cancer with the largest number of new cases in Indonesia. Many cases are diagnosed at an advanced stage because the initial symptoms are often not specific or resemble common respiratory disorders.