Artificial Intelligence (AI) is revolutionizing healthcare by streamlining processes, improving diagnostic accuracy, and enabling early disease risk prediction. AI algorithms can analyze large volumes of electronic health records, medical images, and genetic data rapidly, identifying disease markers that may be missed by human clinicians. In hospitals and clinics, AI supports clinical decision-making, personalizes patient care, and accelerates research and drug development. Automated systems also optimize administrative tasks, reduce costs, and enable more efficient resource allocation.
Within Cardiology, AI’s role is especially transformative. AI-powered tools are used to detect heart disease, analyze echocardiograms, classify heart sounds, and predict the risk and severity of cardiac events. These systems can outperform or match human clinicians in diagnosing conditions like coronary artery disease and heart failure, as shown in Mayo Clinic studies and machine learning models that achieve predictive accuracies above 90%. Wearable AI devices allow for continuous monitoring, enabling earlier interventions for at-risk patients. Additionally, AI is pivotal in creating tailored treatment plans and in remote monitoring, which improves outcomes and access. Despite remarkable benefits, challenges remain regarding ethics, data privacy, and algorithm bias. Still, AI’s increasing integration promises a future of more equitable, effective, and proactive cardiovascular care.
Our Speaker
Dr. Philip Koh Siam Soon
Cardiologist
Dr. Philip Koh Siam Soon is a cardiologist at The Heart Clinic @ Farrer. Dr. Koh’s specialty interests are cardiac catheterisation, chest pain treatment, coronary angiogram, coronary angioplasty/bypass surgery and pacemaker implantation.
