Singapore General Hospital's AI2D model, developed with DXC Technology, aims to reduce unnecessary antibiotic use and improve prescription accuracy for pneumonia cases, potentially cutting review cases by three times and identifying intervention needs more effectively. The model, trained on 8,000 SGH patients' data, demonstrated 90% accuracy in determining antibiotic necessity, suggesting 40% of prescriptions might be unnecessary. This initiative is crucial as pneumonia accounts for 20% of infections at SGH, with significant healthcare costs and risks of antimicrobial resistance.