The study titled - To evaluate the diagnostic accuracy of artificial intelligence-based coronary CT software in coronary artery disease is being conducted by Dr Anandamoyee Dhar and Dr Bharat Aggarwal at Max Super Speciality Hospital Saket with Siemens Healthcare Pvt Ltd as the sponsor. The aim of the study is to find out how accurately an AI-powered software can detect and describe blockages and other issues in heart arteries using Coronary CT Angiography (CCTA) when compared with human radiologists. Since heart diseases, especially coronary artery disease (CAD), are a leading cause of death worldwide, early and accurate detection plays a crucial role in preventing complications. The study uses data from 1,000 CT angiography scans performed between August 2020 and June 2025 at Max Hospital. It is a retrospective study, meaning that previously collected scan data will be analysed. The AI software will assess the calcium levels, type of plaque, degree of artery narrowing (stenosis), and assign a risk score using the CAD-RADS system, while its performance will be compared with that of expert radiologists. Only complete, good-quality scans done on Siemens machines will be included, and cases with incomplete data, heart surgeries, or very high calcium levels will be excluded. The study poses minimal risk to patients as it only uses anonymized records without personal identifiers, and no direct contact with patients will occur. Ethical approval is obtained from the institutional ethics committee, and patient confidentiality will be strictly maintained. The results will help determine whether AI can improve the speed and accuracy of diagnosing coronary artery disease and will be published in national and international medical journals.