While this technology shows promise, we must proceed with extreme caution before integrating AI-driven risk scores into clinical practice. The model relies heavily on electronic health records that may contain biases and incomplete data, potentially leading to inaccurate risk assessments that could harm patients. Without extensive validation across diverse populations and long-term outcome studies, these AI predictions could create false confidence in medical decision-making where human judgment and established clinical guidelines should prevail.