Artificial Intelligence (AI) has advanced healthcare by improving intelligent medical systems (IMS). However, its use involves risks for patients and healthcare professionals. This paper introduces MED-TAID , a tool designed to support the development of trustworthy IMS. The tool enables ethical risk managment by assessing and quantifying compliance with trustworthy requirements throughout the IMS lifecycle. We evaluated MED-TAID on a ML model for automatically detecting COVID-19 in chest CT scans. Its use has demonstrated that risk assessment on the basis of ethical requirements enables the development of a trustworthy MIS, in particular by integrating explicability methods to reduce the impact of the system's lack of transparency for healthcare professionals.