There are numerous efforts on technical development and translation of AI/ML in the healthcare domain. In addition to some of the classic challenges such as small datasets, limited annotations, imbalanced classes, how to gain and enhance trust from the users and practitioners of medical AI/ML is an emerging topic and key for successful applications of AI to patient care. In this talk, the speaker will elaborate what are the important pillars in developing trustworthy medical AI tools, how to marry medical intelligence and AI to enhance trust from clinicians, and showcase a range of applications of AI/ML in medical imaging.