“…The application of AI has expanded prominently in the medical field due to advances in computing power, learning algorithms, data storage, and the availability of large-high-quality data sourced from electronic medical records and wearable health trackers [1,2]. Although its adoption is still in early phases, AI has been extensively used across many fields in medicine such as radiology [6,7], cardiology [8][9][10][11], dermatology [12][13][14][15], ophthalmology [16,17], neurology [18,19], oncology [20,21], gastroenterology [22,23], and respiratory medicine [24]. Some examples of clinical applications that have been approved by the US Food and Drug Administration (FDA) include Arterys for cardiac magnetic resonance image analysis, Idx for detection of diabetic retinopathy, and Mam-moScreen for breast cancer screening [25,26].…”