The present disclosure provides systems and methods for Al model(s) that are trained to identify characteristics associated with lesions within a
blood vessel and provide a suggested procedure associated with the
lesion. The Al model may receive, as input, intravascular and / or extraluminal image data associated with the
blood vessel and provide, as output, characteristics, e.g., characterizations, associated with the
blood vessel. The characterizations may include, for example, form or tissue nature (e.g.,
microcalcification, punctate, fragment, sheet, nodular, or otherwise), location within the vessel (e.g., intimal, superficial, medial, deep, etc.), size (e.g., length, depth, thickness, etc.), severity, and / or the like. The characterizations may be used as input to the same and / or a different model for providing a suggested procedure associated with the
lesion. The suggested procedure may include, for example, orbital
atherectomy, intravascular
lithotripsy,
rotational atherectomy,
cutting and / or scoring balloons, and / or the like.