Methods and systems for determining a diagnostically unacceptable medical image. One system includes at least one electronic processor configured to receive a new medical image captured via a medical imaging device. The at least one electronic processor is also configured to determine a classification of the new medical image using a model developed with machine learning using training information that includes a plurality of medical images and an associated classification for each medical image, each associated classification identifying whether the associated medical image is diagnostically unacceptable, wherein the classification of the new medical image indicates whether the new medical image is diagnostically unacceptable. The at least one electronic processor is also configured to, when the classification indicates that the new medical image is diagnostically unacceptable, prompt a user of the medical imaging device to adjust a parameter associated with the new medical image and recapture the new medical image.