Improving pre-bariatric surgery diagnosis of hiatal hernia using machine learning models.
Dan AssafShlomi RaymanLior SegevYair NeumanDouglas ZippelDavid GoiteinPublished in: Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy (2021)
Implementing machine learning derived prediction models enabled an increase of up to 1.5 times of the baseline diagnostic sensitivity. By harnessing this ability, we can improve traditional medical diagnosis, increasing the sensitivity of preoperative diagnostic workout.