Generalization of Artificial Intelligence Models in Medical Imaging: A Case-Based Review

The discussions around Artificial Intelligence (AI) and medical imaging are centered around the success of deep learning algorithms. As new algorithms enter the market, it is important for practicing radiologists to understand the pitfalls of various AI algorithms. This entails having a basic understanding of how algorithms are developed, the kind of data they are trained on, and the settings in which they will be deployed. As with all new technologies, use of AI should be preceded by a fundamental understanding of the risks and benefits to those it is intended to help. This case-based review is intended to point out specific factors practicing radiologists who intend to use AI should consider

Utilization of Educational Videos to Improve Communication and Discharge Instructions

Introduction: When discharging a patient from the emergency department (ED), it is crucial to make sure that they understand their disposition and aftercare instructions. However, numerous factors make it difficult to ensure that patients understand their next steps. Our objective was to determine whether patient understanding of ED discharge and aftercare instructions could be improved through instructional videos in addition to standard written discharge instructions.Methods: This was a prospective pre- and post-intervention study conducted at a single-center, academic tertiary care ED. Patients presenting with the five selective chief complaints (closed head injury, vaginal bleeding, laceration care, splint care, and upper respiratory infection) were given questionnaires after their discharge instructions to test comprehension. Once video discharge instructions were implemented, patients received standard discharge instructions in addition to video discharge instructions and were given the same questionnaire. A total of 120 patients were enrolled in each group.Results: There were significantly better survey scores after video discharge instructions (VDI) vs standard discharge instructions (SDI) for the closed head injury (27% SDI vs 46% VDI, P = 0.003); upper respiratory infection (28% SDI vs 64% VDI; P < 0.0001); and vaginal bleeding in early pregnancy groups (20% SDI vs 60% VDI, P < 0.0001). There were no significant differences in survey scores between the splint care (53% SDI vs 66% VDI; P = 0.08) and suture care groups (29% SDI vs 31% VDI; P = 0.40).Conclusion: Video discharge instructions supplementing standard written instructions can help improve patient comprehension and information retention. This better understanding of aftercare instructions is essential to patient follow-up and has been shown to improve patient outcomes