Computer Vision in Healthcare: Diagnostics and Monitoring
Computer Vision in Healthcare: Diagnostics and Monitoring Computer vision uses artificial intelligence to interpret images and video from healthcare settings. It can help clinicians make faster, more accurate decisions and support safer patient care. When paired with expert review, it can reduce workload and free time for direct patient contact. The field blends medical knowledge with data science to translate complex patterns into practical insights. Diagnostics through imaging: Many hospitals already use AI to analyze X-rays, CT scans, and MRIs. Systems highlight areas of concern, quantify changes over time, and flag cases that need a human review. This can speed up triage in busy departments and improve consistency across shifts. In radiology, accuracy is checked against ground truth from experienced radiologists, and AI can aid second opinions. ...