In Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India
Computer-based medical diagnosis expert systems are considered both accurate and educationally helpful in most cases. Dizziness and vertigo are among the most common complaints however E.N.T. surgeons and neuro-otologists are not available in the peripheral areas. Computer-Aided Diagnosis In NeurOtology (CADINO) can be of immense value for these unprivileged dizzy patients of remote and rural areas. The study aimed to document the strength, weaknesses and capabilities of CADINO in terms of accuracy, educational usefulness, functionality and effectiveness. Design Hospital-based observational study of a diagnostic tool. Settings Otorhinolaryngology Department of a tertiary care medical college hospital. This prospective study was conducted in 70 patients, 24 simulated cases and 6 case reports from journals. The study included even the feedback of the clinicians before and after consultation. Eleven ENT residents, 14 ENT surgeons [8 teachers and 6 consultants] participated in the study. The overall diagnostic accuracy of the CADINO was found 86%. While in the patients, CADINO accuracy was found 84% approximately similar to faculties/consultants (80%) but it was significantly better than that of residents (57%). Most of the clinicians (84%), rated the CADINO consultation as being educationally helpful, and useful for patient management. CADINO was found very effective and convenient as it could be operated in the OPD simultaneously while evaluating the dizzy patients. CADINO provided accurate diagnostic suggestions. It was found improving patient safety and quality of care by enhancing knowledge and cognitive skills of the clinicians.
Bansal Mohan
2022-Dec
Artificial intelligence, Dizziness, Expert systems, Knowledge-based systems, Medical informatics, Vertigo
