AI-services performance Summary

Fig: Patient Vignette Sample Case

Our Clinical Decision Support System has been validated using our proprietary dataset, which comprises 185 patient vignette cases. These cases encompass diverse age and gender demographics and include a variety of medical conditions such as asthma, heart disease, and hypertension, along with family histories. Each case includes relevant chief complaints and additional symptoms, collectively covering a total of 100 Parent Diseases.

Fig: Gender Distribution

The gender distribution shows that males account for 51% and females for 49%.

Fig: Age Distribution

The age groups are categorized into three sections

  • Group 1: 18-40 years
  • Group 2: 41-60 years
  • Group 3: 61-80 years

Fig: Accuracy Overview

Performance:
We attained an accuracy of 88.64% in Specialization Recommendation and 78.91% in Disease Recommendation

Some diseases, such as Asthma and Chronic Obstructive Pulmonary Disease, Respiratory Infection and Bronchitis etc pose challenges for accurate diagnosis even for medical specialists without additional diagnostic tests.