Statistical performance review on diagnosis of leukemia, glaucoma and diabetes mellitus using AI.

The growth of artificial intelligence (AI) in the healthcare industry tremendously increases the patient outcomes by reshaping the way we diagnose, treat and monitor patients. AI-based innovation in healthcare include exploration of drugs, personalized medicine, clinical diagnosis investigations, robotic-assisted surgery, verified prescriptions, pregnancy care for women, radiology, and reviewed patient information analytics. However, prediction of AI-based solutions are depends mainly on the implementation of statistical algorithms and input data set.

Sigma metric analysis of quality indicators across the testing process as an effective tool for the evaluation of laboratory performance.

Background: Laboratories across the world are successfully using quality indicators (QIs) to monitor their performance. We aimed to analyze the effectiveness of using the peer group comparison and statistical tools such as sigma metrics for periodic evaluation of QIs and identify potential errors in the preanalytical, analytical, and postanalytical phases.

Methods: We evaluated the monthly QIs for 1 year.

Comparative Assessment of ADA, IDRS, and FINDRISC in Predicting Prediabetes and Diabetes Mellitus in South Indian Population.

 Diabetes risk-screening tools are validated and implemented across various countries. There is a need for improvement in these risk scores with suitable modifications so as to make them more sensitive, specific, and suitable to the local population.  The aim of this study was to evaluate and compare the diagnostic accuracy and clinical utility of the Indian diabetes risk score (IDRS), the American diabetic association (ADA) risk score, and the Finnish Diabetes Risk Score in healthy subjects of South Indian origin in predicting the risk of diabetes and to correlate these risk scores with the blood glucose and hemoglobin A1c (HbA1c) levels in the study population.

Prevalence of catastrophic health expenditure and its associated factors, due to out-of-pocket health care expenses among households with and without chronic illness in Bangalore, India: a longitudinal study.

Background: India, one of the economic powerhouses of the world, is lacking in health development.Moreover, it is facing 'Triple burden of disease'. Indians have one of highest proportion of out-of-pocket (OOP) health expenses.

Role of cytology in fibroadenoma with clinging carcinoma.

Fibroadenoma is the most common benign breast tumor in adolescent girls and young women with a peak incidence in the second and third decades of life. Carcinoma arising within a fibroadenoma is rare and is usually discovered incidentally. We describe a case of clinging type of ductal carcinoma in situ (DCIS) arising within a fibroadenoma.