Using artificial intelligence-based models to predict the risk of mucormycosis among COVID-19 survivors: An experience from a public hospital in India.

Introduction: India reported a severe public health challenge not only due to the COVID-19 outbreak but also the increasing number of associated mucormycosis cases since 2021.This study aimed at developing artificial intelligence based models to predict the risk of mucormycosis among the patients at the time of discharge from hospital.

Methods: The dataset included of 1229 COVID-19 positive patients, and additional 214 inpatients, COVID-19 positive as well as infected with mucormycosis.

Audiological profile in older children and adolescents with unrepaired cleft palate.

Objective: To study the audiological profile in the cleft population comprising older children and adolescents with unrepaired cleft palate and to arrive at a consensus regarding management of otitis media with effusion in this unique group.

Setting: Tertiary care institute in Chandigarh, Punjab, India.

Design: Prospective study based on all patients older than 7 years with unrepaired cleft palate, attending the plastic surgery outpatient department, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, Punjab, India, from January 2001 to December 2002.

Influence of socioeconomic status on lung function and prediction equations in Indian children.

The present study was carried out to assess the influence of socioeconomic status on lung functions and to suggest prediction equations for Indian children. For this purpose, 2,616 normal, healthy schoolchildren aged between 5-15 years were recruited. Boys were classified into three groups, i.

Pulmonary function tests in Indian girls--prediction equations.

Objective: The present study was conducted to evaluate pulmonary functions and develop prediction equations in Indian girls.

Methods: 1038 normal healthy schoolgirls in the age group of 5 to 15 years were selected for the present study. The anthropometrical parameters like height, weight, sitting height and chest circumference were measured and body surface area (BSA) and fat free mass (FFM) were derived using equations.