Sabha Bhatti

OverviewAI-generated summary

Sabha Bhatti's research focuses on cardiovascular disease risk stratification and management, with a particular emphasis on integrating advanced imaging techniques and artificial intelligence. Bhatti has investigated the use of computed tomography coronary calcium scores for coronary artery disease risk assessment in specific patient populations, such as those undergoing liver transplant evaluation. Additionally, Bhatti's work has explored the prognostic value of quantitative coronary computed tomography angiography (CTA) features, comparing artificial intelligence-based assessments with human reader interpretations.

Further research by Bhatti extends to the application of deep learning frameworks for assessing diastolic dysfunction in elderly patients. Bhatti has also contributed to understanding cardiovascular health in diverse global contexts, examining areas such as valvular heart disease care in Pakistan and strategies for advancing acute myocardial infarction care in low- and middle-income countries through innovative chest pain units. Bhatti's publications also address broader health considerations, including the interplay of nutrition, sleep, and alcohol with exercise in combating insulin resistance.

Bhatti holds a high-impact researcher designation, evidenced by an h-index of 23 and over 1,700 citations across 147 publications. Bhatti leads a research group and maintains an active lab website, indicating ongoing scholarly activity. Key collaborators include Mauricio García-Saenz-de-Sicilia, Fuad Habash, Michael Karr, and S. OVIEDO, all affiliated with the University of Arkansas for Medical Sciences.

Metrics

• h-index: 23
• Publications: 147
• Citations: 1,764