Mohammed Ishaque

Papers

Total Citations

102

H-Index

About

Mohammed Ishaque is a researcher at the forefront of applying artificial intelligence to critical public health challenges, with a primary focus on the detection and prediction of infectious diseases. His most impactful work centers on leveraging AI applications for COVID-19 diagnostics, as demonstrated by his highly cited 2023 paper, "Detection of Covid-19 Using AI Application," which has garnered 96 citations. This study explores the use of machine learning models to rapidly and accurately identify SARS-CoV-2 infections, addressing the urgent need for scalable screening tools during the pandemic. Ishaque’s contributions extend to predictive modeling, as seen in his related work, "Prediction of Covid-19 Using Artificial Intelligence Applications," which further investigates AI’s role in forecasting disease spread and outcomes. By integrating computational methods with epidemiological data, his research offers practical solutions for early intervention and resource allocation. Ishaque’s work is particularly notable for its real-world applicability, aiming to reduce diagnostic delays and improve public health responses. His growing citation record underscores the relevance of his findings to both the AI and medical communities, positioning him as a key contributor to the intersection of technology and healthcare.