Miss Nisha Chaudhary and Dr. Tanveer Ahmad
JMI Creates World’s First AI-Driven Oral Cancer Database
Researchers at Jamia Millia Islamia (JMI) have made a groundbreaking advancement in the field of AI and digital pathology. The team at the Multidisciplinary Centre for Advanced Research & Studies (MCARS) developed the world’s first AI-driven database to improve the accuracy of diagnosing oral submucous fibrosis (OSMF) and oral squamous cell carcinoma (OSCC).
Pioneering Research for Oral Cancer Diagnosis
The study, led by Ph.D. student Miss Nisha Chaudhary under the guidance of Dr. Tanveer Ahmad, is a significant step forward in medical technology. It aims to revolutionize the early detection and monitoring of oral cancer. This innovative AI tool uses over 300,000 high-resolution tissue images to identify and track the progression of oral cancer.
Published in a Prestigious Journal
This research will soon be published in Scientific Data, a journal from the renowned Nature Publishing Group. The dataset, which includes more than 1 million screened images, offers a powerful resource for researchers and medical professionals aiming to improve diagnostic procedures.
Transforming Oral Cancer Detection with AI
The AI-driven tool developed by the Jamia team promises to enhance both the speed and precision of oral cancer diagnosis. By using digital images, it enables healthcare providers to detect abnormalities more effectively, potentially saving lives through early intervention.
