JMI Develops World’s First AI Driven Oral Cancer Database; Details Here
The Multidisciplinary Centre for Advanced Research & Studies's research team of Jamia Millia Islamia has developed a groundbreaking dataset to enhance the precision and efficiency of interpreting oral submucous fibrosis.
Jamia Millia Islamia (JMI) has achieved a significant advancement in the field of Artificial Intelligence (AI) & digital pathology through the development of groundbreaking dataset progressive for tomorrow. The research team of the Multidisciplinary Centre for Advanced Research & Studies (MCARS) have created a dataset in order to attain enhance the correctness and effectivity of diagnosing oral submucous fibrosis (OSMF) and oral squamous cell carcinoma (OSCC).
“Our dataset is a significant step towards making early diagnosis of oral cancer faster, more accurate, and accessible to everyone, especially in regions with limited pathology resources,” said Chaudhary.
Dr. Tanveer Ahmad, the study’s senior author, explains the achievement saying “This is the first such extensive database in the world, and the response has been overwhelming. Researchers across the globe are requesting access to our database and AI tool to further their own studies in digital pathology.”
The study was led by student Nisha Chaudhary under the supervision of Dr. Tanveer Ahmad. The scientific data would be published accordingly in the prestigious Nature Publishing Group. Through this tool, the accurate detection and monitoring the progression of oral cancer would be achieved through digital portraits, operating a comprehensive dataset of more than 300,000 high-resolution tissue prints by having more than 1 million images screened.
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Mayank Uniyal is a seasoned academic content creator at shiksha.com. Having a master's degree in International Business, he is creating content across several domains including CUET, Medicine and Universities. Apart... Read Full Bio