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JMI Unveils World’s First AI-Powered Oral Cancer Database

NextEdge Admin

04 Sep 2024

2 min 22 sec

A groundbreaking advancement in AI and digital pathology has emerged from the Multidisciplinary Centre for Advanced Research & Studies (MCARS) at Jamia Millia Islamia (JMI). Led by Ph.D. student Nisha Chaudhary under the guidance of Dr. Tanveer Ahmad, the research team has developed the ORCHID (Oral Cancer Histology Image Database), an extensive dataset aimed at improving the diagnosis of oral submucous fibrosis (OSMF) and oral squamous cell carcinoma (OSCC). This study, soon to be published in *Scientific Data* by the Nature Publishing Group, represents a significant leap forward in oral cancer diagnostics.

The ORCHID dataset includes over 300,000 high-resolution tissue images, meticulously collected from hospitals across India, such as the Ranchi Institute of Medical Sciences, AIIMS, Maulana Azad Institute of Dental Sciences, and Banaras Hindu University. The dataset, protected by two patents, has attracted global interest, with researchers eager to leverage the AI-driven tool for their studies in digital pathology.

Miss Nisha Chaudhary emphasized the importance of making early oral cancer diagnosis faster and more accessible, especially in regions with limited pathology resources. Dr. Tanveer Ahmad and Dr. Akhilanand Chaurasia highlighted the global impact of this pioneering database, which sets a new standard in AI-based cancer diagnostics.

Professor Mohammad Husain, Director of MCARS, expressed pride in the team's achievement, noting that this AI database will be invaluable to researchers worldwide. The study marks a significant milestone in integrating AI into clinical diagnostics, especially in resource-limited settings.