New Delhi: A groundbreaking development in the fight against oral cancer has been achieved through the creation of the world’s first AI-driven oral cancer database by a Kashmiri scientist at Jamia Millia Islamia (JMI) in Delhi. This significant advancement aims to enhance the accuracy and speed of oral cancer diagnoses, particularly benefiting areas with limited medical infrastructure.
According to Kashmir Media Service, the innovative project was developed at JMI’s Multidisciplinary Centre for Advanced Research and Studies (MCARS) by PhD scholar Nisha Chaudhary, under the guidance of Dr. Tanveer Ahmad, a distinguished Kashmiri scientist. The database is set to be published in the prestigious Scientific Data journal by the Nature Publishing Group and focuses on oral submucous fibrosis (OSMF) and oral squamous cell carcinoma (OSCC), two major forms of oral cancer.
This new dataset, which includes contributions from leading Indian medical institutions, is designed to improve early diagnosis of oral cancer by leveraging artificial intelligence to enhance diagnostic speed and accessibility. This is particularly crucial for underserved regions, where healthcare resources and specialized medical personnel might be scarce.
Dr. Tanveer Ahmad, the senior author of the study, highlighted the global relevance of this work, which has already attracted international attention: “This is the first comprehensive database of its kind in the world. The response from the international research community has been extraordinary, with numerous researchers expressing interest in using our database and AI tool for advancing their own studies in digital pathology.”
Senior author Akhilanand Chaurasia, an expert in Oral Medicine and Radiology, also praised the development, noting its potential to significantly enhance patient outcomes through improved diagnostic practices.
The creation of this database not only marks a major milestone in oral cancer research but also showcases the potential of AI in transforming healthcare practices globally.