PGIMER Innovates AI Model for Early Detection of Gallbladder Cancer
PGI combines AI and ultrasound for early gallbladder cancer detection
The Times Of IndiaImage: The Times Of India
Researchers at the Post Graduate Institute of Medical Education and Research (PGIMER) in Chandigarh, India, have developed an artificial intelligence model that detects gallbladder cancer using routine ultrasound images. This breakthrough aims to improve early diagnosis, particularly in rural areas where expertise is limited.
- 01The AI model analyzes multiple ultrasound images from the same patient to provide a comprehensive cancer diagnosis.
- 02Dr. Pankaj Gupta led the research team, which published their findings in 'The Lancet Regional Health – Southeast Asia.'
- 03Gallbladder cancer is particularly prevalent among women in northern India, often linked to gallstones.
- 04The system not only diagnoses but also highlights specific areas in the ultrasound images that influenced its decision.
- 05A user-friendly application has been developed to make this AI tool accessible to healthcare professionals across India.
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A team of researchers at the Post Graduate Institute of Medical Education and Research (PGIMER) in Chandigarh, India, has made significant strides in the early detection of gallbladder cancer through an innovative artificial intelligence (AI) model. Led by Dr. Pankaj Gupta from the department of radiodiagnosis and imaging, the study was published in The Lancet Regional Health – Southeast Asia. The AI model utilizes routine ultrasound images to accurately identify gallbladder cancer, a condition that poses a serious health risk, especially for women in northern India, where gallstones are a primary risk factor. The model distinguishes itself by analyzing multiple ultrasound scans from the same patient, providing a more reliable diagnosis along with a probability score. This feature allows local doctors to confirm the findings by highlighting specific visual areas that contributed to the diagnosis. The model's effectiveness was validated using data from four major hospitals across the region. To enhance accessibility, a user-friendly application has been developed, allowing healthcare professionals nationwide to utilize this technology. The PGIMER team plans to further validate the model through prospective clinical trials and integrate it into routine hospital ultrasound workflows.
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This AI model could significantly enhance early detection of gallbladder cancer in rural areas, potentially saving lives by allowing for earlier treatment.
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