Researchers at the Malviya National Institute of Technology (MNIT) in Jaipur, India have made a groundbreaking advancement in combating silicosis, an occupational lung disease caused by inhaling silica dust. The team has successfully developed a portable device powered by artificial intelligence (AI) that promises early detection of silicosis, offering a potential lifeline to individuals at risk, especially in mining regions in Rajasthan.
Early Detection with AI Technology:
Silicosis is a progressive lung disease prevalent in industries like mining, construction, and sandblasting, where workers are exposed to silica dust. Recognizing the critical need for early detection, the MNIT research team, led by Assistant Professor Kuldeep Singh, has created a portable instrument that utilizes AI technology to analyze chest X-rays. This innovative device not only identifies silicosis but also highlights the affected areas of the lungs.
Versatility and Accessibility:
Singh emphasized the adaptability of the device, which can be seamlessly interfaced with a digital X-ray machine. Furthermore, the device offers flexibility by allowing the use of a pen drive or camera for capturing chest X-ray images. This versatility enhances accessibility and ease of implementation, particularly in regions where advanced medical equipment may be limited.
Sponsored by the State Government:
The project received sponsorship from the state government’s Department of Specially-abled Persons, showcasing the commitment to addressing occupational health challenges. The collaborative effort involved Prof Rajesh Kumar from the Department of Electrical Engineering, Satyendra Singh Chouhan from the Department of Computer Science, and researcher Faisel Mushtaq.
Future Initiatives:
With successful device development, the research team is now actively seeking collaborations with medical institutions in the state. Their aim is to set up camps near mining sites for comprehensive testing, bringing early detection closer to the individuals most susceptible to silicosis.
The AI-powered portable device developed at MNIT Jaipur represents a significant stride in the early detection of silicosis. By harnessing the power of AI to analyze chest X-rays, this device offers a practical solution that can be deployed in remote areas and workplaces where the risk of silicosis is high. As the team collaborates with medical institutions for further testing, the potential impact of this innovation on silicosis prevention and control is immense, promising improved outcomes and enhanced quality of life for workers in high-risk industries.
