Generative AI cuts lung cancer analysis time by 70% in new clinical study


 Artificial Intelligence is delivering real clinical benefits in Indian healthcare, moving far beyond just technical buzzwords. In a recent industry update, Ganesh Nathella of Persistent Systems shared how Generative AI is revolutionizing diagnostics. He revealed that their advanced platform has successfully reduced the time required to analyze lung cancer images by nearly 70%. This dramatic reduction allows radiologists to process scans much faster, enabling patients to begin life-saving treatments sooner. The technology works by automating the complex task of identifying tumor patterns, which traditionally consumes hours of a specialist's time. 

By embedding these AI models into frontline tools, doctors can identify disease patterns earlier and with greater accuracy. Nathella emphasized that this is about "democratizing healthcare." By running these sophisticated tools on low-resource mobile platforms, advanced cancer screening can now reach remote areas, ensuring that high-quality diagnostics are available to populations that previously lacked access to specialist care.

Read the original article at: https://www.pharmabiz.com/NewsDetails.aspx?aid=182569&sid=1


Follow us on Instagram, Twitter, and Facebook to stay up to date with what's new in healthcare all around the world.

Comments

Post a Comment

Popular posts from this blog

AI meets Spirituality: New initiatives explore digital consciousness and technology's role in moral growth

Image
We usually think of Artificial Intelligence as cold and logical, but new initiatives are exploring how it intersects with the deeply human realm of spirituality. Discussions are emerging around how technology, by handling mundane survival tasks, might free up humanity to focus on "higher" moral and spiritual growth. Some visionaries are even asking profound questions about the nature of consciousness itself: as we build machines that mimic human thought, we are forced to re-examine what it means to have a "soul." One fascinating area of exploration is the "2045 Initiative," which looks at transferring human personality to non-biological carriers, challenging our definitions of life and death. On a more immediate level, developers are experimenting with coding "morality" into AI, trying to teach machines ethical decision-making. These efforts act as a mirror for humanity, compelling us to define our own values more clearly. Rather than replacing s...
Read more

India strengthens pandemic preparedness with a "One Health" approach and robust surveillance systems

Image
Learning hard lessons from the COVID-19 crisis, India is aggressively strengthening its defenses against future health threats. The government is adopting a "One Health" strategy, which recognizes that human health is deeply connected to the health of animals and the environment. This holistic approach is critical because many dangerous viruses, like SARS-CoV-2, jump from animals to humans. By monitoring disease outbreaks in wildlife and livestock alongside human cases, officials aim to spot potential pandemics before they spread. To support this, India is upgrading its disease surveillance systems, investing in advanced labs, and improving data sharing between states. The focus is on creating a responsive network that can detect unusual health patterns early and trigger a rapid response. This shift moves the country from a reactive stance—scrambling after an outbreak hits—to a proactive one. By building a robust infrastructure that integrates human, animal, and environmental...
Read more

IIT Jodhpur researchers develop a low-cost AI algorithm to detect cataracts using near-infrared cameras

Image
Cataracts are a leading cause of blindness in India, often because expensive diagnostic equipment is unavailable in rural areas. Researchers at IIT Jodhpur have developed a brilliant, low-cost solution to this problem. They created an Artificial Intelligence algorithm that can detect cataracts using images from simple near-infrared (NIR) cameras. Unlike traditional exams that require an ophthalmologist and costly slit-lamp microscopes, this AI tool works with affordable hardware that is easy to deploy in remote clinics. The AI is trained to analyze eye images and identify the clouding of the lens that signals a cataract. It specifically targets "non-ideal" images, meaning it works well even when the photo isn't perfect, which is common in field settings. This innovation could revolutionize eye care in underserved regions. By empowering primary health centers with this automated diagnostic tool, patients can be screened locally and referred for surgery much earlier, preven...
Read more