IISc. & Aster CMI Hospital launch an AI lab in Bangalore

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Indian Institute of Science (IISc.)





The lab was created to develop cutting-edge artificial intelligence (AI) products in healthcare and to bridge the gap between clinical medicine and technology by training healthcare professionals in AI. Aster CMI Hospital has collaborated with Indian Institute of Science (IISc.) to establish an AI lab to better understand disease patterns and improve treatment outcomes through the use of tools artificial intelligence (AI).












The lab was created to develop cutting-edge artificial intelligence (AI) products in healthcare and to bridge the gap between clinical medicine and technology by training healthcare professionals in AI.

Helped in start the lab.

Professor Phaneendra K Yalavarthy and his team will collaborate with Aster CMI on the “Development of deep learning methods for automated tracking and segmentation of nerves in ultrasound images”.

Sriram Ganapathy, Associate Professor in the Department of Electrical Engineering at IISc, worked on a project titled “Automatic Detection of Acute Stroke Symptoms Using Mobile Health Technologies” as well as Audio Analysis of Disorders neurological. Aster CMI believes that these initial projects will have a direct impact on the current practice of clinical neuroscience.












“Through the use of AI, physicians and medical providers will now be able to provide a more accurate diagnosis in the shortest possible time, which can ease the treatment journey,” said Dr. Moopen at the launch. Additionally, AI would be an important step towards predictive and proactive data analysis, which would improve preventive care recommendations to patients. We are delighted to collaborate with IISc.

“AI-based medical technologies are rapidly evolving and have become powerful complementary tools in clinical practice,” said Professor Phaneendra K Yalavarthy, who was instrumental in establishing the lab by providing computing infrastructure and expertise.

The broad field of application of digital medicine, in particular to enable the 4P model of medicine (predictive, preventive, personalized and participatory), requires a natural collaboration between academic institutions and medical institutions.

According to him, the AI ​​lab is a collaborative effort to develop these AI technologies in the hospital setting so that the translation into the clinic is seamless. The initial focus of the collaborative laboratory will be neurology, and it will then be extended to other clinical specialties.












“We are grateful to Aster CMI for allowing us to establish this lab in their hospital to collaborate in the development of some of these AI technologies for healthcare. “With a focus on bedside translation, this collaborative lab will enable the development of high-impact research and technology,” he said.






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