Aster CMI hospital and IISc. to launch artificial intelligence lab in Bengaluru
The Hindu
The lab has been set up to build cutting edge AI products in the healthcare domain, and bridge the gap between clinical medicine and technology by training healthcare professionals in AI
To understand disease patterns and improve treatment outcomes using artificial intelligence (AI) tools, Aster CMI Hospital has joined hands with the Indian Institute of Science (IISc.) to launch an AI lab.
The lab has been set up to build cutting edge AI products in the healthcare domain, and bridge the gap between clinical medicine and technology by training healthcare professionals in AI.
The lab was launched by Azad Moopen, founder Chairman and Managing Director, Aster DM Healthcare; Lokesh B., Consultant Neurology at the hospital; and Phaneendra K Yalavarthy, Professor of Medical Imaging, Department of Computational and Data Sciences, IISc.
Aster CMI will work with Prof. Phaneendra K Yalavarthy and his team on ‘Development of Deep Learning Methods for Automated Tracking and Segmentation of Nerves in Ultrasound Images’.
Sriram Ganapathy, Associate Professor, Department of Electrical Engineering, IISc. has been collaborating on ‘Automatic Acute Stroke Symptom Detection Using Mobile Health Technologies’ and also on audio analytics in neurological disorders. Aster CMI believes that these initial projects have a direct impact on the current clinical practice in neurosciences.
At the launch, Dr Moopen said, “With the use of AI, doctors and medical providers will now be able to deliver more accurate diagnosis in the fastest possible time, which can aid the treatment journey. Also, AI would be a big leap towards predictive and proactive data analytics, which will improve preventive care recommendations for patients. We are glad to partner with IISc.”
Prof. Phaneendra K Yalavarthy, who has been instrumental in setting up the lab by providing the computational infrastructure and expertise, said, “AI-powered medical technologies have been rapidly evolving and have become powerful adjunct tools in clinical practice. The broad spectrum of digital medicine, especially to enable the 4P model of medicine (Predictive, Preventive, Personalised, and Participatory) involves natural collaboration between academic institutions and medical institutions.”
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