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<\/p>\nMedical professionals, engineers, scientists and other stakeholders discussed on ways to develop AI-driven solutions that will enhance patient care, optimize clinical processes, and ultimately improve healthcare outcomes at a day-long conference organised at the iHub Anubhuti IIITD Foundation of Indraprastha Institute of Information Technology Delhi (IIIT Delhi) on September 5, 2024.<\/p>\n
In his inaugural address, at the conference on “AI in Healthcare\u201d Bridging the Gap Between Medicine and Engineering, Professor Abhay Karandikar, Secretary Department of Science and Technology (DST) highlighted the potential of the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS) to transform healthcare by integrating expertise from AI, clinical sciences, and basic sciences to harness India\u2019s extensive data sets for improving the access to healthcare.<\/p>\n
Prof. Karandikar emphasised on the critical need for interdisciplinary collaboration to address the country\u2019s overloaded healthcare facilities. \u201cOver the next three years the NM-ICPS aims to recalibrate and synchronize efforts to achieve impactful advancements\u201d, he added.<\/p>\n
This conference was jointly organized by DST and five Technology Innovation Hubs (TiHs) established under NM-ICPS and was co-supported by AIIMS, Delhi. The main aim of the conference was to identify key healthcare challenges, foster interdisciplinary collaboration and explore practical implementation.<\/p>\n
Highlighting the importance of interdisciplinary research under NM-ICPS, Prof. Karandikar urged participants to provide concrete recommendations that can lead to effective interventions for the benefit of the society. \u201cWe will be able to launch an interdisciplinary R&D program which will work at the intersection of engineering, basic sciences, computer scientists, and also the practicing doctors and clinicians,\u201d he added.<\/p>\n
Dr. Ranjan Bose, Director, IIIT Delhi; Dr. Ekta Kapoor, Head, FFT Division, DST; Dr. Pushpendra Singh & Dr. Vikram Goyal, Project Directors, iHub Anubhuti-IIITD Foundation and other domain experts attended the event.<\/p>\n
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Distinguished professionals like Dr. Sandeep Aggarwal, Chairman, Institute of Minimal Access, Bariatric, GI and Robotic Surgery, Manipal Hospitals, Dwarka, New Delhi; Dr. Sanjeev Sinha, AIIMS Delhi; Dr. Saket Choudhary, Koita Centre for Digital Health, IIT Bombay; Dr. Moushumi Suryavanshi, Head, Molecular Biology, Amrita Institute of Medical Sciences and Research Centre, Faridabad, Haryana; Dr. Anurag Agarwal, Head, Koita Center for Digital Health, Ashoka University, Sonepat, Haryana and Dr. Bharat Aggarwal, Principal Director-Radiology, Max Hospitals, Delhi, and provided invaluable insights about the intersection of AI and healthcare and offered suggestions on how these two fields can collaborate to solve pressing medical challenges.<\/p>\n
The event also had interactive panel discussions like \u201cPerspective of AI in Healthcare from Medical Community\u201d & \u201cPerspective of AI in Healthcare from Engineering Community\u201d, and a visit to the Medical Cobotics Center (MCC), offering attendees a comprehensive understanding of AI\u2019s potential in healthcare.<\/p>\n","protected":false},"excerpt":{"rendered":"
Medical professionals, engineers, scientists and other stakeholders discussed on ways to develop AI-driven solutions that will enhance patient care, optimize clinical processes, and ultimately improve healthcare outcomes at a day-long conference organised at the iHub Anubhuti IIITD Foundation of Indraprastha Institute of Information Technology Delhi (IIIT Delhi) on September 5, 2024. In his inaugural address, …<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[136],"tags":[12341,12342,12344,12343],"class_list":["post-16683","post","type-post","status-publish","format-standard","","category-national","tag-artificial-intelligence-in-healthcare","tag-healthcare-technology-innovation","tag-machine-learning-for-healthcare","tag-medical-advancements-with-ai"],"yoast_head":"\n