AI Support Proposed For Patient Care
The Translational AI for Networked Universal Healthcare (TANUH) Foundation proposed a multi-centre collaboration to develop AI tools for patient care at a meeting held at Nizam's Institute of Medical Sciences, Hyderabad. TANUH outlined its work in computational modelling, medical imaging, and AI-based predictive tools for breast cancer risk assessment.
The Translational AI for Networked Universal Healthcare (TANUH) Foundation proposed a multi-centre collaboration to develop artificial intelligence (AI) tools for patient care. The proposal was made at a high-level meeting held at Nizam's Institute of Medical Sciences (Nims), Hyderabad, with representatives from the Artificial Intelligence Centre of Excellence in Healthcare at the Indian Institute of Science (IISc), Bengaluru. TANUH focuses on translating AI research into real-world clinical applications, including computational modelling, medical imaging, and multimodal clinical data integration. Key projects discussed included AI-based predictive tools for breast cancer risk assessment and programmes in renal health, diabetes management, and vascular disease modelling. Both institutions expressed interest in establishing a long-term strategic partnership, with formal agreements expected soon. The collaboration aims to operationalise AI tools for patient care across multiple hospitals.
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