Tag: AI in Health
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Rebooting Digital Health for Children in South Asia: A Systemic Shift for Safer, Smarter Care
Introduction: A Digital Reboot for Child Health in South Asia Digital transformation has reshaped how communities interact with health information and services. In South Asia, where millions of children rely on primary health care, a systemic reboot is overdue. The vision is clear: interoperable digital data, ethical AI, and scalable health technologies that improve access,…
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Digital Transformation for Improving Child Health in South Asia: Do We Need a Reboot?
Introduction: The Digital Promise for Child Health Digital transformation has the potential to revolutionize how families access care, how health workers deliver services, and how data drive decision-making. For South Asia, where millions of children rely on primary health care, robust digital systems could improve coverage, reduce delays, and empower communities. Yet turning promise into…
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Evaluation Strategies for LLM-Based Exercise & Health Coaching: A Scoping Review
Introduction Large language models (LLMs) hold promise for personalized exercise and health coaching, offering capabilities from adaptive training plan generation to real-time movement feedback and motivational support. Yet translating potential into safe, effective practice requires robust evaluation across multimodal data streams (text reports, posture analysis, sensor data) and personalized outcomes. This scoping review summarizes how…
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Data Equity in Public Health: Social Determinants, Community Data, and AI Innovation
Introduction: A Data-Driven Shift in Public Health The public health landscape is undergoing a transformation driven by the flood of health-related data—from electronic health records to wearable devices, imaging, and digital sources. This shift, accelerated by data science, novel biostatistics, genomics, and artificial intelligence (AI), holds promise for advancing health at population and community levels.…
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Data Equity and Innovation in Public Health: From Social Determinants to Community-Powered AI
Introduction: A Data-Driven Shift in Public Health The public health landscape is changing rapidly as vast datasets—from electronic health records to wearables, imaging, and social media—inform decision‑making. This convergence of data science, AI, and multimodal data holds the promise of accelerating health improvements, yet it also risks widening disparities if equity is not embedded in…
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The Role of Data in Public Health and Health Innovation: Equity, AI, and Community-Based Models
Introduction: Data as a Catalyst for Public Health Reform The public health landscape is undergoing rapid change driven by the vast amounts of data generated through the digital transformation of health and related fields. Advances in data science, novel biostatistical methods, genomics, and artificial intelligence (AI)—coupled with multimodal datasets from imaging and wearables—are accelerating the…