Adverse Childhood Experiences (ACEs) remain a critical public health challenge, with long-term effects on physical health, mental well-being, and socioeconomic outcomes. Despite ongoing trauma-informed care (TIC) initiatives, existing systems lack integrated, real-time data analytics and accessible decision-support tools for stakeholders. This paper presents the design and development of a scalable, interoperable Data Science Management Application (DSMA) conceptualized for Resilient Georgia to support ACE prevention and TIC implementation. The proposed prototype integrates an interactive visualization dashboard, an AI-powered chatbot for natural-language querying, an ACE risk-tracking tool, and an automated reportgeneration pipeline. The application is developed in a research context, using synthetic and representative datasets to demonstrate the system’s capabilities while preserving data privacy. Preliminary user feedback from domain stakeholders indicates strong perceived usability and relevance, particularly in visualization clarity and natural-language interaction. The system demonstrates the potential to identify regional disparities, improve access to complex data, and support data-driven decision-making. However, the platform has not yet been deployed in real-world settings, and formal quantitative validation of chatbot accuracy, report reliability, and risk assessment performance remains future work. This study contributes a human-centered, AI-enabled framework for scalable public health data systems, providing a foundation for future development, validation, and deployment in traumainformed care environments.
Mohmmad Arif Shaik, Andrea Meyer Stinson, Audrey Idaikkadar et al.· 2026 International Conferenc...· 0 citations
The digital healthcare field is expanding fast, and now it requires platforms that use advanced technology and maintain robust data security and compliance practices. In this paper, we present the main architecture, key methodologies, and compliance strategies of iHelpCare, a digital healthcare system designed to meet HIPAA and GDPR standards while improving healthcare accessibility, efficiency, and inclusivity. The platform uses AI-based features to deliver personalized care solutions, focuses on preventive health management, and offers adaptive tools for people with disabilities. iHelpCare enables real-time patient monitoring, ensures secure medical data management, and facilitates convenient communication among patients, caregivers, and healthcare providers. Moreover, special attention is provided to people with Alzheimer’s through memory aid tools, cognitive exercises, caregiver resources, and AI-based detection analytics. All these characteristics are intended to detect cognitive decline at an early stage, enabling prompt interventions and improving patients’ quality of life. Also, iHelpCare considers unique health needs by providing access to culturally appropriate healthcare materials, telehealth consultations in multiple languages, and community support networks, making healthcare easier and more effective for this community. The platform’s AI analytics provide predictive insights that help medical professionals anticipate health conditions, optimize treatment plans, and reduce caregiver burden. To improve accessibility, features such as voice command, screen reader, and gesture recognition are included to help users with cognitive and physical disabilities. iHelpCare is envisioned to evolve through advanced sensor integration, personalized and inclusive care models, enhanced security, smart home support, and clinically validated tools for patients and caregivers.
Soarov Chakra Borty, Trisha Bhowmick, Mehedi Hasan et al.· 2026 International Conferenc...· 0 citations
This paper presents a large-scale empirical study using the AIDev dataset to systematically characterize security code smells in agent-generated pull requests (PRs), finding that human collaborators are responsible for introducing 67.6% of genuine leaked secrets within these agent-assisted workflows.
A. H. M. Nazmus Sakib, Dipayan Banik, Murtuza Jadliwala· arXiv.org· 0 citations
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