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20242026
most citedThe Dual Impact of Artificial Intelligence in Healthcare: Balancing Advancements with Ethical and Operational Challenges

12 citations · 19 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2026

MCP-Driven Accessibility Tree Standardization for AI-Powered Screen Reader Agents

Vishnu Ramineni, Nitin Saksena, Akash Kumar Agarwal +5

Large language model (LLM) agents that interact with graphical user interfaces increasingly rely on either raw screenshots or platform-specific accessibility application programmin…

cs.HC2025★ 2 cited

Advancing Digital Accessibility In Digital Pharmacy, Healthcare, And Wearable Devices: Inclusive Solutions for Enhanced Patient Engagement

Vishnu Ramineni, Balaji Shesharao Ingole, Nikhil Kumar Pulipeta +2

Modern healthcare facilities demand digital accessibility to guarantee equal access to telemedicine platforms, online pharmacy services, and health monitoring devices that can be w…

cs.HC2025★ 3 cited

Advancing Digital Accessibility: Integrating AR/VR and Health Tech for Inclusive Healthcare Solutions

Vishnu Ramineni, Shivareddy Devarapalli, Balakrishna Pothineni +3

Modern healthcare domain incorporates a feature of digital accessibility to ensure seamless flow of online services for the patients. However, this feature of digital accessibility…

cs.CY2024★ 12 cited

The Dual Impact of Artificial Intelligence in Healthcare: Balancing Advancements with Ethical and Operational Challenges

Balaji Shesharao Ingole, Vishnu Ramineni, Nikhil Kumar Pulipeta +3

The synchronic and diachronic study of the evolution of Artificial Intelligence (AI) unveils one prominent fact that its effect can be traced in almost all fields such as healthcar…

cs.LG2024★ 1 cited

Advancements In Heart Disease Prediction: A Machine Learning Approach For Early Detection And Risk Assessment

Balaji Shesharao Ingole, Vishnu Ramineni, Nikhil Bangad +2

The primary aim of this paper is to comprehend, assess, and analyze the role, relevance, and efficiency of machine learning models in predicting heart disease risks using clinical…

cs.CY2024★ 1 cited

AI-driven innovation in medicaid: enhancing access, cost efficiency, and population health management

Balaji Shesharao Ingole, Vishnu Ramineni, Manjunatha Sughaturu Krishnappa +1

The U.S. Medicaid program is experiencing critical challenges that include rapidly increasing healthcare costs, uneven care accessibility, and the challenge associated with address…