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AI-Enabled Inclusive Oral-Systemic Integrated Care (AI-IOC+): An Equitable, Learning Framework for Managing

Sumeet Agarwal¹, Laresh N Mistry², Ashwin M Jawdekar²

¹Prosthodontics, Bharati Vidyapeeth Dental College and Hospital, Navi Mumbai, IND.

|May 25, 2026

Summary

Fragmented dental and medical care negatively impacts chronic illness patients. The AI-Enabled Inclusive Oral-Systemic Integrated Care (AI-IOC+) framework uses AI to improve oral-systemic health integration, patient care, and reduce adverse drug events.

Keywords:

ai-ioc+artificial intelligence dentistry health health technology

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Area of Science:

Health Informatics
Artificial Intelligence in Healthcare
Public Health

Background:

Fragmentation of dental and medical services leads to polypharmacy, inefficient resource use, and poor outcomes for chronic illness patients, particularly older adults.
Existing frameworks lack integration of AI, oral-systemic health, life-course perspective, and equity-centered approaches.
Artificial intelligence (AI) offers potential for integrating health data, enhancing clinical decisions, and managing population health.

Purpose of the Study:

To propose the AI-Enabled Inclusive Oral-Systemic Integrated Care (AI-IOC+) framework.
To address the limitations of fragmented care by integrating AI into oral-systemic health management.
To promote a life-course, equity-centered approach for vulnerable populations.

Main Methods:

Development of the AI-IOC+ framework incorporating predictive risk modeling for oral-systemic disease clustering.
Integration of adaptive patient and caregiver interfaces for special populations.
Inclusion of AI-assisted clinical decision support, medication reconciliation, contraindication alerts, and a learning health-system feedback mechanism.

Main Results:

The AI-IOC+ model emphasizes sustainability, fairness-by-design, data interoperability, and governance.
Aims to improve early detection and prevention of systemic complications linked to oral disease.
Seeks to enhance care access and continuity for vulnerable groups, reduce adverse drug events via AI-supported deprescribing, and boost healthcare efficiency.

Conclusions:

The AI-IOC+ framework provides a roadmap for policymakers, academics, and healthcare systems.
Future work includes scoping reviews, co-design pilots, and health economic assessments for implementation.
This integrated approach has the potential to significantly improve patient outcomes and healthcare system efficiency.