Scaling Adoption of Medical AI — Reimbursement from Value-Based Care and Fee-for-Service Perspectives

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A reimbursement framework for artificial intelligence in healthcare

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Rethinking clinical trials for medical AI with dynamic deployments of adaptive systems

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Cost-effectiveness of AI for pediatric diabetic eye exams from a health system perspective

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Mitigation of AI adoption bias through an improved autonomous AI system for diabetic retinal disease

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What Do We Do with Physicians When Autonomous AI-Enabled Workflow is Better for Patient Outcomes?

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Autonomous AI-assisted diabetic retinopathy screening at primary care is associated with increased presentation to eye care by at risk patients

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Evaluating commercial multimodal AI for diabetic eye screening and implications for an alternative regulatory pathway

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A Framework for Healthcare from the Eye

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Regulating Adaptive Medical Artificial Intelligence: Can Less Oversight Lead to Greater Compliance?Preprint

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Using AI as Gatekeeper or Second Opinion: Designing Patient Pathways for AI-Augmented HealthcarePreprint

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The Most Disruptive Near-Term Use of AI in Cancer Care: Patient Empowerment Through Software Agents

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Ethics of Autonomous AI Clinical Trials: Delphi Study

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Autonomous AI for diabetic eye disease at primary care improves ophthalmic access for at-risk patientsPreprint

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Implementing Generative AI into Health Systems, Hospitals and Your Practice: Preparing for Change

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Stakeholder Perspectives of Implementation Barriers of Artificial Intelligence in Eye Care: A qualitative framework-based study

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Misperceptions of Retinal Imaging in Popular Fiction

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Leveraging reimbursement strategies to guide value-based adoption and utilization of medical AI

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A reimbursement framework for artificial intelligence in healthcare

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Reimbursement and Regulatory Landscape for Artificial Intelligence in Medical Technology

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