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FLARE framework separates AI accuracy from real-world economic ROI in healthcare

arXiv publication proposes FLARE: systematic evaluation framework that measures whether AI adoption is economically worthwhile in real workflows, not just whether models are accurate. Embeds uncertainty quantification and cost-benefit analysis.

WHY IT MATTERS

Template transferable to BFSI: banks often deploy AI based on model benchmark scores, not operational value. FLARE's methodology could reshape how institutions justify AI spend to risk and finance teams, forcing honesty on deployment costs vs. savings.

Source: arXiv · 2026-08-27

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FLARE framework separates AI accuracy from real-world economic ROI in healthcare — ath — AITechHive