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20202026
most citedA Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

2.7k citations · 3.9k across the 27 of their papers we have counts for

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Showing 2023 · cs.AIShow all

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cs.AI2023★ 200 cited

Designing Interpretable ML System to Enhance Trust in Healthcare: A Systematic Review to Proposed Responsible Clinician-AI-Collaboration Framework

Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya +1

This paper explores the significant impact of AI-based medical devices, including wearables, telemedicine, large language models, and digital twins, on clinical decision support sy…