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Author

Nirvana Popescu

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Review Open access Oct 2026

Making Healthcare AI Explainable: A Structured Review of Methods and Clinical Practice

Artificial intelligence is rapidly transforming modern medicine, providing powerful tools to assist clinicians. However, the most accurate models are opaque, and their limited interpretability hinders clinical adoption and raises regulatory concerns. Explainable Artificial Intelligence (XAI) aims to make these models’...

Razvan-Alexandru Nicu, Nirvana Popescu · 0 citations
Open access Aug 2026

Bridging Accuracy and Interpretability: Explainable Deep Learning for Parkinson’s Disease Diagnosis from MRI

The results demonstrate that combining adaptive preprocessing, patient-wise evaluation, and explainable deep learning holds promise for MRI-based Parkinson’s disease detection under a preliminary, dataset-specific evaluation, though substantial performance variability remains across different subject selections, rather...

Ioana-Teodora Isar, Nirvana Popescu · 0 citations

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