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S. Umapathy

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#federated learning Review Open access Oct 2026

Multimodal AI in hematology: a systematic review of fusion approaches for automated diagnosis of blood disorders

Hematological disorders, including anemia and leukemia, pose major health risks globally, especially in developing areas. Around 1.92 billion people are affected by anemia, with about 475,000 new leukemia cases diagnosed yearly, resulting in approximately 310,000 deaths. The reliance on subjective conventional diagnost...

Bhavadharani Babu, S. Umapathy · 0 citations
Open access Aug 2026

Advancing Parkinson’s detection from MRI: a deep learning comparison of classical and quantum architectures

An automated PD classification framework utilizing deep learning models to analyze real-time MRI scans is implemented, providing a scalable and clinically viable AI framework that enhances diagnostic accuracy, thereby supporting clinicians in disease detection and improving patient management strategies.

Jothiraj Selvaraj, Fadiyah Almutairi, Omar Alhajlah et al. · 0 citations

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