Author

N. Sampathila

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Open access Oct 2026

MRI-based machine learning models for differentiating Parkinson’s disease and Progressive Supranuclear Palsy

Background Parkinson’s disease (PD) and Progressive Supranuclear Palsy (PSP) are neurodegenerative disorder which have Parkinsonism as core clinical feature. PD and PSP are often misdiagnosed in early phases by conventional magnetic resonance imaging (MRI). Hence the objective of the study is to evaluate accuracy of MR...

Vilhoubeinuo Veronica Khruomo, Priyanka, R. Kadavigere et al. · F1000Research · 0 citations

Open access Oct 2026

Machine Learning-Based Gallstone Prediction Using Clinical Markers and Multiple Explainable AI Methods

Gallstones, also known as cholelithiasis, are hardened deposits of bile (digestive fluid) formed in the gallbladder. Gallstones are a common gastrointestinal condition. They often lead to complications like cholecystitis, biliary obstruction, and pancreatitis. The diagnosis of gallstones involves blood tests, ultrasono...

Abhijay N. Sampathila, K. Chadaga, Devadas Bhat et al. · Computers · 0 citations