The diagnosis of diseases is decisive for planning proper treatment and ensuring the well-
being of patients. Human error hinders accurate diagnostics, as interpreting medical …

The recent advancements in information technology and bioinformatics have led to
exceptional contributions in medical sciences. Extensive developments have been recorded …

Parkinson's disease (PD) is the second most common neurodegenerative disorder, globally
affecting men and women at an exponentially growing rate, with currently no cure. Disease …

The Parkinson's Progression Markers Initiative (PPMI) has collected more than a decade's
worth of longitudinal and multi-modal data from patients, healthy controls, and at-risk …

The detection and pathogenic factors analysis of Parkinson's disease (PD) has a practical
significance for its diagnosis and treatment. However, the traditional research paradigms are …

Abstract Parkinson's disease (PD), a neurodegenerative disorder, is caused due to the lack
of dopamine neurotransmitters throughout the substantia nigra. Its diagnosis in the earlier …

Abstract Background Diagnosis of Parkinson's disease (PD) is informed by the presence of
progressive motor and non-motor symptoms and by imaging dopamine transporter with [123 …

Recently, the application of artificial intelligence (AI) in medical imaging (including nuclear
medicine imaging) has rapidly developed. Most AI applications in nuclear medicine imaging …

Purpose This work attempts to decode the discriminative information in dopamine
transporter (DAT) imaging using deep learning for the differential diagnosis of parkinsonism …

Machine Learning (ML) is a subfield of Artificial Intelligence (AI) that is increasingly applied
to several medical diagnosis tasks, including a wide range of diseases. Importantly, various …