New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease

R Gupta, S Kumari, A Senapati, RK Ambasta… - Ageing research …, 2023 - Elsevier
Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …

Imperative role of machine learning algorithm for detection of Parkinson's disease: review, challenges and recommendations

A Rana, A Dumka, R Singh, MK Panda, N Priyadarshi… - Diagnostics, 2022 - mdpi.com
Parkinson's disease (PD) is a neurodegenerative disease that affects the neural, behavioral,
and physiological systems of the brain. This disease is also known as tremor. The common …

Mining imaging and clinical data with machine learning approaches for the diagnosis and early detection of Parkinson's disease

J Zhang - npj Parkinson's Disease, 2022 - nature.com
Parkinson's disease (PD) is a common, progressive, and currently incurable
neurodegenerative movement disorder. The diagnosis of PD is challenging, especially in …

A Comprehensive review on AI-enabled models for Parkinson's disease diagnosis

S Dixit, K Bohre, Y Singh, Y Himeur, W Mansoor… - Electronics, 2023 - mdpi.com
Parkinson's disease (PD) is a devastating neurological disease that cannot be identified with
traditional plasma experiments, necessitating the development of a faster, less expensive …

Computerized analysis of speech and voice for Parkinson's disease: A systematic review

QC Ngo, MA Motin, ND Pah, P Drotár… - Computer Methods and …, 2022 - Elsevier
Background and objective Speech impairment is an early symptom of Parkinson's disease
(PD). This study has summarized the literature related to speech and voice in detecting PD …

Bias investigation in artificial intelligence systems for early detection of Parkinson's disease: a narrative review

S Paul, M Maindarkar, S Saxena, L Saba, M Turk… - Diagnostics, 2022 - mdpi.com
Background and Motivation: Diagnosis of Parkinson's disease (PD) is often based on
medical attention and clinical signs. It is subjective and does not have a good prognosis …

Artificial Intelligence in Parkinson's Disease: Early Detection and Diagnostic Advancements

A Reddy, RP Reddy, AK Roghani, RI Garcia… - Ageing Research …, 2024 - Elsevier
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 …

Cardiovascular/stroke risk stratification in Parkinson's disease patients using atherosclerosis pathway and artificial intelligence paradigm: a systematic review

JS Suri, S Paul, MA Maindarkar, A Puvvula, S Saxena… - Metabolites, 2022 - mdpi.com
Parkinson's disease (PD) is a severe, incurable, and costly condition leading to heart failure.
The link between PD and cardiovascular disease (CVD) is not available, leading to …

Enhanced decision tree induction using evolutionary techniques for Parkinson's disease classification

M Ghane, MC Ang, M Nilashi, S Sorooshian - … and Biomedical Engineering, 2022 - Elsevier
The diagnosis of Parkinson's disease (PD) is important in neurological pathology for
appropriate medical therapy. Algorithms based on decision tree induction (DTI) have been …

Role of artificial intelligence techniques and neuroimaging modalities in detection of Parkinson's disease: a systematic review

N Aggarwal, BS Saini, S Gupta - Cognitive Computation, 2024 - Springer
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 …