Artificial intelligence in disease diagnostics: A critical review and classification on the current state of research guiding future direction

M Mirbabaie, S Stieglitz, NRJ Frick - Health and Technology, 2021 - Springer
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 …

Artificial intelligence for assisting diagnostics and assessment of Parkinson's disease—A review

M Belić, V Bobić, M Badža, N Šolaja… - Clinical neurology and …, 2019 - Elsevier
Artificial intelligence, specifically machine learning, has found numerous applications in
computer-aided diagnostics, monitoring and management of neurodegenerative movement …

Artificial intelligence, machine learning and reasoning in health informatics—Case studies

MU Ahmed, S Barua, S Begum - Signal Processing Techniques for …, 2021 - Springer
Abstract To apply Artificial Intelligence (AI), Machine Learning (ML) and Machine Reasoning
(MR) in health informatics are often challenging as they comprise with multivariate …

Automated methods for diagnosis of Parkinson's disease and predicting severity level

Z Ayaz, S Naz, NH Khan, I Razzak, M Imran - Neural Computing and …, 2023 - Springer
The recent advancements in information technology and bioinformatics have led to
exceptional contributions in medical sciences. Extensive developments have been recorded …

Artificial intelligence in psychological practice: Current and future applications and implications.

DD Luxton - Professional Psychology: Research and Practice, 2014 - psycnet.apa.org
This article reviews developments in artificial intelligence (AI) technologies and their current
and prospective applications in clinical psychological practice. Some of the principal AI …

Medical big data: neurological diseases diagnosis through medical data analysis

S Siuly, Y Zhang - Data Science and Engineering, 2016 - Springer
Diagnosis of neurological diseases is a growing concern and one of the most difficult
challenges for modern medicine. According to the World Health Organisation's recent report …

Automatic detection of Parkinson's disease based on acoustic analysis of speech

D Braga, AM Madureira, L Coelho, R Ajith - Engineering Applications of …, 2019 - Elsevier
This paper proposes a methodology to detect early signs of Parkinson's disease (PD)
through free-speech in uncontrolled background conditions. The early detection mechanism …

Machine learning techniques for the Schizophrenia diagnosis: A comprehensive review and future research directions

S Verma, T Goel, M Tanveer, W Ding, R Sharma… - Journal of Ambient …, 2023 - Springer
Schizophrenia (SCZ) is a brain disorder where different people experience different
symptoms, such as hallucination, delusion, flat-talk, disorganized thinking, etc. In the long …

Accuracy improvement for predicting Parkinson's disease progression

M Nilashi, O Ibrahim, A Ahani - Scientific reports, 2016 - nature.com
Parkinson's disease (PD) is a member of a larger group of neuromotor diseases marked by
the progressive death of dopamineproducing cells in the brain. Providing computational …

[HTML][HTML] Speech analysis for diagnosis of Parkinson's disease using genetic algorithm and support vector machine

M Shahbakhi, DT Far, E Tahami - Journal of biomedical science and …, 2014 - scirp.org
Parkinson's disease (PD) is the most common disease of motor system degeneration that
occurs when the dopamine-producing cells are damaged in substantia nigra. To detect PD …