Machine learning for dementia prediction: a systematic review and future research directions

A Javeed, AL Dallora, JS Berglund, A Ali, L Ali… - Journal of medical …, 2023 - Springer
Abstract Nowadays, Artificial Intelligence (AI) and machine learning (ML) have successfully
provided automated solutions to numerous real-world problems. Healthcare is one of the …

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 …

Economics of artificial intelligence in healthcare: diagnosis vs. treatment

NN Khanna, MA Maindarkar, V Viswanathan… - Healthcare, 2022 - mdpi.com
Motivation: The price of medical treatment continues to rise due to (i) an increasing
population;(ii) an aging human growth;(iii) disease prevalence;(iv) a rise in the frequency of …

The development of an automated machine learning pipeline for the detection of Alzheimer's Disease

N Chedid, J Tabbal, A Kabbara, S Allouch… - Scientific Reports, 2022 - nature.com
Although Alzheimer's disease is the most prevalent form of dementia, there are no
treatments capable of slowing disease progression. A lack of reliable disease endpoints …

Cardiovascular risk stratification in diabetic retinopathy via atherosclerotic pathway in COVID-19/non-COVID-19 frameworks using artificial intelligence paradigm: a …

S Munjral, M Maindarkar, P Ahluwalia, A Puvvula… - Diagnostics, 2022 - mdpi.com
Diabetes is one of the main causes of the rising cases of blindness in adults. This
microvascular complication of diabetes is termed diabetic retinopathy (DR) and is …

Detection of Alzheimer's disease onset using MRI and PET neuroimaging: longitudinal data analysis and machine learning

I Aberathne, D Kulasiri… - Neural Regeneration …, 2023 - journals.lww.com
The scientists are dedicated to studying the detection of Alzheimer's disease onset to find a
cure, or at the very least, medication that can slow the progression of the disease. This …

Determining the severity of Parkinson's disease in patients using a multi task neural network

MT García-Ordás, JA Benítez-Andrades… - Multimedia Tools and …, 2024 - Springer
Parkinson's disease is easy to diagnose when it is advanced, but it is very difficult to
diagnose in its early stages. Early diagnosis is essential to be able to treat the symptoms. It …

Design of a Collaborative Knowledge Framework for Personalised Attention Deficit Hyperactivity Disorder (ADHD) Treatments

P Chatpreecha, S Usanavasin - Children, 2023 - mdpi.com
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder. From the
data collected by the Ministry of Public Health, Thailand, it has been reported that more than …

MemorySona: Illuminating Cognitive Health with Deep Learning-A Mobile Medical App for Alzheimer's Patients, Emphasizing Detection through Brain MRI Images

SAZ Hassan - … 6th International Conference on Computing and …, 2024 - ieeexplore.ieee.org
MemorySona is a recent development and specialized application for Alzheimer's patients. It
is designed for individuals with Alzheimer's Disease (AD) to provide support in various ways …

GUI Based Machine Learning Algorithms to Predict Alzheimer's Disease

S Ravi, Y Satuluri, SM Ali, C Nekkanti… - … Conference on Signal …, 2023 - ieeexplore.ieee.org
Alzheimer's disease is a unique neurologic condition that causes the mind to decay and
synapses to graze on the leftovers. Around 45 million people are affected by this disease …