Automated detection of schizophrenia using deep learning: a review for the last decade

M Sharma, RK Patel, A Garg, R SanTan… - Physiological …, 2023 - iopscience.iop.org
Schizophrenia (SZ) is a devastating mental disorder that disrupts higher brain functions like
thought, perception, etc., with a profound impact on the individual's life. Deep learning (DL) …

Artificial intelligence in predicting systemic parameters and diseases from ophthalmic imaging

BK Betzler, TH Rim, C Sabanayagam… - Frontiers in Digital …, 2022 - frontiersin.org
Artificial Intelligence (AI) analytics has been used to predict, classify, and aid clinical
management of multiple eye diseases. Its robust performances have prompted researchers …

Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy …

A Shoeibi, N Ghassemi, M Khodatars, P Moridian… - Cognitive …, 2023 - Springer
Nowadays, many people worldwide suffer from brain disorders, and their health is in danger.
So far, numerous methods have been proposed for the diagnosis of Schizophrenia (SZ) and …

[HTML][HTML] The impact of artificial intelligence on the tasks of mental healthcare workers: A scoping review

AD Rebelo, DE Verboom, NR dos Santos… - Computers in Human …, 2023 - Elsevier
Abstract Background Artificial Intelligence (AI) is expected to transform the work context
deeply. Currently, multiple AI systems are being studied and applied in the mental …

Systematic review and meta-analysis of retinal microvascular caliber in bipolar disorder, major depressive disorder, and schizophrenia

KG Kennedy, M Mio, BI Goldstein, P Brambilla… - Journal of Affective …, 2023 - Elsevier
Background Individuals with a severe mental illness (SMI), such as bipolar disorder (BD),
major depressive disorder (MDD), and schizophrenia (SZ), have increased rates of …

Diagnosing systemic disorders with AI algorithms based on ocular images

H Li, J Cao, A Grzybowski, K Jin, L Lou, J Ye - Healthcare, 2023 - mdpi.com
The advent of artificial intelligence (AI), especially the state-of-the-art deep learning
frameworks, has begun a silent revolution in all medical subfields, including ophthalmology …

[HTML][HTML] Applications of artificial intelligence-assisted retinal imaging in systemic diseases: A literature review

AM Al-Halafi - Saudi Journal of Ophthalmology, 2023 - journals.lww.com
The retina is a vulnerable structure that is frequently affected by different systemic
conditions. The main mechanisms of systemic retinal damage are either primary insult of …

On the improvement of schizophrenia detection with optical coherence tomography data using deep neural networks and aggregation functions

P Karczmarek, M Plechawska-Wójcik, A Kiersztyn… - Scientific Reports, 2024 - nature.com
Schizophrenia is a serious mental disorder with a complex neurobiological background and
a well-defined psychopathological picture. Despite many efforts, a definitive disease …

Use of artificial intelligence algorithms to predict systemic diseases from retinal images

R Khan, J Surya, M Roy… - … : Data Mining and …, 2023 - Wiley Online Library
The rise of non‐invasive, rapid, and widely accessible quantitative high‐resolution imaging
methods, such as modern retinal photography and optical coherence tomography (OCT) …

Ocular biomarkers: useful incidental findings by deep learning algorithms in fundus photographs

E Martin, AG Cook, SM Frost, AW Turner, FK Chen… - Eye, 2024 - nature.com
Abstract Background/Objectives Artificial intelligence can assist with ocular image analysis
for screening and diagnosis, but it is not yet capable of autonomous full-spectrum screening …