Machine learning classification of retinal imaging of neuropsychiatric and healthy cases in a subset of the UK Biobank cohort DOI Open Access
Babatunde Aideyan

Published: Jan. 1, 2023

Deep learning (DL) models trained on retinal imaging has grown into a lively area of research at the intersection medical diagnostics and image analysis (MIA). Numerous studies have shown that convolutional neural networks (CNNs) are capable classifying diabetic retinopathy (DR) from color fundus (CF) with accuracies equivalent to human clinical experts. Several years investigation led first-ever FDA-approved autonomous intelligent system, IDx-DR, which automatically diagnoses DR CF images. Considering ongoing biomarkers associated neuropsychiatric pathologies, potential for computational (RIA) automatic detection disorders (NPDs) is compelling area. This chapter reports methods results DL model development validation study. were classify optical coherence tomography (OCT) individuals NPDs matched healthy controls (HCs). The study sample was obtained UK Biobank (UKBB), large-scale biomedical database containing 85,000 participants. After inclusion exclusion criteria applied, 50 cases identified in NPD group, three HCs each case (total n=200). Low-quality OCT excluded, remaining images split training, validation, test datasets. Ten modality average classification 48.3% 62.9% imaging, respectively. Results this both support refute two also used train tasked - wherein one very high performance another low performance. line still early should be considered preliminary exploratory. However, conjunction larger body concerning identifying neurobiological substrates NPDs, study's indicate limited long-term translation potential.--Author's abstract

Language: Английский

Retinal microvasculature in schizophrenia: A meta-analysis with trial sequential analysis of studies assessing vessel density using Optical Coherence Tomography Angiography DOI
Siddharam S Janti, Sai Krishna Tikka

Asian Journal of Psychiatry, Journal Year: 2023, Volume and Issue: 84, P. 103570 - 103570

Published: March 28, 2023

Language: Английский

Citations

3
Comparative quantifications and morphological monitoring of the topical treatment approach for onychomycosis-affected in vivo toenail using optical coherence tomography: A case study DOI
Sm Abu Saleah,

Youngae Gu,

Ruchire Eranga Wijesinghe

et al.

Biomedical Signal Processing and Control, Journal Year: 2023, Volume and Issue: 88, P. 105648 - 105648

Published: Oct. 19, 2023

Language: Английский

Citations

3
Exploring the neural effects of adverse childhood experiences through the retina DOI Creative Commons
Brittany A. Blose

Biomarkers in Neuropsychiatry, Journal Year: 2024, Volume and Issue: 10, P. 100093 - 100093

Published: April 10, 2024

Adverse childhood experiences (ACEs) are associated with developing systemic diseases and mental illnesses, affecting multiple body systems, including those that affect allostasis, such as the immune, endocrine, nervous systems. Numerous different biomarkers reflect biological manifestations of ACEs across these systems point to possible mechanisms pathology following early adversity. Retinal layer thickness values retinal microvasculature parameters, which may central system structure function, have scarcely been explored in relation life stress humans but could potentially be valuable indicators adversity sequelae. Animal models using rodents demonstrate is structural functional alterations retina. Thus, given widespread impact several allostatic body, retina a part, evidence animal suggesting relationship between alterations, likely affected by humans. also represent especially feasible methods for exploring effects on they can examined vivo optical coherence tomography (OCT), OCT angiography (OCTA), electroretinography (ERG), quick noninvasive imaging electrophysiological techniques. Therefore, future research should focus what changes predict terms symptoms, course, impairment negative physical health outcomes. This further our understanding pathological disorders individuals at risk developing.

Language: Английский

Citations

0
Optic nerve head and macular neurovasculature in psychosis DOI Open Access
Mehrdad Motamed Shariati

Journal of Clinical Images and Medical Case Reports, Journal Year: 2023, Volume and Issue: 4(6)

Published: June 28, 2023

Studying the neurovasculature of retina can provide invaluable information regarding Central Nervous System. This is mainly because shares a common embryological origin with brain [1].

Language: Английский

Citations

0
Machine learning classification of retinal imaging of neuropsychiatric and healthy cases in a subset of the UK Biobank cohort DOI Open Access
Babatunde Aideyan

Published: Jan. 1, 2023

Deep learning (DL) models trained on retinal imaging has grown into a lively area of research at the intersection medical diagnostics and image analysis (MIA). Numerous studies have shown that convolutional neural networks (CNNs) are capable classifying diabetic retinopathy (DR) from color fundus (CF) with accuracies equivalent to human clinical experts. Several years investigation led first-ever FDA-approved autonomous intelligent system, IDx-DR, which automatically diagnoses DR CF images. Considering ongoing biomarkers associated neuropsychiatric pathologies, potential for computational (RIA) automatic detection disorders (NPDs) is compelling area. This chapter reports methods results DL model development validation study. were classify optical coherence tomography (OCT) individuals NPDs matched healthy controls (HCs). The study sample was obtained UK Biobank (UKBB), large-scale biomedical database containing 85,000 participants. After inclusion exclusion criteria applied, 50 cases identified in NPD group, three HCs each case (total n=200). Low-quality OCT excluded, remaining images split training, validation, test datasets. Ten modality average classification 48.3% 62.9% imaging, respectively. Results this both support refute two also used train tasked - wherein one very high performance another low performance. line still early should be considered preliminary exploratory. However, conjunction larger body concerning identifying neurobiological substrates NPDs, study's indicate limited long-term translation potential.--Author's abstract

Language: Английский

Citations

0