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Evaluation of risk of bias in neuroimaging-based artificial intelligence models for psychiatric diagnosis: a systematic review
Z Chen, X Liu, Q Yang, YJ Wang, K Miao… - JAMA Network …, 2023 - jamanetwork.com
Importance Neuroimaging-based artificial intelligence (AI) diagnostic models have
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …
Oral cancer screening by artificial intelligence‐oriented interpretation of optical coherence tomography images
Early diagnosis of oral cancer is critical to improve the survival rate of patients. The current
strategies for screening of patients for oral premalignant and malignant lesions unfortunately …
strategies for screening of patients for oral premalignant and malignant lesions unfortunately …
Neuroretinal alterations in schizophrenia and bipolar disorder: an updated meta-analysis
Schizophrenia (SZ) and bipolar disorder (BD) are characterized by major symptomatic,
cognitive, and neuroanatomical changes. Recent studies have used optical coherence …
cognitive, and neuroanatomical changes. Recent studies have used optical coherence …
Early diagnosis of multiple sclerosis using swept-source optical coherence tomography and convolutional neural networks trained with data augmentation
A López-Dorado, M Ortiz, M Satue, MJ Rodrigo… - Sensors, 2021 - mdpi.com
Background: The aim of this paper is to implement a system to facilitate the diagnosis of
multiple sclerosis (MS) in its initial stages. It does so using a convolutional neural network …
multiple sclerosis (MS) in its initial stages. It does so using a convolutional neural network …
Development of a novel retina− based diagnostic score for early detection of major depressive disorder: an interdisciplinary view
X Liu, S Lai, S Ma, H Yang, L Liu, G Yu, S Zhong… - Frontiers in …, 2022 - frontiersin.org
Background Clinically effective markers for the diagnosis of major depressive disorder
(MDD) are lacking. Alterations in retinal features are closely related to the …
(MDD) are lacking. Alterations in retinal features are closely related to the …
Advancements in machine learning and deep learning for early detection and management of mental health disorder
KD Kannan, SK Jagatheesaperumal… - ar** conventional methodologies and elevating the effectiveness …
Optical coherence tomography angiography in patients with euthymic bipolar disorder
A Mustafa, U Turgay - Journal of affective disorders, 2022 - Elsevier
Objective The number of studies conducted on the evaluation of retinal microvascularity in
patients with Bipolar Disorder (BD) is very few. Therefore, in the present study it was aimed …
patients with Bipolar Disorder (BD) is very few. Therefore, in the present study it was aimed …