Explainable artificial intelligence for mental health through transparency and interpretability for understandability
The literature on artificial intelligence (AI) or machine learning (ML) in mental health and
psychiatry lacks consensus on what “explainability” means. In the more general XAI …
psychiatry lacks consensus on what “explainability” means. In the more general XAI …
Robust and replicable functional brain signatures of 22q11. 2 deletion syndrome and associated psychosis: a deep neural network-based multi-cohort study
A major genetic risk factor for psychosis is 22q11. 2 deletion (22q11. 2DS). However, robust
and replicable functional brain signatures of 22q11. 2DS and 22q11. 2DS-associated …
and replicable functional brain signatures of 22q11. 2DS and 22q11. 2DS-associated …
Explainable artificial intelligence for mental health through transparency and interpretability for understandability
KA Smith, A Cipriani - 2023 - oxfordhealth-nhs.archive …
The literature on artificial intelligence (AI) or machine learning (ML) in mental health and
psychiatry lacks consensus on what “explainability” means. In the more general XAI …
psychiatry lacks consensus on what “explainability” means. In the more general XAI …
[图书][B] A Biologist's Guide to Artificial Intelligence: Building the foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences
A Biologist's Guide to Artificial Intelligence: Building the Foundations of Artificial Intelligence
and Machine Learning for Achieving Advancements in Life Sciences provides an overview …
and Machine Learning for Achieving Advancements in Life Sciences provides an overview …
[PDF][PDF] Autism spectrum disorder: time to notice the individuals more than the group
G Hwang - Biological Psychiatry, 2022 - Elsevier
Autism spectrum disorder (ASD) is notoriously heterogeneous in its clinical presentation.
Moreover, its definition has been revised many times since its first discovery, leading to …
Moreover, its definition has been revised many times since its first discovery, leading to …
Classification of Recurrent Major Depressive Disorder Using a Residual Denoising Autoencoder Framework: Insights from Large-Scale Multisite fMRI Data
P Dai, Y Shi, D Lu, Y Zhou, J Luo, Z He, Z Chen… - Computer Methods and …, 2024 - Elsevier
Background and objective: Recurrent major depressive disorder (rMDD) has a high
recurrence rate, and symptoms often worsen with each episode. Classifying rMDD using …
recurrence rate, and symptoms often worsen with each episode. Classifying rMDD using …
Multimodal Brain Disease Classification with Functional Interaction Learning from Single fMRI Volume
W Dai, Z Zhang, L Tian, S Yu, S Wang, Z Dong… - arXiv preprint arXiv …, 2022 - arxiv.org
In neuroimaging analysis, fMRI can well assess the function changes for brain diseases with
no obvious structural lesions. To date, most deep-learning-based fMRI studies have …
no obvious structural lesions. To date, most deep-learning-based fMRI studies have …
End-to-end explainable ai: Derived theory-of-mind fingerprints to distinguish between autistic and typically developing and social symptom severity
Abstract Theory-of-Mind (ToM) is an evolving ability that significantly impacts human
learning and cognition. Early development of ToM ability allow one to comprehend other …
learning and cognition. Early development of ToM ability allow one to comprehend other …
[HTML][HTML] Generalizable neuromarker for autism spectrum disorder across imaging sites and developmental stages: A multi-site study
T Itahashi, A Yamashita, Y Takahara, N Yahata… - bioRxiv, 2023 - ncbi.nlm.nih.gov
Autism spectrum disorder (ASD) is a lifelong condition, and its underlying biological
mechanisms remain elusive. The complexity of various factors, including inter-site and …
mechanisms remain elusive. The complexity of various factors, including inter-site and …
Dynamic functional connectivity analysis in individuals with Autism Spectrum Disorder
PKC Prasad, K Dadi… - 2023 International Joint …, 2023 - ieeexplore.ieee.org
Autism spectrum disorder (ASD) is a neurodevelopmental disorder that predominantly
occurs in children. Previous brain research in ASD has mainly studied biomarkers based on …
occurs in children. Previous brain research in ASD has mainly studied biomarkers based on …