Expectations for artificial intelligence (AI) in psychiatry

S Monteith, T Glenn, J Geddes, PC Whybrow… - Current Psychiatry …, 2022 - Springer
Abstract Purpose of Review Artificial intelligence (AI) is often presented as a transformative
technology for clinical medicine even though the current technology maturity of AI is low. The …

From YouTube to the brain: Transfer learning can improve brain-imaging predictions with deep learning

N Malik, D Bzdok - Neural Networks, 2022 - Elsevier
Deep learning has recently achieved best-in-class performance in several fields, including
biomedical domains such as X-ray images. Yet, data scarcity poses a strict limit on training …

[PDF][PDF] Profiling intra-and inter-individual differences in child and adolescent brain development

KL Bottenhorn, C Cardenas-Iniguez, KL Mills, AR Laird… - 2022 - scholar.archive.org
As we move toward population-level developmental neuroscience, understanding intra-and
interindividual variability in brain maturation and sources of neurodevelopmental …

Evidence for Embracing Normative Modeling

S Rutherford, P Barkema, IF Tso, C Sripada… - bioRxiv, 2022 - biorxiv.org
In this work, we expand the normative model repository introduced in Rutherford et
al.(2022a) to include normative models charting lifespan trajectories of structural surface …

Towards 3D Deep Learning for neuropsychiatry: predicting Autism diagnosis using an interpretable Deep Learning pipeline applied to minimally processed structural …

M Garcia, C Kelly - medRxiv, 2022 - medrxiv.org
By capitalizing on the power of multivariate analyses of large datasets, predictive modeling
approaches are enabling progress toward robust and reproducible brain-based markers of …

Using the Excitation/Inhibition Ratio to Optimize the Classification of Autism and Schizophrenia

LC Uscătescu, CJ Hyatt, J Dunn, M Kronbichler… - medRxiv, 2022 - medrxiv.org
The excitation/inhibition (E/I) ratio has been shown to be imbalanced in individuals
diagnosed with autism (AT) or schizophrenia (SZ), relative to neurotypically developed …