AIMC Topic: Mental Disorders

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Evaluating the Machine Learning Literature: A Primer and User's Guide for Psychiatrists.

The American journal of psychiatry Jun 3, 2021
Psychiatry Decision Support Systems, Clinical Models, Theoretical Natural Language Processing Humans Machine Learning Mental Disorders
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Spine dynamics in the brain, mental disorders and artificial neural networks.

Nature reviews. Neuroscience May 28, 2021
In the brain, most synapses are formed on minute protrusions known as dendritic spines. Unlike their artificial intelligence counterparts, spines are not merely tuneable memory elements: they also embody algorithms that implement the brain's ability ...
Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms Humans Synapses Receptors, Dopamine Species Specificity Dopamine Mental Processes Neuronal Plasticity Mental Disorders Neurotransmitter Agents Memory, Short-Term Dendritic Spines Models, Neurological Brain Reward Optogenetics Animals
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Deep learning applied to electroencephalogram data in mental disorders: A systematic review.

Biological psychology May 13, 2021
In recent medical research, tremendous progress has been made in the application of deep learning (DL) techniques. This article systematically reviews how DL techniques have been applied to electroencephalogram (EEG) data for diagnostic and predictiv...
Mental Disorders Deep Learning Electroencephalography Diagnostic and Statistical Manual of Mental Disorders Humans Neural Networks, Computer
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[Artificial intelligence in psychiatry: predictive value of characteristics on MR imaging of the brain].

Nederlands tijdschrift voor geneeskunde Mar 25, 2021
The clinical application of neuroimaging for psychological complaints has so far been limited to the exclusion of somatic pathology. Radiological assessment of brain scans usually does not explain the psychological symptoms. However, that does not me...
Magnetic Resonance Imaging Predictive Value of Tests Neuroimaging Humans Artificial Intelligence Mental Disorders Psychiatry Prognosis Biomarkers Brain
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[Diagnostics and Therapy 24/7? Artificial Intelligence as a Challenge and Opportunity in Psychiatry and Psychotherapy].

Psychiatrische Praxis Mar 2, 2021
OBJECTIVE: The aim of the article is to enable a fundamental understanding of the potentials and requirements of Artificial Intelligence (AI) for psychiatrists in the present and for the development of future working environments. Psychiatrists will ...
Humans Artificial Intelligence Mental Disorders Psychiatry Psychotherapy Germany
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Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom.

Biological psychiatry. Cognitive neuroscience and neuroimaging Feb 8, 2021
Artificial intelligence (AI) is increasingly employed in health care fields such as oncology, radiology, and dermatology. However, the use of AI in mental health care and neurobiological research has been modest. Given the high morbidity and mortalit...
Mental Health United States Intelligence Humans Artificial Intelligence Mental Disorders
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Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research.

Experimental neurology Jan 26, 2021
By promising more accurate diagnostics and individual treatment recommendations, deep neural networks and in particular convolutional neural networks have advanced to a powerful tool in medical imaging. Here, we first give an introduction into method...
Mental Disorders Psychiatry Biomedical Research Deep Learning Humans Neuroimaging Neural Networks, Computer
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Machine learning reveals bilateral distribution of somatic L1 insertions in human neurons and glia.

Nature neuroscience Jan 11, 2021
Retrotransposons can cause somatic genome variation in the human nervous system, which is hypothesized to have relevance to brain development and neuropsychiatric disease. However, the detection of individual somatic mobile element insertions present...
Genome Neuroglia Cation Transport Proteins Retroelements Mutagenesis, Insertional Schizophrenia High-Throughput Nucleotide Sequencing Mental Disorders HeLa Cells Embryonic Development Pregnancy Long Interspersed Nucleotide Elements Female Adaptor Proteins, Signal Transducing Adult Neurons Humans Machine Learning
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A network-based machine-learning framework to identify both functional modules and disease genes.

Human genetics Jan 7, 2021
Disease gene identification is a critical step towards uncovering the molecular mechanisms of diseases and systematically investigating complex disease phenotypes. Despite considerable efforts to develop powerful computing methods, candidate gene ide...
Humans Amino Acid Sequence Mental Disorders Musculoskeletal Diseases Metabolic Diseases Neoplasms Protein Interaction Mapping Predictive Value of Tests Terminology as Topic Neurodegenerative Diseases Gene Regulatory Networks Immune System Diseases Gastrointestinal Diseases Supervised Machine Learning Metabolic Networks and Pathways Computational Biology
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Predicting hospitalization following psychiatric crisis care using machine learning.

BMC medical informatics and decision making Dec 10, 2020
BACKGROUND: Accurate prediction models for whether patients on the verge of a psychiatric criseis need hospitalization are lacking and machine learning methods may help improve the accuracy of psychiatric hospitalization prediction models. In this pa...
Hospitalization Aged Family Characteristics Forecasting Male ROC Curve Adult Mental Disorders Logistic Models Middle Aged Humans Female Machine Learning Algorithms
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