AIMC Topic: Psychiatry

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Making Sense of Computational Psychiatry.

The international journal of neuropsychopharmacology May 27, 2020
In psychiatry we often speak of constructing "models." Here we try to make sense of what such a claim might mean, starting with the most fundamental question: "What is (and isn't) a model?" We then discuss, in a concrete measurable sense, what it mea...
Mental Disorders Psychiatry Humans Artificial Intelligence Models, Statistical Therapy, Computer-Assisted Computer Simulation Models, Psychological Diagnosis, Computer-Assisted
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Using Machine Learning in Psychiatry: The Need to Establish a Framework That Nurtures Trustworthiness.

Schizophrenia bulletin Jan 4, 2020
The rapid embracing of artificial intelligence in psychiatry has a flavor of being the current "wild west"; a multidisciplinary approach that is very technical and complex, yet seems to produce findings that resonate. These studies are hard to review...
Machine Learning Psychiatry Humans Models, Theoretical
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Artificial Intelligence and the Future of Psychiatry.

IEEE pulse Jan 1, 2020
An estimated 792 million people live with mental health disorders worldwide-more than one in ten people-and this number is expected to grow in the shadow of the Coronavirus disease 2019 (COVID-19) pandemic. Unfortunately, there aren't enough mental h...
Artificial Intelligence Pandemics COVID-19 Humans Mobile Applications SARS-CoV-2 Psychotherapy Smartphone Betacoronavirus Mental Disorders Pneumonia, Viral Psychiatry Coronavirus Infections
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[Autism spectrum disorder biomarkers based on biosignals, virtual reality and artificial intelligence].

Medicina Jan 1, 2020
It has been observed that the stratification of Autism Spectrum Disorders (ASD) generated by the current scales is not effective for the personalization of early treatments. The clinical evaluation of ASD requires its consideration as a continuum of ...
Virtual Reality Exposure Therapy Biomarkers Autism Spectrum Disorder Psychiatry Medical Informatics Humans Artificial Intelligence
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Editorial: Are computers going to take over: implications of machine learning and computational psychiatry for trainees and practising clinicians.

Journal of child psychology and psychiatry, and allied disciplines Dec 1, 2019
Are computers going to take over? In some ways they already have, and they are bound to take over more. As clinicians and researchers, what do we need to do in order to handle, trust, and evaluate intelligent machines?
Deep Learning Computational Biology Humans Psychiatry
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Machine Learning in Neural Networks.

Advances in experimental medicine and biology Jan 1, 2019
Evidence now suggests that precision psychiatry is becoming a cornerstone of medical practices by providing the patient of psychiatric disorders with the right medication at the right dose at the right time. In light of recent advances in neuroimagin...
Neural Networks, Computer Humans Artificial Intelligence Mental Disorders Machine Learning Neuroimaging Psychiatry
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Artificial Intelligence in Psychiatry.

Advances in experimental medicine and biology Jan 1, 2019
Scientific findings over the past few decades have shaped our understanding of the underlying neurobiology associated with psychiatric illnesses. However, despite significant advances in research, there is widespread disappointment with the overall p...
Artificial Intelligence Algorithms Psychiatry Precision Medicine Mental Disorders Humans
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[Artificial Intelligence in Psychiatry].

Brain and nerve = Shinkei kenkyu no shinpo Jan 1, 2019
Diagnosis of psychiatric disorders is based primarily on subjective symptoms, and neuroimaging or other biological examinations are used for excluding organic disorders. Advances in artificial intelligence technologies, such as machine learning, may ...
Depression Machine Learning Neuroimaging Magnetic Resonance Imaging Psychiatry Humans Artificial Intelligence
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[Artificial intelligence in psychiatry-an overview].

Der Nervenarzt Aug 1, 2018
Artificial intelligence and the underlying methods of machine learning and neuronal networks (NN) have made dramatic progress in recent years and have allowed computers to reach superhuman performance in domains that used to be thought of as uniquely...
Machine Learning Psychiatry Humans Neural Networks, Computer Precision Medicine Artificial Intelligence
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Using life's digital detritus to feed discovery.

The lancet. Psychiatry Mar 1, 2017
Mental Health Psychiatry Humans Early Diagnosis Machine Learning Risk Factors Social Media
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