Psychiatry

Latest AI and machine learning research in psychiatry for healthcare professionals.

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Machine Learning and Prediction in Fetal, Infant, and Toddler Neuroimaging: A Review and Primer.

Predictive models in neuroimaging are increasingly designed with the intent to improve risk stratifi...

Identifying autism spectrum disorder in resting-state fNIRS signals based on multiscale entropy and a two-branch deep learning network.

BACKGROUND: The demand for early and precise identification of autism spectrum disorder (ASD) presen...

Brain Age Prediction/Classification through Recurrent Deep Learning with Electroencephalogram Recordings of Seizure Subjects.

With modern population growth and an increase in the average lifespan, more patients are becoming af...

Staging Paro: The care of making robot(s) care.

Paro, a baby seal robot, is arguably the best-known care robot worldwide. Its clinical effects on pe...

A deep learning based model using RNN-LSTM for the Detection of Schizophrenia from EEG data.

Normal life can be ensured for schizophrenic patients if diagnosed early. Electroencephalogram (EEG)...

From promise to practice: towards the realisation of AI-informed mental health care.

In this Series paper, we explore the promises and challenges of artificial intelligence (AI)-based p...

Expectations for Artificial Intelligence (AI) in Psychiatry.

PURPOSE OF REVIEW: Artificial intelligence (AI) is often presented as a transformative technology fo...

Predicting the evolution trajectory of population-driven connectional brain templates using recurrent multigraph neural networks.

The mapping of the time-dependent evolution of the human brain connectivity using longitudinal and m...

A Novel Affective Analysis System Modeling Method Integrating Affective Cognitive Model and Bi-LSTM Neural Network.

The severity of mental health issues among college students has increased over the past few years, h...

Influence of Voice Interactive Educational Robot Combined with Artificial Intelligence for the Development of Adolescents.

In the context of multicultural information, to explore and analyze the use effect of voice interact...

Analysis of the Correlation between College Music Education and Public Mental Health Based on Deep Learning.

With the continuous changes of college music education and public mental health problems, convention...

Computer assisted identification of stress, anxiety, depression (SAD) in students: A state-of-the-art review.

Stress, depression, and anxiety are a person's physiological states that emerge from various body fe...

Multimodal fusion diagnosis of depression and anxiety based on CNN-LSTM model.

BACKGROUND: In recent years, more and more people suffer from depression and anxiety. These symptoms...

Detecting and Analyzing Suicidal Ideation on Social Media Using Deep Learning and Machine Learning Models.

Individuals who suffer from suicidal ideation frequently express their views and ideas on social med...

Logistic Regression With Machine Learning Sheds Light on the Problematic Sexual Behavior Phenotype.

OBJECTIVES: There has been a longstanding debate about whether the mechanisms involved in problemati...

One Size Does Not Fit All: Methodological Considerations for Brain-Based Predictive Modeling in Psychiatry.

Psychiatric illnesses are heterogeneous in nature. No illness manifests in the same way across indiv...

A Deep Learning-Based TE Method for MSs' Mental Health Analysis.

Teaching evaluation (TE) is of great significance in education and can judge the value and appropria...

Data augmentation with Mixup: Enhancing performance of a functional neuroimaging-based prognostic deep learning classifier in recent onset psychosis.

Although deep learning holds great promise as a prognostic tool in psychiatry, a limitation of the m...

Robotic radical distal gastrectomy for gastric cancer using the soft coagulation scissors technique.

We have developed a novel technique for safe and precise lymph-node dissection during robotic gastre...

Toward Mental Effort Measurement Using Electrodermal Activity Features.

The ability to monitor mental effort during a task using a wearable sensor may improve productivity ...

Effect of Reading Activities on Children's Mental Health under the Environment of Artificial Intelligence and Deep Learning.

The illustrations in picture books are lovely and emotional; pictures and text work together to expr...

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