AIMC Topic: Psychiatry

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Network-based artificial intelligence approaches for advancing personalized psychiatry.

American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics
Psychiatric disorders have a complex biological underpinning likely involving an interplay of genetic and environmental risk contributions. Substantial efforts are being made to use artificial intelligence approaches to integrate features within and ...

Real concerns, artificial intelligence: Reality testing for psychiatrists.

International review of psychiatry (Abingdon, England)
The use of augmented or artificial intelligence (AI) in healthcare promises groundbreaking advancements, from increasing diagnostic accuracy and minimizing clinical errors to personalized treatment plans and automated clinical decision-making. Its us...

Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry.

NeuroImage
The perspective of personalized medicine for brain disorders requires efficient learning models for anatomical neuroimaging-based prediction of clinical conditions. There is now a consensus on the benefit of deep learning (DL) in addressing many medi...

Navigating merits and limits on the current perspectives and ethical challenges in the utilization of artificial intelligence in psychiatry - An exploratory mixed methods study.

Asian journal of psychiatry
BACKGROUND: The integration of Artificial Intelligence (AI) in psychiatry presents opportunities for enhancing patient care but raises significant ethical concerns and challenges in clinical application. Addressing these challenges necessitates an in...

New technology, psychiatry, and the law: Panic, prudence, possibility.

International journal of law and psychiatry
Throughout human history, all new technology has been met with surprise, anxiety, panic, and - eventually - prudent adoption of certain aspects of specific technological advances. This pattern is evident in the histories of most technologies, ranging...

A primer on the use of machine learning to distil knowledge from data in biological psychiatry.

Molecular psychiatry
Applications of machine learning in the biomedical sciences are growing rapidly. This growth has been spurred by diverse cross-institutional and interdisciplinary collaborations, public availability of large datasets, an increase in the accessibility...

Robotics in psychiatry - Fiction or reality. A reply.

European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology