Psychiatry

Addictions

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

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Reinforcement learning for closed-loop optimisation of spatiotemporal stimulation in patterned neuronal networks

Understanding how neuronal circuits transform inputs into outputs requires systematic perturbation u...

Sustaining Control and Agency Under Threat: Computational Pathways to Persistence and Escape

Adaptive behavior requires deciding when to persist and when to disengage under uncertainty and part...

Case-Grounded Evidence Verification: A Framework for Constructing Evidence-Sensitive Supervision

Evidence-grounded reasoning requires more than attaching retrieved text to a prediction: a model sho...

Development and Temporal Evaluation of Multimodal Machine Learning Models to Predict High Inpatient Opioid Exposure

High inpatient opioid exposure is associated with increased risk of persistent opioid use. Early ide...

Evolutionary exploration of drug-like chemical space utilizing generative AI and virtual screening

The identification of suitable lead molecules in the vast chemical space is a critical and challengi...

Altered EEG markers of reward learning during abstinence in alcohol dependence: a probabilistic reversal learning study

Maladaptive reward learning and decision-making circuity are key factors in the onset and progressio...

Opioids Overdose Death Prediction with Graph Neural Networks

The opioid crisis has severely impacted Ohio, with overdose death rates surpassing national averages...

Seismic full-waveform inversion based on a physics-driven generative adversarial network

Objectives: Full-waveform inversion (FWI) is a high-resolution geophysical imaging technique that re...

Consumption of Reinforcing Solutions Engages Dynamic Activityof the Prelimbic Cortical Outputs

The medial prefrontal cortex integrates information about salience and valence of stimuli, including...

Trustworthy personalized treatment selection: causal effect-trees and calibration in perioperative medicine

Background Personalized medicine promises to tailor treatments to the individual, but it carries a h...

Beyond Accuracy: Evaluating Visual Grounding In Multimodal Medical Reasoning

Recent work shows that text-only reinforcement learning with verifiable rewards (RLVR) can match or ...

Enhanced Insights into Alcohol Use Disorder from Lifestyle, Background, and Family History in a Large-Scale Machine Learning Study

Alcohol Use Disorder (AUD) is a multifactorial condition with severe individual and societal impacts...

Cognition, Lifestyles, and Environments: Quantifying the Roles of Body Physiology and the Brain

Lifestyle and environmental factors such as diet, physical activity, residential greenspace exposure...

Cannabis Use Documentation within the Electronic Health Record: A Use Case for Natural Language Processing Methods

Introduction: Recreational and medical cannabis use (CU) information is often available within the e...

vToxiNet: a biologically constrained deep learning framework for interpretable prediction of drug-induced hepatotoxicity

Hepatotoxicity remains a leading cause of drug attrition and post-marketing withdrawal, resulting fr...

NICO-RAG: Multimodal Hypergraph Retrieval-Augmented Generation for Understanding the Nicotine Public Health Crisis

The nicotine addiction public health crisis continues to be pervasive. In this century alone, the to...

Machine learning-based prediction of cardiovascular disease risk in Africa using WHO Stepwise Surveys: 2014-2019

Introduction: Cardiovascular diseases (CVDs) are the leading cause of death globally, with rising bu...

When Experience Leaves a Trace: Consolidation-Dependent Persistence in Artificial Agents

Across minimal neural networks and small transformer models, we demonstrate that experience ordering...

Disparities, Perceived Discrimination, and Patient-Clinician Communication in Alcohol Use Disorder Treatment: An All of Us Cohort Study

Background and Aims: Alcohol use disorder (AUD) remains a major public health concern, with persiste...

Natural Language Processing Analysis of Australian Health Practitioner Disciplinary Tribunal Decisions, 1999-2026

Background: Australian health practitioners are regulated under the Health Practitioner Regulation N...

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