25 citations · 64 across the 16 of their papers we have counts for
17 papers
LLM-Assisted Abstract Screening with OLIVER: Evaluating Calibration and Single-Model vs. Actor-Critic Configurations in Literature Reviews
Kian Godhwani, David Benrimoh
Introduction: Recent work suggests large language models (LLMs) can accelerate screening, but prior evaluations focus on earlier LLMs, standardized Cochrane reviews, single-model s…
The Role of Affect and Priors in the Generation of Hallucinations in Early Psychosis
Timothy Friesen, Philomène Labilloy, Deven Parekh +14
Background: Stress and negative affect play significant roles in developing psychosis. Bayesian analyses applied to the conditioned hallucinations (CH) task suggest that hallucinat…
Sleep and Activity Patterns as Transdiagnostic Behavioral Biomarkers in Psychiatry: Initial Insights from the DeeP-DD study
Dylan Hamitouche, Tihare Zamorano, Youcef Barkat +3
Background: Symptom rating scales in psychiatry are limited by reliance on self-report, and lack of predictive power. Actigraphy, a passive wearable-based method for measuring slee…
Latent Space Data Fusion Outperforms Early Fusion in Multimodal Mental Health Digital Phenotyping Data
Youcef Barkat, Dylan Hamitouche, Deven Parekh +2
Background: Mental illnesses such as depression and anxiety require improved methods for early detection and personalized intervention. Traditional predictive models often rely on…
The Role of Affective States in Computational Psychiatry
David Benrimoh, Ryan Smith, Andreea O. Diaconescu +7
Studying psychiatric illness has often been limited by difficulties in connecting symptoms and behavior to neurobiology. Computational psychiatry approaches promise to bridge this…
The Einstein Test: Towards a Practical Test of a Machine's Ability to Exhibit Superintelligence
David Benrimoh, Nace Mikus, Ariel Rosenfeld
Creative and disruptive insights (CDIs), such as the development of the theory of relativity, have punctuated human history, marking pivotal shifts in our intellectual trajectory.…
Dynamic Indicators of Adherence and Retention in Digital Health Studies: A Longitudinal Observational Analysis from the Brighten Study
Dylan Hamitouche, Youcef Barkat, Deven Parekh +2
Background: Effective use of mobile health technologies requires high participant adherence and retention. However, remote digital health studies often face high attrition and low…
Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression Medication Enhancement (AIDME) Study
David Benrimoh, Caitrin Armstrong, Joseph Mehltretter +8
INTRODUCTION: The pharmacological treatment of Major Depressive Disorder (MDD) relies on a trial-and-error approach. We introduce an artificial intelligence (AI) model aiming to pe…
A computational account of the development and evolution of psychotic symptoms
Albert Powers, Philip Angelos, Alexandria Bond +15
The mechanisms of psychotic symptoms like hallucinations and delusions are often investigated in fully-formed illness, well after symptoms emerge. These investigations have yielded…
Emergence and dynamics of delusions and hallucinations across stages in early psychosis
Catalina Mourgues-Codern, David Benrimoh, Jay Gandhi +21
Hallucinations and delusions are often grouped together within the positive symptoms of psychosis. However, recent evidence suggests they may be driven by distinct computational an…
Evidence for Reduced Sensory Precision and Increased Reliance on Priors in Hallucination-Prone Individuals in a General Population Sample
David Benrimoh, Victoria L. Fisher, Rashina Seabury +4
There is increasing evidence that people with hallucinations overweight perceptual beliefs relative to incoming sensory evidence. Much past work demonstrating prior overweighting h…
Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies
David Benrimoh, Akiva Kleinerman, Toshi A. Furukawa +17
Major depressive disorder (MDD) is a heterogeneous condition; multiple underlying neurobiological substrates could be associated with treatment response variability. Understanding…
Applying Artificial Intelligence to Clinical Decision Support in Mental Health: What Have We Learned?
Grace Golden, Christina Popescu, Sonia Israel +5
Clinical decision support systems (CDSS) augmented with artificial intelligence (AI) models are emerging as potentially valuable tools in healthcare. Despite their promise, the dev…
Barriers and Solutions to the Adoption of Clinical Tools for Computational Psychiatry
David Benrimoh, Victoria Fisher, Catalina Mourgues +3
Computational psychiatry is a field aimed at developing formal models of information processing in the human brain, and how alterations in this processing can lead to clinical phen…
New designs for Bayesian adaptive cluster-randomized trials
Junwei Shen, Shirin Golchi, Erica E. M. Moodie +1
Adaptive approaches, allowing for more flexible trial design, have been proposed for individually randomized trials to save time or reduce sample size. However, adaptive designs fo…
Computational Mechanism for the Effect of Psychosis Community Treatment: A Conceptual Review from Neurobiology to Social Interaction
David Benrimoh, Ely Sibarium, Andrew Sheldon +1
The computational underpinnings of positive psychotic symptoms have recently received significant attention. Candidate mechanisms include some combination of maladaptive priors and…
Big Data Analytics and AI in Mental Healthcare
Ariel Rosenfeld, David Benrimoh, Caitrin Armstrong +14
Mental health conditions cause a great deal of distress or impairment; depression alone will affect 11% of the world's population. The application of Artificial Intelligence (AI) a…