Latest AI and machine learning research in schizophrenia for healthcare professionals.
Large Vision-Language Models (LVLMs) exhibit sophisticated reasoning but remain susceptible to objec...
Vision-language models (VLMs) are prone to hallucination, which remains a major barrier to their saf...
Early detection of schizophrenia (SZ) remains challenging due to the subtlety of early-stage brain a...
Drug-induced liver injury (DILI) remains one of the most pressing challenges in drug development, co...
Vision-language models (VLMs) often generate fluent but visually unsupported descriptions, especiall...
Psychosis as a symptom manifests in schizophenia and bipolar disorder, two highly heterogeneous psyc...
Vision-Language models (VLMs) reliability in medical diagnosis is challenged by trust-undermining ha...
AI systems deployed in legal workflows hallucinate at rates that aggregate metrics report at ~52%, b...
Psychosis prevention relies on early detection of individuals at clinical high risk for psychosis (C...
Sparse-view CT reduces radiation dose and scanning time by acquiring fewer projection views, but ang...
Large vision-language models (LVLMs) hallucinate: they assert visual details that the image does not...
Large Language Models (LLMs) are increasingly deployed in healthcare settings, yet their tendency to...
Building trustworthy medical multimodal large language models (MLLMs) is critical for reliable clini...
Background: Concerns about "AI psychosis" have swirled in the media since ChatGPT's release, but few...
Background: We previously examined the burden and predictors of sustained mental health care engagem...
Artificial intelligence (AI) tools have been rapidly adopted by medical researchers, yet whether ear...
Background: Patients with CKD and polypharmacy face high rates of drug-related problems, yet compreh...
Background: Accurate extraction of Human Phenotype Ontology (HPO) terms from clinical notes is essen...
Adolescence is a critical developmental window for the emergence of substance use and psychosis-spec...
Correlation matrices are fundamental summaries of functional brain networks, yet standard analyses o...
Motivation: The ToxCast database is a valuable resource for computational toxicology and new approac...