Results 201 to 210 of about 31,797 (289)
Artificial intelligence in endodontic decision-making: hallucinations and emerging challenges for clinical practice. [PDF]
Brasil da Silva CWL +6 more
europepmc +1 more source
Auditory gamma‐band synchronization and attentional performance in juvenile myoclonic epilepsy
Abstract Objective Cognitive difficulties in juvenile myoclonic epilepsy (JME) are part of the clinical phenotype alongside epileptic seizures; however, the underlying neurophysiological mechanisms remain unclear. Auditory steady‐state responses (ASSRs) to repetitive 40‐ and 80‐Hz stimuli are widely used measures of gamma‐band oscillations (GBOs ...
Ryo Mitoma +12 more
wiley +1 more source
Virtual Reality-Assisted Therapy Compared to Cognitive Behavioral Therapy for Patients With Treatment-Resistant Schizophrenia: Assessor-Blind Randomized Controlled Trial. [PDF]
Beaudoin M +12 more
europepmc +1 more source
A Knowledge‐Augmented Wearable System for Interpretable Plant Health Monitoring
We present K‐Wear, a knowledge‐augmented wearable system for interpretable plant health monitoring. A soft multimodal sensing platform continuously captures spectral, humidity, and temperature signals from plant leaves, which are processed through a knowledge‐guided large language model reasoning framework to generate mechanistic diagnoses and ...
Xingxing Dong +9 more
wiley +1 more source
A reproducible statistical evaluation framework for large-sample assessment of AI-generated medical references: cross-platform application of the reference hallucination score. [PDF]
Taş N, Erden Y, Temel MH, Bağcıer F.
europepmc +1 more source
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob +4 more
wiley +1 more source
Large language models (LLMs) demonstrated variable proficiency in resident physician in radiology questions, with Gemini‐2.0 showing higher accuracy. Repeated self‐examination of LLMs through the introduction of doubt does not consistently or significantly enhance their performance on radiology‐related questions. ABSTRACT Background The capabilities of
Zheng Zhu +5 more
wiley +1 more source

