AI Medical Compendium

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

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology May 21, 2026

OBJECTIVE: This study investigated neurophysiological and behavioural adaptations in reward learning and decision making which may contribute to the development and persistence of alcohol use disorder. METHODS: 20 abstinent alcohol dependent particip... read more

[Automated analysis of mandibular movements for the screening of obstructive sleep apnea].

Revue des maladies respiratoires May 21, 2026

INTRODUCTION: Obstructive sleep apnea syndrome (OSAS) is a highly prevalent condition, particularly among at-risk populations such as patients with obesity, diabetes, or chronic respiratory disease. There is a growing need for simplified, automated d... read more

FDG PET for cardiac sarcoidosis: Protocol optimization, quantification, pitfalls, and multimodality imaging integration.

Seminars in nuclear medicine May 21, 2026

Cardiac sarcoidosis (CS) is a clinically heterogeneous disorder associated with significant morbidity and mortality, including heart failure, conduction abnormalities, ventricular arrhythmias, and sudden cardiac death. Contemporary diagnostic strateg... read more

Comment on "Integrating machine learning into fracture liaison services: toward precision risk stratification in osteoporosis care: a prospective cohort study".

Journal of the Formosan Medical Association = Taiwan yi zhi May 21, 2026

Inhibitory control deficits and ventral attention network alterations linked to apathy in schizophrenia.

Translational psychiatry May 21, 2026

Individuals with schizophrenia demonstrated impaired inhibitory control and apathy symptoms, which are characterized by a reduction in self-initiated voluntary activities. However, whether deficits in inhibitory control are linked to apathy remains u... read more

DGAT: a dual-graph attention network for inferring spatial protein landscapes from transcriptomics.

Nature communications May 21, 2026

Spatial transcriptomics (ST) technologies provide genome-wide transcriptomic profiles in tissue context but lack direct protein-level measurements, which are critical for interpreting cellular function and microenvironmental organization. To bridge t... read more

Robust but independent sex differences in human brain function, structure, and behavior.

Nature communications May 21, 2026

The neurobiological accompaniments of well-established sex differences in human behavior and disease remain unclear - in part due to a lack of large, diverse functional neuroimaging studies. We address this gap using over 700 h of fMRI data across se... read more

The Brain Imaging and Neurophysiology Dataset of large-scale multimodal neural data.

Scientific data May 21, 2026

The Brain Imaging and Neurophysiology Dataset (BIND) represents one of the largest multi-institutional, multimodal, clinical neuroimaging repositories, comprising 1.8 million brain scans from 38,942 patients, linked to full-text reports and neurophys... read more

Optimizing hepatitis C diagnosis through reinforcement learning feature selection and multi-model machine learning evaluation.

Scientific reports May 21, 2026

Hepatitis C virus (HCV) infection remains a leading cause of liver cirrhosis and hepatocellular carcinoma globally, affecting approximately 50 million people with chronic infection worldwide. Traditional diagnostic approaches often rely on extensive ... read more

Bridging laboratory findings and artificial intelligence for the design of TlInTe2 crystals.