AI Medical Compendium

AI-based prediction of best-corrected visual acuity in patients with multiple retinal diseases using multimodal medical imaging.

The British journal of ophthalmology Jan 22, 2026

BACKGROUND/AIMS: This study evaluated the performance of artificial intelligence (AI) algorithms in predicting best-corrected visual acuity (BCVA) for patients with multiple retinal diseases, using multimodal medical imaging including macular optical... read more

A Deep Learning Model to Detect Acute MCA Occlusion on High-Resolution Noncontrast Head CT.

AJNR. American journal of neuroradiology Jan 22, 2026

BACKGROUND AND PURPOSE: Stroke is a leading cause of morbidity and mortality around the world, with LVO having a disproportionate impact on patient outcomes. Our aim was to assess the feasibility and accuracy of a deep learning (DL) model to identify... read more

Scalability of random forest in myoelectric control.

Journal of neural engineering Jan 22, 2026

Objective.Myoelectric control systems translate electromyographic (EMG) signals into control commands, enabling immersive human-robot interactions in the real world and the Metaverse. The variability of EMG due to various confounding factors leads to... read more

Orthogonal-Rotational Dynamics Supports Efficient Encoding and Updating for Streaming Information in Working Memory.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jan 21, 2026

We rely on the working memory (WM) to organize, store, and process the perpetual stream of information. Efficient encoding and processing of WM requires a framework that (1) separates individual memory items while accurately maintaining their tempora... read more

The Contribution of the Locus Ceruleus-Norepinephrine System to the Coupling between Pupil-Linked Arousal and Cortical State.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jan 21, 2026

Understanding how pupil-linked arousal couples with cortical state is crucial for uncovering the neural mechanisms underlying brain state-dependent cognitive and sensory processing. Pupil size fluctuations reflect rapid changes of the pupil-linked ar... read more

Artificial Intelligence Applications in Thyroid Cancer Care.

The Journal of clinical endocrinology and metabolism Jan 21, 2026

CONTEXT: Artificial intelligence (AI) has created tremendous opportunities to improve thyroid cancer care. EVIDENCE ACQUISITION: We used the "artificial intelligence thyroid cancer" query to search the PubMed database until May 31, 2025. We highlight... read more

Linking subjective experience of anxiety to brain function using natural language processing.

Social cognitive and affective neuroscience Jan 21, 2026

Research on anxiety focuses on clinically relevant behaviours and neurophysiological responses, particularly emphasizing recruitment of amygdala, insula, and cingulate cortex. Whether these same circuits instantiate subjective experience of anxiety r... read more

Using casual inference and machine learning with exposure determinant modeling to identify important workplace controls.

Annals of work exposures and health Jan 21, 2026

OBJECTIVES: Exposure determinant modeling can help industrial hygienists understand where, when, and how to control occupational exposures for their particular work environment. Yet, in practice, the ability to evaluate exposure determinants is degra... read more

Artificial Intelligence Versus Radiologist False-Positives on Digital Breast Tomosynthesis Examinations in a Population-Based Screening Program.

AJR. American journal of roentgenology Jan 21, 2026

BACKGROUND. Insights into the nature of false-positive findings flagged by contemporary mammography artificial intelligence (AI) systems could inform the potential use of AI to reduce false-positive recall rates. OBJECTIVE. The purpose of this study ... read more

AI-driven speech biomarkers for disease diagnosis and monitoring: a systematic review and meta-analysis.

BMJ evidence-based medicine Jan 21, 2026

OBJECTIVE: This study aims to comprehensively review the literature on the use of speech biomarkers in disease diagnosis and monitoring, focusing on recording protocols, speech tasks, speech features and processing algorithms. STUDY DESIGN: Systemati... read more

Artificial Intelligence Medical Compendium