AI Medical Compendium

Harmonizing patient-reported outcome measures for nasal complaints using traditional and machine learning methods.

International journal of medical informatics Feb 2, 2026

BACKGROUND: Nasal obstruction measurement instruments are widely used in the field of nasal surgery. There are various scales that measure nasal obstruction and they differ regarding the number of items, their wording, and the type of response option... read more

Tracing the geographical origin of tiger nut (Cyperus esculentus L) in China based on stable isotopes and mineral elements combined with multi-modal recognition.

Food chemistry Feb 2, 2026

The stable isotopes (δ13C, δ15N, δ2H, and δ18O) and elemental compositions, combined with chemometrics, were used to discriminate tiger nut from different producing regions in China. Statistics showed that there were significantly different in δ15N, ... read more

The lived experience of social anxiety disorder: A conceptual model focused on adolescents and young adults based on published literature and social media listening.

Journal of anxiety disorders Feb 2, 2026

Social anxiety disorder (SAD) affects up to 1 in 8 individuals over their lifetime and is characterized by an intense fear of social situations involving unfamiliar people or possible scrutiny. This retrospective observational study reviewed publishe... read more

A knowledge-driven self-supervised learning method for enhancing EEG-based emotion recognition.

Neural networks : the official journal of the International Neural Network Society Feb 2, 2026

Emotion recognition brain-computer interface (BCI) using electroencephalography (EEG) is crucial for human-computer interaction, medicine, and neuroscience. However, the scarcity of labeled EEG data limits progress in this field. To address this, sel... read more

Improving policy exploitation in online reinforcement learning with instant retrospect action.

Neural networks : the official journal of the International Neural Network Society Feb 2, 2026

Existing value-based online reinforcement learning (RL) algorithms suffer from slow policy exploitation due to ineffective exploration and delayed policy updates. To address these challenges, we propose an algorithm called Instant Retrospect Action (... read more

A hyperspectral co-design framework guided by occlusion sensitivity for early mould detection in bamboo.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 2, 2026

Schizostachyum funghomii McClure is a bamboo species vital to traditional craftsmanship. However, it is highly susceptible to mould, which degrades material quality and poses health risks from mycotoxins. While hyperspectral imaging (HSI) combined wi... read more

Integrative Multiomics and Drug Sensitivity Profiling Reveal Potential Biomarkers and Therapeutic Strategies in Pediatric Solid Tumors.

Cancer research Feb 2, 2026

UNLABELLED: Cure rates for childhood malignancies using established therapy protocols have increased to an average of 80% but have reached a plateau. Moreover, survival rates are particularly low for some pediatric tumors-such as high-risk group 3 me... read more

AI-Enabled Customer Relationship Management Platforms for Patient Services in Health Care, Early Lessons From Governance, and Program-Level Outcomes.

JMIR medical informatics Feb 2, 2026

This research letter summarizes early lessons from 4 enterprise implementations of artificial intelligence-enabled customer relationship management platforms in health care and describes governance practices associated with improvements in affordabil... read more

Research on a spatiotemporal prediction method for two-dimensional temperature fields based on TDLAS array sensors and the SwinLSTM model.

The Analyst Feb 2, 2026

Traditional tunable diode laser absorption spectroscopy (TDLAS) techniques primarily rely on single-point or sparse-point measurements, making it difficult to fully capture the two-dimensional spatial structure of combustion fields. Additionally, exi... read more

Reduction of motion artifacts from photoplethysmography signals using learned convolutional sparse coding.

Physiological measurement Feb 2, 2026

Objective.Wearable devices with embedded photoplethysmography (PPG) enable continuous non-invasive monitoring of cardiac activity, offering a promising strategy to reduce the global burden of cardiovascular diseases. However, monitoring during daily ... read more

Artificial Intelligence Medical Compendium