AI Medical Compendium

Early management of acute heart failure.

Current opinion in critical care Jan 19, 2026

PURPOSE OF REVIEW: Acute heart failure (AHF) is a frequent, high-risk emergency department presentation in which early diagnostic and therapeutic decisions strongly influence outcomes. This review is timely as new evidence is reshaping the first hour... read more

Evolution of the gut microbiome in infancy: recent advances.

Current opinion in clinical nutrition and metabolic care Jan 19, 2026

PURPOSE OF REVIEW: The early-life gut microbiome is a dynamic ecosystem that alongside other niches, such as the oral and skin microbiomes, undergoes rapid assembly and genetic evolution from birth through to adulthood. Although it was originally con... read more

Robust orthogonal NMF with label propagation for image clustering.

Neural networks : the official journal of the International Neural Network Society Jan 19, 2026

Non-negative matrix factorization (NMF) is a popular unsupervised learning approach widely used in image clustering. However, in real-world clustering scenarios, most existing NMF methods are highly sensitive to noise corruption and are unable to eff... read more

Systemic Microvasculature Frailty: Brain frailty score predicts contrast-associated acute kidney injury after thrombectomy for stroke.

Clinical neurology and neurosurgery Jan 19, 2026

BACKGROUND: Contrast-associated acute kidney injury (CA-AKI) is a frequent complication after mechanical thrombectomy (MT). Cerebral small vessel disease (CSVD) reflects cerebral microvascular dysfunction driven by systemic vascular risk factors that... read more

SCAD: A self-constrained solution to automate context-guided zero-shot image anomaly detection.

Neural networks : the official journal of the International Neural Network Society Jan 19, 2026

Image anomaly detection (IAD) usually requires a separated train set to build an inductive model, which then infers on the test set. However, the cost of collecting and labeling training images has inspired zero-shot IAD (ZS-IAD), which directly proc... read more

Data-driven assessment of nitrogen and phosphorus buffering capacity across 460 Chinese watersheds: Spatial patterns, drivers, and future projections.

Water research Jan 19, 2026

Watershed nitrogen and phosphorus buffering capacity refers to the capacity of a watershed to retain nitrogen and phosphorus in soil, groundwater, and sediments, playing an important regulatory role in balancing human-induced nutrient inputs with dow... read more

TSMS-SAM2: Multi-scale Temporal Sampling Augmentation and Memory-Splitting Pruning for Promptable Video Object Segmentation and Tracking in Surgical Scenarios.

Machine learning. Health Jan 19, 2026

Promptable video object segmentation and tracking (VOST) has seen significant advances with the emergence of foundation models like Segment Anything Model 2 (SAM2); however, their application in surgical video analysis remains challenging due to comp... read more

Advances and innovations in machine learning-based spectral detection methods for trace organic pollutants.

The Analyst Jan 19, 2026

The rapid and sensitive detection of trace organic pollutants in water is crucial for ensuring environmental safety. Traditional detection methods struggle to meet the demands of large-scale, real-time, and on-site detection. This paper reviews recen... read more

Progress of lateral flow assays for the detection of molecular and microbial species: from basic formats to microfluids, CRISPR and artificial intelligence.

The Analyst Jan 19, 2026

Lateral flow assays (LFAs) have garnered much interest in the biomedical and agricultural sciences because of their user-friendly design, quick turnaround times, minimal interference, affordability, and ease of use by individuals. To date, many resea... read more

Humans Artificial Intelligence Bacteria

Artificial intelligence for schizophrenia: from unimodal prediction to multimodal characterization.

Current opinion in psychiatry Jan 19, 2026

PURPOSE OF REVIEW: Artificial intelligence is increasingly advancing both fundamental research and clinical applications in schizophrenia. This review surveys recent literature on artificial intelligence driven approaches for schizophrenia diagnosis,... read more

Artificial Intelligence Medical Compendium