AI Medical Compendium

Research on Alzheimer's Disease Risk Assessment Models and Biomarker Screening Based on Bioinformatics Analysis and Machine Learning Algorithms.

Current Alzheimer research Mar 24, 2026

INTRODUCTION: Alzheimer's Disease (AD) is among the most prevalent neurodegenerative disorders globally, yet effective early diagnostic strategies remain lacking. Advances in multi-omics technologies and the integration of artificial intelligence int... read more

Emerging Roles of Small-molecule Derivatives in Modulating Neurodegenerative Pathways: From Molecular Targets to Therapeutic Applications.

Mini reviews in medicinal chemistry Mar 24, 2026

Neurodegenerative disorders such as Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, and Huntington's disease involve progressive neuronal dysfunction driven by mechanisms including protein aggregation, oxidative stress, mitoc... read more

Letter to the Editor: "Evaluating the efficacy of large language models in predicting intensive care unit admission needs".

Journal of critical care Mar 24, 2026

This letter comments on the study by Turan et al., which evaluates the efficacy of large language models (LLMs) in predicting ICU admission needs. While commending the rigorous benchmark established for off-the-shelf LLMs, we propose methodological d... read more

[Correction of refractive errors by subtractive corneal surgery: History and perspectives].

Journal francais d'ophtalmologie Mar 24, 2026

The goal of this review is to trace the history of refractive correction, from the earliest optical devices to modern refractive surgical techniques. Following the invention of spectacles in the Middle Ages, the first corneal procedures, such as Sato... read more

[Imaging modalities for corneal neovascularization].

Journal francais d'ophtalmologie Mar 24, 2026

Corneal neovascularization (CNV) is a frequent complication of many ocular surface diseases and represents a major threat to corneal transparency, visual function, and corneal graft survival. Accurate characterization, longitudinal monitoring, and as... read more

Antimicrobial discovery from underexplored environments: unlocking specialized metabolism.

Current opinion in microbiology Mar 24, 2026

The discovery of antibiotics transformed modern medicine and extended the average human lifespan by decades. However, the initial golden era of antibiotic discovery has significantly waned, a decline aggravated by the relentless evolution of drug res... read more

Development and validation of an interpretable machine learning model integrating inflammatory blood biomarkers for predicting postoperative breast cancer-related lymphedema: A prospective cohort study.

Surgery Mar 24, 2026

BACKGROUND: Breast cancer-related lymphedema is a frequent and debilitating complication. Early identification of high-risk individuals is critical, yet conventional risk models rarely incorporate systemic inflammatory status. METHODS: In this prospe... read more

Optimized Complex-Valued Spatio-Temporal Graph Convolutional Networks for attention deficit hyperactivity disorder detection in pediatric EEG signals.

Computers in biology and medicine Mar 24, 2026

Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental condition affecting mood, anxiety, learning, and sleep. Electroencephalogram (EEG) signals assist diagnosis, but challenges include complexity, nonlinearity, non-stationarity, ov... read more

Artificial Intelligence-Driven Segmentation of Three Oral Diseases: Enabling Precision Diagnosis and Decision Support.

International dental journal Mar 24, 2026

INTRODUCTION: The advancement of AI-assisted oral disease diagnosis critically relies on the availability of annotated, high-quality datasets and resilient deep learning architectures. Nevertheless, progress in this domain has been impeded by the sca... read more

Predicting CT-based coronal plane knee phenotype parameters using imageless navigation and machine learning.

The Knee Mar 24, 2026

BACKGROUND: Coronal plane alignment of the knee (CPAK) categorizes knee phenotypes according to joint line obliquity (JLO) and the arithmetic hip‒knee‒ankle angle (aHKA). CPAK is traditionally measured via long leg radiographs, but recently other mod... read more

Artificial Intelligence Medical Compendium