Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 57,761 to 57,770 of 227,388 articles

Education Research: Bridging the Artificial Intelligence Training Gap: Evidence from a National Survey of Italian Neurology Residents.

Neurology. Education Jan 27, 2026
BACKGROUND AND OBJECTIVES: As artificial intelligence (AI) rapidly becomes an integral tool in clinical neurology, future clinicians will need to master its application in patient care. While previous studies focused primarily on medical students' pe... read more 

Implementation of electronic patient-reported outcomes in supportive care for oncology patients.

Current opinion in supportive and palliative care Jan 27, 2026
PURPOSE OF REVIEW: Patient-reported outcomes (PROs) have become increasingly important in oncology, capturing the patient perspective on symptoms, treatment effects, and health-related quality of life. Transitioning to electronic platforms (ePROs) en... read more 

Trace-level detection of free polycyclic aromatic hydrocarbons based on magnetic driving and deep learning-assisted recognition.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 27, 2026
Polycyclic aromatic hydrocarbons (PAHs) are persistent organic pollutants with strong carcinogenicity and bioaccumulation, posing serious threats to aquatic ecosystems and human health. However, the sensitive and accurate detection of trace-level PAH... read more 

Unveiling umami peptides in Gannan morels: Dual-processing extraction and flavor-enhancing mechanisms.

Food chemistry Jan 27, 2026
Gannan morels (Morchella spp.) are increasingly cultivated in China. This study shows that they have high crude protein content (34.12 ± 3.30 g/100 g), with umami amino acids making up 13.26% of total amino acids, suggesting they are a promising subs... read more 

Large-scale DNA organization analysis of primary breast cancers for prediction of axillary lymph node metastases.

Breast (Edinburgh, Scotland) Jan 27, 2026
Breast cancer is the leading cause of cancer-related deaths among women worldwide. It is standard practice for patients to undergo a sentinel lymph node biopsy (SLNB) with breast surgery for staging. However, more than 60% of patients with primary op... read more 

Reinforcement learning via conservative agent for environments with random delays.

Neural networks : the official journal of the International Neural Network Society Jan 27, 2026
Real-world reinforcement learning applications are often subject to unavoidable delayed feedback from the environment. Under such conditions, the standard state representation may no longer induce Markovian dynamics unless additional information is i... read more 

HpMiX: A Disease ceRNA biomarker prediction framework driven by graph topology-constrained Mixup and hypergraph residual enhancement.

Neural networks : the official journal of the International Neural Network Society Jan 27, 2026
The competing endogenous RNA (ceRNA) regulatory network (CENA) plays a critical role in elucidating the molecular mechanisms of diseases. However, existing computational methods primarily focus on modeling local topological structures of biological n... read more 

Improved exponential stability of time delay neural networks via separated-matrix-based integral inequalities.

Neural networks : the official journal of the International Neural Network Society Jan 27, 2026
This paper studies the exponential stability of neural networks with time delays. A separated-matrix-based integral inequality is proposed to incorporate more delay information. It not only reflects the information of each component in the state-rela... read more 

Smart insurance analytics: A novel ensemble feature selection approach to unlock health insurance coverage predictions in Sierra Leone.

International journal of medical informatics Jan 27, 2026
BACKGROUND: Predicting health insurance uptake remains a critical challenge for policymakers and insurance providers seeking to optimise coverage strategies and resource allocation. In Sierra Leone, health insurance uptake remains extremely low, and ... read more 

Distinguishing a drug use disorder from drug use in a high-risk sample of youth: A random forest classification and explanatory analysis.

Drug and alcohol dependence reports Jan 27, 2026
Although many adolescents and young adults experiment with drugs, a subset may develop a drug use disorder (DUD). Few studies have used machine learning to identify risk and protective factors associated with DUDs, and to the best of our knowledge, n... read more 
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