Artificial Intelligence Medical Compendium

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

Showing 29,241 to 29,250 of 219,647 articles

Interpretable Wavelet-CNN for Accurate Serum Raman Lung Cancer Diagnosis under Leakage-Safe, Patient-Level Splits.

Analytical chemistry
Clinical cancer diagnostics require ML that maintains accuracy under biological variability with interpretable feature attribution─a particular challenge for serum-based approaches where healthy and diseased samples share >95% chemical composition. C... read more 

Advances in single-molecule junctions for the detection of hazardous pollutants.

The Analyst
With the continuous development of the global economy, environmental pollution has emerged as a significant challenge impeding sustainable economic development. Consequently, the advancement of highly sensitive pollutant detection technologies plays ... read more 

Optimal treatment selection for hepatocellular carcinoma in the era of immunotherapy.

Journal of gastroenterology
Immunotherapy has revolutionized hepatocellular carcinoma (HCC) management, necessitating personalized strategies in current guidelines. Despite curative intent for early-stage HCC, recurrence rates remain high. While antiviral therapy mitigates risk... read more 

Identification and Experimental Validation of Biomarkers Associated with PI3K/AKT Signaling Pathway in Spinal Cord Injury.

Molecular neurobiology
Spinal cord injury (SCI) refers to trauma to the spinal cord resulting in functional deficits. Dysregulation of the phosphoinositide 3-kinase/serine-threonine kinase (PI3K/AKT) pathway significantly contributes to the pathogenesis of SCI. This study ... read more 

Data-based evidence of normative gait in healthy adults (18-65 years): Demographics, methodology, and data availability-A scoping review.

Gait & posture
BACKGROUND: Normative gait data are essential for research, identifying abnormalities and guiding diagnosis. However, a systematic overview of normative gait data and their characteristics, independent of measurement systems and parameter types, is c... read more 

Large language model-driven decision-making for single-atom Fenton-like catalysts toward wastewater treatment.

Water research
Tailoring catalysts to diverse environmental conditions for wastewater treatment demands rational material design, yet such decisions remain largely empirical due to fragmented literature knowledge. Here we establish an LLM-powered framework designed... read more 

Performance evaluation of five large language models for assisting in the interpretation of urinalysis reports for kidney diseases: a real-world study.

Clinical chemistry and laboratory medicine
OBJECTIVES: Large language models (LLMs) show promise for interpreting laboratory reports, yet real-world validation remains limited. This study evaluated five advanced LLMs in interpreting urinalysis reports for kidney diseases using real-world clin... read more 

Solar-driven rooftop interfacial evaporation system for decentralized rainwater purification.

Water research
A global increase in freshwater scarcity coupled with a heterogeneous distribution of water treatment infrastructure highlights an urgent need for decentralized, low-energy water treatment solutions, particularly in remote off-grid regions. Here, a r... read more 

When evidence meets artificial intelligence.

Lancet regional health. Americas
Evidence-based medicine (EBM) integrates clinical expertise, patient values, and best available research evidence, yet classical trial-based approaches struggle to accommodate the scale, heterogeneity, and structural constraints of contemporary healt... read more 

Development of an automated fruit classification system by using computer vision and deep learning.

HardwareX
With the rapid development of technology in the Industry 4.0 era, computer vision and deep learning have emerged as key technologies supporting industrial systems such as classification and quality inspection with high accuracy, optimizing processes ... read more