Artificial Intelligence Medical Compendium

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

Showing 20,511 to 20,520 of 215,962 articles

Minority class-aware multiclass arrhythmia detection using conditional GAN augmentation.

Scientific reports May 11, 2026
The detection of cardiac arrhythmias from electrocardiogram (ECG) signals is essential for preventing sudden cardiac deaths. However, model performance on minority classes, such as supraventricular (S) and fusion (F) beats, which make up less than 3%... read more 

Insights into SIRT2 inhibition from machine learning-assisted multi-level screening of the NCI database.

Scientific reports May 11, 2026
The nicotinamide adenine dinucleotide (NAD+)-dependent deacetylase Sirtuin 2 (SIRT2) plays a regulatory function in diverse cellular processes and has been linked to aging and the development of neurodegenerative and cancerous diseases. Consequently,... read more 

Identification of PTPRR gene associated with cirrhosis and sarcopenia based on bioinformatics and machine learning.

European journal of clinical nutrition May 11, 2026
BACKGROUND: Cirrhosis and sarcopenia frequently coexist and are associated with poor clinical outcomes; however, their shared genetic basis remains incompletely understood. METHODS: We applied conditional and conjunctional false discovery rate (cFDR/... read more 

Unsupervised risk factor identification across cancer types and data modalities via explainable artificial intelligence.

NPJ digital medicine May 11, 2026
Risk stratification is an important tool in clinical decision-making, yet current approaches often fail to translate sophisticated survival analysis into actionable clinical criteria. We present a novel method for training any neural network architec... read more 

Change-point detection and early warning systems.

Scientific reports May 11, 2026
This paper presents a statistical framework for early warning change-point detection in electrical grid frequency time series. Frequency deviations outside the tolerance band of 49.85-50.15 Hz are treated as error events. A high-volatility (HV) measu... read more 

Multimodal deep learning framework for recurrence risk stratification in soft tissue sarcoma: a multicenter study.

NPJ precision oncology May 11, 2026
Accurate prediction of recurrence risk is essential to devise effective and personalized treatment strategies for patients with soft tissue sarcoma (STS). This study aimed to develop and validate a multimodal deep learning framework that integrates c... read more 

Strategies of high-accuracy memristor-based analogue computing in memory for artificial intelligence.

Nature materials May 11, 2026
Memristor-based analogue computing in memory (CIM) offers revolutionary gains in energy efficiency and computing power for data-intensive applications such as artificial intelligence. However, it typically struggles with achieving high accuracy at th... read more 

Transcriptomic Analysis of Shared Lipid Metabolism in Chronic Hepatitis B and Non-Alcoholic Fatty Liver Disease Using Weighted Gene Expression Network Analysis.

Lipids May 11, 2026
Chronic hepatitis B (CHB) and non-alcoholic fatty liver disease (NAFLD) frequently coexist, and lipid metabolic dysregulation may represent a shared biological feature between these conditions. However, the molecular mechanisms linking these conditio... read more 

A Unified Deep Learning Framework for Instance Segmentation Across Diverse Cytological Stains.

Cytopathology : official journal of the British Society for Clinical Cytology May 11, 2026
OBJECTIVE: Assess whether a single instance-segmentation model can operate robustly across multiple cytological stains, avoiding stain-specific pipelines without sacrificing accuracy. METHODS: We consolidated three expert-annotated datasets (Papanico... read more 

Artificial Intelligence in Breast Cancer Lymph Node Evaluation: Is Neoadjuvant Chemotherapy the Achilles' Heel?

Archives of pathology & laboratory medicine May 11, 2026
CONTEXT.—: Artificial intelligence (AI) has demonstrated high accuracy in detecting lymph node (LN) metastases in treatment-naïve invasive breast cancer. However, its performance post-neoadjuvant chemotherapy (NACT) remains underexplored, where thera... read more 
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