Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 65,321 to 65,330 of 231,904 articles
External validation of an explainable electrocardiogram-only deep learning algorithm for the prediction of response after cardiac resynchronization therapy.
Heart rhythm
Jan 10, 2026
BACKGROUND: Cardiac resynchronization therapy (CRT) can improve clinical outcomes in patients with dyssynchronous heart failure, but many patients selected according to the current guidelines do not respond. OBJECTIVE: This study aimed to externally ... read more
AI-based assessment of brain volume decrease after treatment with stereotactic radiosurgery versus whole brain radiotherapy.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Jan 10, 2026
BACKGROUND: Radiotherapy is a cornerstone in the treatment of brain metastases, but its mid- and long-term impact on brain parenchyma remains poorly understood. This study aimed to assess the differential volumetric alterations in the brain following... read more
Machine learning for the prediction of atrial fibrillation recurrence after catheter ablation: A systematic review and meta-analysis.
Computer methods and programs in biomedicine
Jan 10, 2026
BACKGROUND AND OBJECTIVE: This systematic review evaluates the current state of Machine Learning (ML) methods for predicting Atrial Fibrillation (AF) recurrence following catheter ablation. With the growing use of ML, a systematic evaluation of perfo... read more
Preliminary insights into artificial intelligence guided dosing in hypertension and diabetes: challenges and lessons learnt in a pilot feasibility study.
JAMIA open
Jan 10, 2026
OBJECTIVE: CURATE.AI is an artificial intelligence platform enabling personalised drug dosing. Aims:1) Determine the feasibility of using CURATE.AI in the outpatient setting.2) Compare the consistency of CURATE.AI recommendations derived from differe... read more
Machine learning assisted raman spectroscopy for the classification of ovarian cancer cells.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Jan 10, 2026
Ovarian cancer is one of the most lethal gynecological malignancies, asymptomatic early progression, ineffective screening, and high histological heterogeneity. Accurate subtype classification and detection of chemotherapy resistance are critical for... read more
An online forecasting-based fine-tuning pipeline for time-series anomaly prediction.
Neural networks : the official journal of the International Neural Network Society
Jan 10, 2026
Time-series anomaly detection is critical for numerous real-world applications and has been extensively studied. However, existing methods are typically designed to identify anomalies within a complete time series. In other words, they rely on access... read more
Key-value pair-free continual learner via task-specific prompt-prototype.
Neural networks : the official journal of the International Neural Network Society
Jan 10, 2026
Continual learning aims to enable models to acquire new knowledge while retaining previously learned information. Prompt-based methods have shown remarkable performance in this domain; however, they typically rely on key-value pairing, which can intr... read more
A two-stage active cleaning strategy for long-tail label noise.
Neural networks : the official journal of the International Neural Network Society
Jan 10, 2026
Long-tailed data is ubiquitous in real-world applications, posing significant challenges due to imbalanced class distribution and high levels of label noise. Previous methods to address long-tailed data with label noise often incur high computational... read more
Exploring cognitive workload recognition using CogRepLKNet with EEG-fMRI.
Neural networks : the official journal of the International Neural Network Society
Jan 10, 2026
Accurate multimodal Cognitive Workload Recognition (CWR) remains challenging due to the difficulty of modeling cross-modal relationships between Electroencephalography (EEG) and Functional Magnetic Resonance Imaging (fMRI) data. Additionally, the inh... read more
AdaAlign: A unified solution for traditional and modern zero-shot sketch-based image retrieval.
Neural networks : the official journal of the International Neural Network Society
Jan 10, 2026
Zero-shot sketch-based image retrieval (ZS-SBIR) is challenging due to the cross-domain nature of sketches and photos, as well as the semantic gap between seen and unseen classes. With the rapid advancements in modern large vision-language models (VL... read more
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