AI Medical Compendium

Loyalty-SMOTE: Data synthesis algorithm for effective imbalanced data classification.

Neural networks : the official journal of the International Neural Network Society Feb 3, 2026

Imbalanced datasets are always problematic in training machine learning models, so that classifiers often struggle to achieve satisfactory performance. Numerous approaches have been developed to tackle imbalanced data problems. Among them, some data-... read more

Multi-Scale pattern-Aware task-Gating network for aerial small object detection.

Neural networks : the official journal of the International Neural Network Society Feb 3, 2026

With the advancement of high-precision remote sensing equipment and precision measurement technology, object detection based on remote sensing images (RSIs) has been widely used in military and civilian fields. Different from traditional general-purp... read more

Improving Diagnostic Precision in Thyroid Pathology by Synergistic Use of AI and Molecular Markers.

Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists Feb 3, 2026

OBJECTIVES: For indeterminate thyroid nodules, molecular tests offer high negative predictive value (NPV), reducing missed malignancies, but have limited positive predictive value (PPV), potentially leading to unnecessary surgeries. We evaluated how ... read more

IIC-DTI: A Contrastive Learning Enhanced Inter-Intra Molecular Fusing Framework for Drug-Target Interaction Prediction.

Interdisciplinary sciences, computational life sciences Feb 3, 2026

PURPOSE: Predicting drug-target interactions (DTIs) is a practical demand in drug development and drug repositioning. Therefore, developing accurate and efficient DTI prediction methods has significant application value. Current models focus on the f... read more

Artificial intelligence-assisted triage in dentistry: toward reliable, scalable, and clinically aligned front-door decision support.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 3, 2026

SAM-driven cross prompting with adaptive sampling consistency for semi-supervised medical image segmentation.

Medical image analysis Feb 3, 2026

Semi-supervised learning (SSL) has achieved notable progress in medical image segmentation. To achieve effective SSL, a model needs to be able to efficiently learn from limited labeled data and effectively exploit knowledge from abundant unlabeled da... read more

A Character-level Convolutional Recurrent Interaction Network for joint traditional Chinese medicine clinical named entity recognition and relation extraction.

Artificial intelligence in medicine Feb 3, 2026

The electronic medical record (EMR) of traditional Chinese medicine (TCM) is a crucial document for recording patients' clinical data, structured around four main dimensions: inspection, listening and smelling, inquiry, and palpation. Analyzing these... read more

Applying a statistical model-based AI method to identify prognostic factors for long-term cognitive decline in Alzheimer's disease: Evidence from pooled placebo data of four phase III trials.

International journal of medical informatics Feb 3, 2026

BACKGROUND: Heterogeneity in the long-term progression of Alzheimer's disease (AD) challenges the efficiency of clinical trials. Identifying long-term prognostic factors is critical for enhancing trial efficiency, although it has been limited by the ... read more

Slot-BERT: Self-supervised object discovery in surgical video.

Medical image analysis Feb 3, 2026

Object-centric slot attention is a powerful framework for unsupervised learning of structured and explainable representations that can support reasoning about objects and actions, including in surgical video. However, current object-centric models ei... read more

DNA-Driven EEG monitoring for rapid seizure prediction in healthcare.

Computer methods and programs in biomedicine Feb 3, 2026

BACKGROUND AND OBJECTIVE: Worldwide, over 50 million people suffer from epilepsy, a neurological disorder characterised by recurrent seizures due to abnormal electrical activity in the brain. These occur as a result of sudden electric surges and the ... read more

Artificial Intelligence Medical Compendium