Latest AI in Medicine Research | AI Medical Compendium

UTMorph: A hybrid CNN-transformer network for weakly-supervised multimodal image registration in biopsy puncture.

Medical image analysis Jan 10, 2026

Accurate registration of preoperative magnetic resonance imaging (MRI) and intraoperative ultrasound (US) images is essential to enhance the precision of biopsy punctures and targeted ablation procedures using robotic systems. To improve the speed an... read more

Development of a deep learning-based histological evaluation model for critical-size bone defect healing in rats - an objective tool.

Bone Jan 10, 2026

INTRODUCTION: Critical-size femoral defects in rats are a well-established model for preclinical bone regeneration research. Histological evaluation is essential for assessing healing but remains time-consuming and subject to observer variability. Ma... read more

Coronary artery calcium clinical utilization: An update.

Current problems in cardiology Jan 10, 2026

Coronary artery disease (CAD) remains a leading cause of mortality and morbidity worldwide. Coronary artery calcification (CAC) is a well-established marker of atherosclerotic burden, and its quantification provides an objective measure of subclinica... read more

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.