Latest Articles for Medical Technology

A new model enhances AI understanding in healthcare diagnostics.

New methods improve drug response predictions for better cancer treatment options.

Enhancing accuracy in medical imaging through out-of-distribution detection.

New diagnostic methods aim to improve low-cost disease testing.

Automated methods enhance liver disease detection using ultrasound videos in resource-limited settings.

Exploring the impact of MRI analysis tools on dementia diagnosis in NHS England.

New method measures cell stiffness without harming the cells, aiding disease research.

MMSummary improves efficiency in fetal ultrasound assessments through automated video summarization.

A new approach aims to enhance ultrasound image quality significantly.

SAM2 enhances MRI segmentation with minimal user input for better diagnosis.

Research explores creating virtual breast MRI images without the use of contrast dye.

New methods enhance accuracy in assessing microwave ablation effectiveness.

Addressing risks to MRI images in Alzheimer’s disease diagnosis through advanced detection methods.

Snuffy offers a machine learning solution for accurate WSI analysis.

ECG-FM uses AI to improve ECG analysis for better heart health assessments.

A new method aims to enhance patient safety in surgeries by modeling procedural actions.

A competition to enhance Video Capsule Endoscopy through artificial intelligence.

HistoGym aids cancer diagnosis by using AI to analyze tissue images.

S-SAM simplifies medical image segmentation with less expert input and improved efficiency.

A new method enhances accuracy and speed in spine model calibration using machine learning.

GAMBAS uses machine learning to optimize beam angles in proton therapy.

This study automates diagnosis extraction from unstructured echocardiogram reports to enhance patient care.

Sumotosima simplifies ear health information for better patient understanding.

Insights into how areas of the brain communicate and connect.

A look at how organ modeling is enhancing surgical precision.

Using digital twins to improve healthcare predictions and treatment outcomes.

A new model improves detection and classification of pneumonia and COVID-19 from medical images.

Biocomputing uses biological materials for efficient and energy-saving computation.

Researchers improve photon counting CT images using deep learning methods.

A study reviews the effectiveness of GenAI in medical responses.

New model enhances accuracy and efficiency for identifying venous thromboembolism.

CytoDiffusion offers a new approach to classifying blood cells and identifying anomalies.

New x-ray technology combines lasers and electrons for better imaging and treatment.

Researchers develop new motors for enhanced MRI-guided surgical procedures.

A new segmentation-free method estimates visual fields using OCT images.

A system for secure AI learning in healthcare without sharing patient data.

Discover how EUIS-Net improves breast ultrasound image segmentation for better cancer detection.

A deep learning approach improves survival predictions for esophageal squamous cell cancer.

New study tests movement-responsive deep brain stimulation in patients with Parkinson’s Disease.

New research uses ECG data to estimate lab values non-invasively.