Latest Articles for Medical Technology

A look into how sound waves affect various structures.

SPPNet simplifies cell segmentation, enhancing accuracy and efficiency in medical analysis.

Research on lncRNAs offers new insights into Autism Spectrum Disorder.

Study reveals how DBS influences sleep quality in treatment-resistant depression.

Combining object detection techniques with calibration improves accuracy and reliability.

An innovative approach uses sound waves to identify leukemia cells quickly.

ChannelViT improves analysis of complex multi-channel images in various fields.

Assessing ChatGPT's diagnostic effectiveness in musculoskeletal conditions compared to human radiologists.

Enhancing language models' accuracy in medical inquiries through model editing techniques.

A semi-supervised learning framework improves medical image segmentation with limited labeled data.

A novel method improves eczema analysis using fewer examples.

A novel approach to accurately describe differences between images.

This article examines ion movement in nerve cells and ultrasound's role in brain activity control.

A new model enhances accuracy in kidney biopsy diagnoses using instance segmentation.

unORANIC improves medical image analysis by separating anatomy from corruption.

A powerful tool improves management of medical images for machine learning applications.

Study reveals brain activity patterns may help identify seizure origins.

A new training strategy improves medical image segmentation accuracy.

Examining responsibility and safety in AI-based systems to enhance accountability.

Examining backdoor attacks and labeling errors in medical AI models.

New framework SUDO helps assess AI systems without ground-truth data.

Proper data separation enhances lung cancer detection accuracy using deep learning.

A new method improves medical question summarization using both text and images.

New cryoablation methods enhance liver cancer treatment effectiveness and reduce damage to healthy tissue.

Exploring the role of foundation models in improving healthcare outcomes.

Innovative detectors enhance the accuracy of proton therapy for cancer treatment.

A new wireless telemetry system enables continuous brain activity tracking in rats.

Exploring the role of machine learning in thyroid cancer detection and treatment.

Researchers study brain signals to understand Mild Cognitive Impairment and its progression.

Introducing Diff-NCA and FourierDiff-NCA for efficient image generation.

Research highlights the use of self-supervised pretraining in GIE image analysis.

New insights on vascular invasion to improve lung cancer treatment decisions.

tFUS offers a non-invasive method to improve brain function and treat mental health issues.

BoNuS automates nuclei segmentation using weak supervision, enhancing pathology image analysis.

Using electrical stimulation to improve drug delivery in cancer cells.

SAM enhances medical imaging by improving accuracy in image segmentation.

A method for compressing volumetric data while maintaining quality using neural networks.

A new system helps pathologists improve accuracy in diagnosing breast and skin cancers.

TGV offers improved image quality by managing details and noise effectively.

CathSim offers a cutting-edge simulator for training robots in endovascular procedures.