Latest Articles for Healthcare Innovations

FrameFlow propels protein design by enhancing scaffold diversity and functionality.

Combining models to improve predictions of disease outbreaks.

A novel model improves predictions of glioma tumor growth using MRI and treatment data.

Survey reveals diverse attitudes toward AI among Canadians, highlighting trust and knowledge gaps.

NISF enhances anatomical shape segmentation in medical imaging with improved accuracy.

FREED++ shows improved drug generation with enhanced molecular design and performance.

MedSASS enhances medical imaging using self-supervised learning for better accuracy.

A new framework for dynamic AI agents across various fields.

Exploring AI's impact on legal systems and public administration.

A new tool speeds up body composition assessment using CT scans.

A quick diagnostic test for Buruli ulcer improves detection and treatment.

New methods enhance treatment selection in clinical trials for improved patient care.

Explore battery-less devices and their potential in the Internet of Things.

DeepATLAS efficiently identifies anatomical structures in CT scans without extensive labeled data.

New mass spectrometry technology promises improved disease diagnostics through plasma proteomics.

MediViSTA-SAM improves medical video analysis for better echocardiography segmentation.

New framework enhances protein research through innovative question answering.

A new model improves scene graph generation in surgical settings.

Discover how IRS improves ultra-reliable low-latency communication in various applications.

Discover how ESFL improves machine learning efficiency while protecting privacy.

This study presents a new automated method for accurate EEG electrode placement.

A look at the process for preparing CT scans for deep learning.

OpenMEDLab enhances access to medical AI tools and resources for better healthcare.

BasedAI uses encryption to ensure privacy while enhancing language model performance.

nnSAM enhances medical image segmentation with limited training data.

T-DFSA enhances real-time data updates for IoT devices, ensuring timely and accurate information.

A look at the TURBO project improving proton therapy efficiency.

This study reveals the potential of small language models in radiology tasks.

New model improves accuracy in interpreting EEG data for neurological conditions.

New methods improve treatment recommendations by considering patient adherence.

New techniques enhance CBCT image quality and speed for better patient outcomes.

Machine learning offers better predictions for bladder cancer recurrence, enhancing patient care.

A fresh perspective on testing medical treatments aims for clearer results.

DuDoCFNet combines tasks to improve cardiac imaging while reducing radiation exposure.

Exploring the role of digital health in addressing metabolic disorders in older adults.

Active compensation improves image quality in magnetic particle imaging.

Efficient image annotation in healthcare enhances diagnoses through Deep Learning and Active Learning.

Using machine learning to customize treatments for Acute Myeloid Leukemia patients.

EHR-ML enhances predictive modeling in healthcare for better patient outcomes.

Synthetic data is reshaping surgical planning and training in neurosurgery.