Latest Articles for Patient Care

Study reveals predictors for vision improvement after ICRS surgery in keratoconus patients.

Wital uses Wi-Fi technology to monitor vital signs without sensors or cameras.

New methods aim to make heart function assessment easier and more accessible.

Study investigates how different dopamine treatments affect depression symptoms in Parkinson's patients.

A study on recognizing disease clusters to improve patient care in multimorbidity.

BOSS offers faster, reliable solutions for finding optimal biomarker cutoffs.

Minimally invasive options may improve outcomes for spinal stenosis patients.

Methods for indirect treatment comparisons help guide healthcare decisions.

Combining imaging and health records enhances fracture diagnosis accuracy.

Study reveals ctDNA's potential in managing aggressive breast cancer.

Using synthetic images to enhance ultrasound analysis and training.

Examining fertility care needs for those living with primary ciliary dyskinesia.

This study investigates automatic generation of discharge summaries using EHR data.

New methods improve pupil assessment accuracy using smartphones and deep learning.

Research reveals diverse characteristics and treatment responses in DLBCL.

Examining the role of Thrombectomy-Capable Stroke Centers in stroke care access.

HuatuoGPT aims to enhance medical consultations through AI technology and doctor insights.

A new model improves accuracy in brain tumor image analysis.

Exploring the role of detailed data in improving clinical trial outcomes.

Using deep learning to better predict patellofemoral osteoarthritis development.

Examining treatment challenges and patient experiences of cutaneous leishmaniasis.

This article reviews the effectiveness of NDNBs in real-life versus lab settings.

SignalGPT aids healthcare by interpreting biomedical signals into clear text.

A new method generates synthetic data to improve health model predictions for all groups.

Study investigates lipid levels' role in advanced prostate cancer progression.

A new method simplifies brain mesh generation using image registration techniques.

A look at the importance of explainable AI in healthcare.

Study reveals significant gaps in monitoring DMARD patients during the COVID-19 pandemic.

A tool for doctors to evaluate ovarian masses and their likelihood of being cancerous.

This method enhances radiation therapy targeting for better patient outcomes.

A unified model enhances efficiency in generating radiology reports across multiple body parts.

Study shows potential of deep learning in predicting patient traits from laryngeal images.

A new model explores how cancer spreads and interacts with the immune system.

OncoCTMiner connects cancer patients with personalized clinical trial options based on genetic data.

Exploring how propofol and ketamine influence patient awareness during surgery.

New metrics improve automatic note generation for better healthcare documentation.

NROL brings rehabilitation to patients' homes using online methods.

A new method enhances the identification of the Vim in brain scans.

One-Prompt Segmentation simplifies medical imaging analysis with minimal input.

Examining the evolution and effectiveness of endovascular devices for intracranial aneurysms.