Latest Articles for Patient Care

New MRI sequences improve visualization of short-T2* tissues.

Exploring the ethics of using hold-out sets in healthcare predictive models.

Research uncovers genetic changes in NF1 tumors to guide future treatments.

Combining data types improves early detection and treatment of breast cancer.

Study reveals mitral valve issues increase heart risk, especially in genetic conditions.

Many skin cancer patients face recurring diagnoses, raising health care concerns.

Explore how AI models can improve healthcare data and patient outcomes.

Study reveals high stroke risks following radiation therapy for head and neck cancers.

A study reveals urgent care needs for critically ill patients across various countries.

Study examines how circadian rhythms affect recovery in gynecological surgery patients.

ICU-Sepsis aids researchers in testing AI algorithms for better sepsis management.

New methods improve CT imaging for better medical diagnosis.

Understanding Chronic Kidney Disease and the role of AI in detection.

DYNA improves the prediction of genetic variants for better patient care.

New research highlights ethanolamine oleate's effectiveness in treating venous malformations.

Researchers improve AI techniques for faster, cost-effective custom skull implants.

A new digital tool improves cancer risk assessments for patients and providers.

New strategies aim to tackle drug resistance in cancer treatment.

New method improves identification of bloodstream infections in emergency settings.

AI's impact on cancer care through better uncertainty management.

Digital technology is changing how dentists diagnose and treat patients.

Study examines cost-effectiveness of microbiology tests in improving patient care.

A study reveals challenges in addressing low-back pain in Uganda's rural communities.

A study on using RGBD cameras for improved motion analysis in rehabilitation.

New benchmark evaluates AI models' capabilities in real clinical settings.

This review examines how miRNAs relate to osteosarcoma outcomes.

Reviewing recent studies on drug safety and effectiveness for rare diseases.

New methods enhance the quality of AI-generated annotations in medical imaging.

A new approach to explainable AI enhances predictions for Alzheimer's risk through clinical data.

A study explores automated methods for measuring ascites using deep learning algorithms.

New AI model transforms 2D chest X-rays into 3D CT scans.

A study on predicting 30-day post-surgery mortality using logistic regression.

Discover how virtual heart models are changing patient care.

A study on the knowledge and application of nursing theories among nurses in India.

Combining patient data with chest X-rays enhances report accuracy and patient care.

This study examines using General Video Transformers for improved remote physiological measurement.

PARADIGM integrates diverse cancer data for improving patient survival predictions.

Studies show gut bacteria affect kidney transplant success and rejection rates.

Exploring the impact of RPM on patient care and healthcare costs.

A new model enhances synthetic EHR data for improved healthcare applications.