Latest Articles for Patient Care

A look into the complexities of identifying pseudoarthrosis post-surgery.

Study links IGF1R levels to worse outcomes in lung cancer patients.

Study evaluates the accuracy and consistency of cardiovascular measurements.

This study highlights key challenges and priorities in PCD research.

Deep learning aids in accurately measuring non-cancerous brain tumors.

Research shows genetics can enhance risk prediction for surgical complications.

A new method improves the use of EHR data for patient outcome predictions.

Research reveals distinct COPD subtypes for better patient care.

This article explores how nutrient availability and pressure influence tumor growth dynamics.

Study links nerve activity to ischemic episodes in heart disease patients.

New methods improve accuracy in kidney tissue diagnostics and treatment.

A look into the complexities and developments in melanoma treatment.

Research improves assessment methods for facioscapulohumeral dystrophy using ultrasound.

This study compares insulin resistance tests in healthy individuals and diabetes patients.

Examining factors affecting treatment adherence in high blood pressure management.

AI-ECG model enhances heart disease prediction using ECG data.

MACCHIatO improves consensus segmentation for medical imaging by addressing variability among raters.

New medical graduates in Uganda face challenges in confidence and readiness for practice.

Examining methods to identify patient groups responding to treatments in clinical trials.

Radar technology enables comfortable, safe monitoring of heart and breathing rates.

New adaptive filtering enhances CT images while reducing x-ray exposure risks.

Machine learning helps predict sepsis, improving patient care and outcomes.

Researchers present an automated method for efficient ICD coding of medical texts.

Study reveals optimal timing for heart imaging post-regadenoson to improve diagnosis.

A new system enhances performance and reduces delays in medical AI applications.

New findings improve treatment for atypical AVNRT through better mapping techniques.

Research reveals genetic factors influencing atrial fibrillation and heart attacks.

DR-GPT improves diabetic retinopathy classification using unstructured medical reports.

Using chatbots to address patient information needs during cataract surgeries.

Research identifies potential genetic markers for early diagnosis of Parkinson’s disease.

This article delves into the causes and effects of heterotopic ossifications.

Exploring treatment options for persistent inflammation following infections.

Study examines benefits of preoperative embolization for spine tumor surgeries.

This study examines the link between patient portal engagement and weight loss success post-bariatric surgery.

MOGDx integrates diverse omic data for better disease classification.

A new benchmark shows promise for AI in diagnosing rare diseases.

TEE4EHR improves analysis of patient data using deep learning techniques.

Exploring Gemini's impact and challenges in the medical field.

Wearable devices are reshaping patient care through real-time health data.

Study reveals language models struggle with cognitive biases in medical decision-making.