Latest Articles for Patient Care

RPM services are increasing in U.S. hospitals, impacting heart failure readmissions.

Exploring methods to integrate diverse medical data for improved patient care.

A new framework analyzes diverse health data to improve patient outcomes.

DRL-STNet improves segmentation of medical images across different modalities.

Insights into how patient factors affect drug responses.

New methods enhance the analysis of medical images by connecting 2D and 3D data.

AI technology is changing how radiology reports are created, improving efficiency.

Patients with blood cancers face challenges in accessing quality end-of-life care.

Examining how mental health affects recovery from physical pain in emergency care.

Pharmacists play a key role in improving heart failure patient outcomes and reducing hospital visits.

An evaluation of clinical trial protocols focused on intervertebral disc degeneration.

Combining imaging and genetic data improves lung cancer diagnosis accuracy.

Advancements in technology aim to boost breast cancer detection rates.

A study on the effectiveness of CBHI services in Ethiopia's healthcare system.

A study exploring death risks for heart failure patients post-CRT treatment.

This technique boosts accuracy in diagnosing diseases using advanced image analysis.

A look into methods for better survival estimates in patients with serious conditions.

Research aims to find reliable blood markers for early cancer detection.

Study shows AI tools excel in answering pathology questions compared to human trainees.

Researchers focus on tailoring cancer treatments using machine learning for better outcomes.

Machine learning is reshaping healthcare by improving diagnoses and integrating medical guidelines.

Reviewing the potential of technology in predicting outcomes for HNSCC patients.

New methods improve transparency in AI decisions for medical image analysis.

Combining medical images and genetic data enhances lung cancer survival predictions.

Study reveals link between psychological aspects and dizziness severity in patients.

A look at the challenges of missing data in EHRs and methods to improve them.

Deep learning improves healthcare analytics through enhanced medical data representation.

A look at how multimodal AI is changing the landscape of medical decisions.

Aging affects gene expression in lung cancer patients, influencing treatment success.

New methods simplify chest X-ray reports for improved patient diagnosis.

A new method improves breast ultrasound image analysis using deep learning techniques.

Assessing AI's effectiveness in predicting medical conditions through advanced language models.

New AI tools aim to assist in identifying Anterior Mediastinum Lesions in CT scans.

AI tools can support doctors in patient care and decision-making.

New approaches in MRI analysis can help prioritize serious prostate cancer cases.

Study questions accuracy of lung function tests across different racial and ethnic groups.

New technologies enhance diagnosis and treatment of intracranial hemorrhages.

New methods are improving the diagnosis of eye muscle conditions.

A novel approach to identify patient-specific treatment effectiveness.

A framework to enhance early dementia detection using diverse data sources.