Latest Articles for Patient Care

New method improves accuracy in medical image segmentation with limited data.

A new method boosts accuracy and trust in medical image diagnosis.

Research focuses on AI models to improve prostate cancer detection and provide confidence levels.

Streamlined models can enhance healthcare outcomes using machine learning.

Study investigates reaching motions in stroke patients for better rehabilitation strategies.

7T MRI technology enhances brain imaging and treatment outcomes in neurosurgery.

This study uses deep learning to predict liver cancer risk in NAFLD patients.

New methods improve how we assess eye movements and their relation to head position.

New methods improve risk assessment for cerebral aneurysms through advanced modeling.

A new method improves MRI image quality and speed using hypernetworks.

Research uses EHRs to enhance health outcome predictions for patients with multiple conditions.

Updated models predict COVID-19 outcomes for better health management.

New methods improve fentanyl application for better pain management.

New ultrasound methods improve breast cancer detection and diagnostic efficiency.

A new method enhances fairness in colorectal cancer polyp detection.

COBRA enhances survival analysis through improved variable selection and model integration.

This study explores how emotions affect long-COVID symptoms over time.

This method improves accuracy in matching anatomical locations in medical scans.

This article discusses issues and new methods in EHR data analysis.

Exploring new strategies to reduce the treatment burden for melanoma patients.

This article examines a pilot program for cancer patients with ostomies.

Exploring personalized strategies to enhance cancer treatment and outcomes.

Research highlights the importance of PSA monitoring for salvage therapy in prostate cancer.

A review of the NASSS framework's application in healthcare technology adoption.

A new model enhances accuracy in segmenting brain lesions using large-kernel attention.

This study examines the impact of COVID-19 across different patient groups.

Exploring better solutions for peripheral arterial disease diagnosis and treatment.

This article examines how AI can assist in diagnosing sepsis more effectively.

New study reveals methods for predicting postoperative delirium in surgical patients.

This study examines how patient self-diagnosis affects language model accuracy in medicine.

Research shows higher early exit rates in ID patients during EEG tests.

Study explores how to improve AI decision explanations for better patient understanding.

A new system for pain-free glucose monitoring aims to enhance diabetes management.

A new approach enhances medical image segmentation across diverse sources.

Research identifies distinct Alzheimer’s patient groups to improve treatment trials.

Examining the ongoing effects of Long COVID and potential contributing factors.

FLASH improves predictions using long-term patient data and significant health events.

A fresh approach enhances 3D heart imaging from 2D scans.

A study compares AI risk assessments for chest pain with traditional scoring systems.

Research identifies key factors in treatment resistance for multiple myeloma.