Latest Articles for Patient Safety

A new system analyzes maternity reports to enhance patient safety.

Advanced methods aim to reduce fall risks for post-surgery patients.

A study reveals high rates of preventable infections in hospitals.

This study focuses on using language models to identify adverse drug events from clinical notes.

Study reveals vulnerabilities in AI models used for cancer diagnosis.

A new method enhances the retrieval of medical studies based on evidence levels.

LIP-CAR method reduces contrast agent use while enhancing image quality.

New techniques improve visibility of surgical tools during laparoscopic procedures.

A new method enhances language models for reliable medical information.

Research explores creating virtual breast MRI images without the use of contrast dye.

New methods improve detection of changes in medical imaging, enhancing diagnostic accuracy.

A new method aims to enhance patient safety in surgeries by modeling procedural actions.

Study reveals dangers of trusting AI-generated medical advice over human doctors.

Automating line monitoring enhances safety and efficiency in critical care settings.

Study reveals higher mortality risk linked to BZD use in older stroke survivors.

Study examines appropriateness of CT scans in resource-limited healthcare settings.

A study on simulation training for improving surgical skills.

A new device to help patients manage their medications effectively.

A rich dataset to improve safety and efficiency in endovascular procedures.

New T cell methods aim to target tumors safely and effectively.

Exploring infection risks linked to venous catheters and immune cell interactions.

Researching new treatments through small experiments prioritizes patient safety.

A fresh look at technology-related errors in CPOE systems to enhance patient safety.

Exploring the potential improvements of ECT for severe mental health conditions.

Jiangsu Province improves TB infection control measures in healthcare settings.

New method improves clarity of low-dose PET scans using deep learning and MRI.

Study finds no link between nicotinamide use and major heart issues.

A study aims to find new treatment possibilities using existing medications and AI.

A move towards automated tracking of healthcare-associated infections in European hospitals.

Examining the risks and challenges of AI technology in medical applications.

A new framework enhances accuracy and reduces errors in medical text generation.

Pressure injuries pose significant risks and costs in healthcare settings.

A new method improves image registration during neurosurgery.

A new scoring system helps assess patient risk for post-ERCP pancreatitis.

A review of methods and stakeholder involvement in healthcare checklist design.

A study examines AI-generated discharge summaries compared to doctor-written ones.

Robotic endoscopy improves safety and effectiveness in diagnosing digestive conditions.

AI tools in healthcare offer benefits but raise significant safety concerns.

Discover how machine learning improves surgical planning in neurosurgery.

Assessing the impact of LLMs on healthcare documentation and safety.