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Prevention of medical errors

Latest AI and machine learning research in prevention of medical errors for healthcare professionals.

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Showing 127-147 of 6,309 articles
Label-free diagnosis of lung cancer by Fourier transform infrared microspectroscopy coupled with domain adversarial learning.

Lung cancer is one of the most prevalent malignancies, characterized by high morbidity and mortality...

Improving Patient Communication by Simplifying AI-Generated Dental Radiology Reports With ChatGPT: Comparative Study.

BACKGROUND: Medical reports, particularly radiology findings, are often written for professional com...

Codes across (life)sciences.

The concept of "code" connotes different meanings, intentions, and formalizations. From mathematics ...

Insight into microbial extracellular vesicles as key communication materials and their clinical implications for lung cancer (Review).

The complexity of lung cancer, driven by multifactorial causes such as genetic, environmental and li...

Predicting carbapenem-resistant Pseudomonas aeruginosa infection risk using XGBoost model and explainability.

The prevalence and spread of carbapenem-resistant Pseudomonas aeruginosa (CRPA) is a global public h...

Causes and consequences of 'delays' in the diagnosis of spinal dural arterio-venous fistula; An illustrative case series, review and commentary.

BACKGROUND: Delays in management and misdiagnosis are common in patients with spinal dural arteriove...

Educating Medical Students on Deaf-Hearing Interpreter Teams: A Virtual Patient Panel Experience.

Communication and cultural differences render d/Deaf patients vulnerable to poorer health outcomes w...

Artificial intelligence in prediction of postpartum hemorrhage: a primer and review.

Postpartum hemorrhage (PPH) is a leading cause of maternal mortality worldwide, and the ability to p...

Ethical Considerations for Generative Artificial Intelligence in Plastic Surgery.

The integration of artificial intelligence (AI) into surgical care is rapidly transforming healthcar...

Embracing change in AAC technology: the keyboard to my success.

My name is Tim Jin, and I use an augmentative and alternative communication (AAC) device by typing w...

Mechanical Modulation, Physiological Roles, and Imaging Innovations of Intercellular Calcium Waves in Living Systems.

Long-range intercellular communication is essential for multicellular biological systems to regulate...

Stroke Sensitivity Calculation in Medical Emergency Calls and Factors Associated With Stroke Suspicion: A Retrospective Registry-Based Study.

STUDY OBJECTIVE: Sensitivity for stroke detection in emergency medical communication centers (EMCCs)...

Prediction of Ligand-Receptor Interactions Based on CatBoost and Deep Forest and Their Application in Cell-Cell Communication Analysis.

Cell-to-cell communication (CCC) is prominent for cell growth and development as well as tissue and ...

Single-tooth resolved, whole-mouth prediction of early childhood caries via spatiotemporal variations of plaque microbiota.

Early childhood caries (ECC) exhibits tooth specificity, highlighting the need for single-tooth-leve...

Revolutionizing diabetes care: the role of artificial intelligence in prevention, diagnosis, and patient care.

UNLABELLED: Millions of people worldwide have diabetes, a disease that is becoming more common and h...

Evaluating and modifying the PHDI for depression prevention: insights from NHANES 2005-2018.

BACKGROUND: Depression is a significant focus in mental health research, emerging as a pressing publ...

Empowering Pharmacists in Type 2 Diabetes Care: Opportunities for Prevention, Counseling, and Therapeutic Optimization.

Diabetes is a growing chronic disease with complications that impose a significant burden on healthc...

Neuron-Inspired Ferroelectric Bioelectronics for Adaptive Biointerfacing.

Implantable bioelectronics, which are essential to neuroscience studies, neurological disorder treat...

Current status, hotspots, and trends in cancer prevention, screening, diagnosis, treatment, and rehabilitation: A bibliometric analysis.

OBJECTIVES: Decades of clinical and fundamental research advancements in oncology have led to signif...

Machine Learning and Artificial Intelligence in Suicide Prevention: A Bibliometric Analysis of Emerging Trends and Implications for Nursing.

Nurses play a crucial role in suicide prevention, yet the integration of artificial intelligence and...

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