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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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Detection, communication, and individual identification with deep audio embeddings: A case study with North Atlantic right whales

Anthropogenic noise has increased ambient sound levels across the globe, both underwater and on land...

Hierarchical Neural Circuit Theory of Normalization and Inter-areal Communication

The primate brain exhibits a hierarchical, modular architecture with conserved microcircuits executi...

AMICI: Attention Mechanism Interpretation of Cell-cell Interactions

Spatial transcriptomic data enable study of cell–cell communication, yet current analysis tools ofte...

Aging diminishes interlaminar functional connectivity in the mouse cortical V1 and CA1 hippocampal regions

Aging disrupts brain network integration and is a significant risk factor for cognitive decline and ...

Towards an AI-based knowledge assistant for goat farmers based on Retrieval-Augmented Generation

Large language models (LLMs) are increasingly being recognised as valuable knowledge communication t...

Effect of Large Language Models on P300 Speller Performance with Cross-Subject Training

Amyotrophic lateral sclerosis (ALS), a progressive neuromuscular degenerative disease, rapidly impai...

Strengths and Limitations of Using ChatGPT: A Preliminary Examination of Generative AI in Medical Education

Objective Structured Clinical Examinations (OSCEs) are critical tools in medical education, designed...

Patient-centered Evaluation of AI Answers to Genetic Counseling Questions

The growing use of large language models for health communication raises important questions about p...

Robust cancer crowdfunding predictions: Leveraging large language models and machine learning for success analysis

In the field of medical crowdfunding prediction, traditional statistical methods have long been the ...

Transcribing multilingual radiologist-patient dialogue into mammography reports using AI: A step towards patient-centric radiology

Radiology reports are primarily designed for healthcare professionals, often containing complex medi...

Artificial Intelligence-Powered Precision Medicine for Cardiovascular Disease Prevention and Management

Artificial intelligence (AI) is transforming precision medicine, particularly in cardiovascular dise...

Development and validation of diagnostic and prognostic prediction tools for dental caries in young children: A protocol

Dental caries is the most common oral disease worldwide, affecting up to 90% of children globally. I...

Identifying profiles, trajectories, burden, social and biological factors in 3.3 million individuals with multimorbidity in England

Multimorbidity, the co-occurrence of multiple chronic conditions in an individual, has become a glob...

Kolmogorov-Arnold Network for Atherosclerotic Cardiovascular Disease Risk Prediction

Assessing the risk of future atherosclerotic cardiovascular disease (ASCVD) is crucial in clinical p...

Large Language Models in Real-World Clinical Workflows: A Systematic Review of Applications and Implementation

Large language models (LLMs) offer promise for enhancing clinical care by automating documentation, ...

Lack of children in public medical imaging data points to growing age bias in biomedical AI

Artificial intelligence (AI) is rapidly transforming healthcare, but its benefits are not reaching a...

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