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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 253-273 of 6,309 articles
An evidence-based guidance framework for neural network system diagrams.

Accurate communication of research is essential. We present the first evidence-based framework for f...

Pyramid Network With Quality-Aware Contrastive Loss for Retinal Image Quality Assessment.

Captured retinal images vary greatly in quality. Low-quality images increase the risk of misdiagnosi...

Predicting orthognathic surgery results as postoperative lateral cephalograms using graph neural networks and diffusion models.

Orthognathic surgery, or corrective jaw surgery, is performed to correct severe dentofacial deformit...

Deep learning and robotics enabled approach for audio based emotional pragmatics deficits identification in social communication disorders.

The aim of this study is to develop Deep Learning (DL) enabled robotic systems to identify audio-bas...

LLM services in the management of social communications.

This paper proposes enhancing social communication management with a behavioral economics approach t...

Toward a conceptual model to improve the user experience of a sustainable and secure intelligent transport system.

The rapid advancement of automotive technologies has spurred the development of innovative applicati...

Enhanced personalized prediction of baseball-related upper extremity injuries through novel features and explainable artificial intelligence.

Upper extremity injuries in baseball players demand advanced prevention. Our study analyzed clinical...

Application of the LDA model to identify topics in telemedicine conversations on the X social network.

The evolution experienced by global society, in the post-COVID 19 era, is marked by the quite obliga...

Enhancing Patient-Physician Communication: Simulating African American Vernacular English in Medical Diagnostics with Large Language Models.

UNLABELLED: Effective communication is crucial in reducing health disparities. However, linguistic d...

Nano biosensor unlocks tumor derived immune signals for the early detection of ovarian cancer.

Ovarian cancer is a critical health issue for women nowadays. Its impact is significant because of i...

Hand X-rays findings and a disease screening for Turner syndrome through deep learning model.

BACKGROUND: Turner syndrome (TS) is one of the important causes of short stature in girls, but there...

Health Communication on the Internet: Promoting Public Health and Exploring Disparities in the Generative AI Era.

Health communication and promotion on the internet have evolved over time, driven by the development...

Two-step pragmatic subgroup discovery for heterogeneous treatment effects analyses: perspectives toward enhanced interpretability.

Effect heterogeneity analyses using causal machine learning algorithms have gained popularity in rec...

Communication-Efficient Hybrid Federated Learning for E-Health With Horizontal and Vertical Data Partitioning.

Electronic healthcare (e-health) allows smart devices and medical institutions to collaboratively co...

Enhancing Slip, Trip, and Fall Prevention: Real-World Near-Fall Detection with Advanced Machine Learning Technique.

Slips, trips, and falls (STFs) are a major occupational hazard that contributes significantly to wor...

Study on the prediction performance of AIDS monthly incidence in Xinjiang based on time series and deep learning models.

OBJECTIVE: AIDS is a highly fatal infectious disease of Class B, and Xinjiang is a high-incidence re...

Validation of a machine learning model for indirect screening of suicidal ideation in the general population.

Suicide is among the leading causes of death worldwide and a concerning public health problem, accou...

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