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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 274-294 of 6,309 articles
The Evolving Paradigm of Myocardial Infarction in the Era of Artificial Intelligence.

The classification and treatment of myocardial infarction (MI) have evolved significantly over the p...

Utilizing natural language processing for precision prevention of mental health disorders among youth: A systematic review.

BACKGROUND: The global mental health crisis has created barriers to youth mental healthcare, leaving...

IoT-driven smart assistive communication system for the hearing impaired with hybrid deep learning models for sign language recognition.

Deaf and hard-of-hearing people utilize sign language recognition (SLR) to interconnect. Sign langua...

A skin disease classification model based on multi scale combined efficient channel attention module.

Skin diseases, a significant category in the medical field, have always been challenging to diagnose...

[Digital innovations in vaccination communication].

Despite the significant success of vaccinations, increasing vaccine hesitancy poses a threat to publ...

Application of artificial intelligence and machine learning in bovine respiratory disease prevention, diagnosis, and classification.

Bovine respiratory disease (BRD) is the leading infectious disease in cattle, resulting in significa...

Prevention and management of degenerative lumbar spine disorders through artificial intelligence-based decision support systems: a systematic review.

BACKGROUND: Low back pain is the leading cause of disability worldwide with a significant socioecono...

Which curriculum components do medical students find most helpful for evaluating AI outputs?

INTRODUCTION: The risk and opportunity of Large Language Models (LLMs) in medical education both res...

AI-based medical ethics education: examining the potential of large language models as a tool for virtue cultivation.

BACKGROUND: With artificial intelligence (AI) increasingly revolutionising medicine, this study crit...

Advances in the application of human-machine collaboration in healthcare: insights from China.

In the context of the technological revolution and the digital intelligence era, the contradiction b...

Fast finite-time quantized control of multi-layer networks and its applications in secure communication.

This paper introduces a quantized controller to address the challenge of fast finite-time synchroniz...

ThyroNet-X4 genesis: an advanced deep learning model for auxiliary diagnosis of thyroid nodules' malignancy.

Thyroid nodules are a common endocrine condition, and accurate differentiation between benign and ma...

Diffused responsibilities in technology-driven health research: The case of artificial intelligence systems in decentralized clinical trials.

Innovations such as artificial intelligence (AI) and decentralized clinical trials (DCTs) offer oppo...

A machine learning driven computationally efficient horse shoe shaped antenna design for internet of medical things.

With bio-medical wearables becoming an essential part of Internet of Medical things (IoMT) for monit...

Artificial Intelligence in Ischemic Heart Disease Prevention.

PURPOSE OF REVIEW: This review discusses the transformative potential of artificial intelligence (AI...

A survey of obstetric ultrasound uses and priorities for artificial intelligence-assisted obstetric ultrasound in low- and middle-income countries.

Obstetric ultrasound (OBUS) is recommended as part of antenatal care for pregnant individuals worldw...

Artificial intelligent based control strategy for reach and grasp of multi-objects using brain-controlled robotic arm system.

Brain-controlled robotic arm systems are designed to provide a method of communication and control f...

The effect of empathy on remote social connections via paired robots.

A range of devices and technologies are available to mediate social connections between geographical...

Unveiling diabetes onset: Optimized XGBoost with Bayesian optimization for enhanced prediction.

Diabetes, a chronic condition affecting millions worldwide, necessitates early intervention to preve...

Applications of Large Language Models in the Field of Suicide Prevention: Scoping Review.

BACKGROUND: Prevention of suicide is a global health priority. Approximately 800,000 individuals die...

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