Prevention of medical errors

Iron metabolism and preeclampsia: new insights from bioinformatics analysis.

OBJECTIVE: Preeclampsia (PE) is a multifactorial systemic pregnancy disease, in which iron metabolis...

Artificial Intelligence in Palliative Care: A Scoping Review of Current Applications, Challenges, and Future Directions.

BackgroundArtificial Intelligence (AI) is increasingly integrated into healthcare systems, presentin...

Gesture recognition for hearing impaired people using an ensemble of deep learning models with improving beluga whale optimization-based hyperparameter tuning.

Sign language (SL) is the linguistics of speech and hearing-impaired individuals. The hand gesture i...

Machine learning and transformer models for prediction of postoperative pneumonia risk in patients with lower limb fractures.

Postoperative pneumonia, a prevalent complication arising from lower limb fracture surgery, can sign...

PM concentration 7-day prediction in the Beijing-Tianjin-Hebei region using a novel stacking framework.

High-precision prediction of near-surface PM concentration is a significant theoretical prerequisite...

A fiber channel modeling method based on complex neural networks.

Channel modeling plays a pivotal role in the field of communications, particularly in the optical co...

Improving EEG based brain computer interface emotion detection with EKO ALSTM model.

Decoding signals from the CNS brain activity is done by a computer-based communication device called...

Deep learning based predictive models for real time accident prevention in autonomous vehicle networks.

There have been substantial difficulties to road safety brought about by the increasing volume of tr...

A hybrid AI-Blockchain security framework for smart grids.

This study delves into the vulnerability of the smart grid to infiltration by hackers and proposes m...

Enhancing anomaly detection and prevention in Internet of Things (IoT) using deep neural networks and blockchain based cyber security.

The rapid adoption of Internet of Things (IoT) devices has significantly increased cybersecurity ris...

Dissecting crosstalk induced by cell-cell communication using single-cell transcriptomic data.

During cell-cell communication (CCC), pathways activated by different ligand-receptor pairs may have...

[Participatory approaches in the development of AI applications in medicine: opportunities and challenges].

The increasing integration of artificial intelligence (AI) in healthcare not only holds the potentia...

Proposal for Using AI to Assess Clinical Data Integrity and Generate Metadata: Algorithm Development and Validation.

BACKGROUND: Evidence-based medicine combines scientific research, clinical expertise, and patient pr...

Metabolic Phenotypes, Genotypes, and Gut Microbiome Signatures in Obesity: Implications for Precision Nutrition Strategies in Type 2 Diabetes Prevention.

The worldwide prevalence of overweight and obesity has increased rapidly in the last decades. This r...

An Artificial Intelligence Tool for the Diagnosis of Facial Pain.

BACKGROUND AND OBJECTIVES: Differentiation between temporomandibular disorders (TMDs) and trigeminal...

Artificial Intelligence-Based Detection of Central Retinal Artery Occlusion Within 4.5 Hours on Standard Fundus Photographs.

BACKGROUND: Prompt diagnosis of acute central retinal artery occlusion (CRAO) is crucial for therape...

A Wearable AI-Driven Mask with Humidity-Sensing Respiratory Microphone for Non-Vocal Communication.

Hoarseness and dysphonia caused by vocal cord conditions or laryngeal surgeries significantly hinder...

Identification of individuals who benefit from omega-3 fatty acid supplementation to prevent coronary heart disease: a machine-learning analysis of the VITAL.

Randomized controlled trials (RCTs) have demonstrated benefits of marine omega-3 polyunsaturated fat...

Harnessing Generative Artificial Intelligence in Pediatric Anesthesia: Enhancing Learning, Patient Care, and Family Communication.

Deep learning classification of drug-related problems from pharmaceutical interventions issued by hospital clinical pharmacists during medication prescription review: a large-scale descriptive retrospective study in a French university hospital.

OBJECTIVES: Pharmaceutical interventions are proposals made by hospital clinical pharmacists to addr...

Recognition of common shortwave protocols and their subcarrier modulations based on multi-scale convolutional GRU.

Shortwave communication plays a vital role in disaster relief and remote communications due to its l...