Risk Management

The High Five Model as a Predictor of the Optimal Occupational and Personal Functioning of Workers Through Machine Learning Algorithms.

In this study, the predictive power of positive personality traits from the High Five Model (HFM) for optimal personal and work functioning in employees was analyzed via machine learning algorithms. A total of 645 active workers participated (409 women and 236 men). Data were collected through the High Five Inventory (HFI), the Mental Health Continuum-SF (MHC-SF), the Symptoms Checklist-27 (SCL-27...

Contemporary Prevention and Management of Postoperative Delirium in Cardiac Surgery Patients.

This review examines the prevention and management of postoperative delirium in cardiac surgery patients, a frequent complication linked with significant mortality, morbidity, prolonged hospitalization, and cognitive decline. The aim was to consolidate current evidence on postoperative delirium pathophysiology, risk factors, diagnostic approaches, and pharmacologic and non-pharmacologic interventi...

Neurophysiological Approaches to Lie Detection: A Systematic Review.

Lie detection is crucial in domains such as security, law enforcement, and clinical assessments. Traditional methods suffer from reliability issues a...

VADEr: Vision Transformer-Inspired Framework for Polygenic Risk Reveals Underlying Genetic Heterogeneity in Prostate Cancer.

Polygenic risk scores (PRSs) serve as quantitative metrics of genetic liability for various conditions. Traditionally calculated as an effect size wei...

Artificial Intelligence Assisted 18F-FDG PET Radiomics in Classifying Histological Subtypes of Lung Cancer: Systematic Review and Meta-analysis.

UNLABELLED: AI-assisted radiomics is an emerging tool for precision oncology, and many studies have recently shown promising results. However, there a...

The Lack of Neurofeedback Training Regulation Guidance and Process Evaluation May be a Source of Controversy in Post-Traumatic Stress Disorder-Neurofeedback Research: A Systematic Review and Statistical Analysis.

Neurofeedback (NF) based on brain-computer interface (BCI) is an important direction in adjunctive interventions for post-traumatic stress disorder (...

Using Large Language Models for Advanced and Flexible Labelling of Protocol Deviations in Clinical Development.

BACKGROUND: As described in ICH E3 Q&A R1 (International Council for Harmonisation. E3: Structure and content of clinical study reports-questions and ...

Material-to-system tailored multilayer-cyclic strategy toward practical atmospheric water harvesting.

Solar-driven atmospheric water harvesting (AWH) presents a sustainable approach for freshwater production with sunlight as the sole energy input. To a...

Forensic odontology: a comprehensive review of advances and applications in dental forensic medicine.

Forensic odontology is essential in medico-legal investigations, aiding in the identification of individuals, particularly in cases involving decompos...

Bayesian Meta-Learning for Few-Shot Reaction Outcome Prediction of Asymmetric Hydrogenation of Olefins.

Recent years have witnessed the increasing application of machine learning (ML) in chemical reaction development. These ML methods, in general, requir...

Large dataset on Fourier transform near infrared (FT-NIR) spectroscopy of green and roasted specialty coffee: Preprocessed infrared spectra and sensory scores for machine learning-based quality monitoring.

A comprehensive dataset on FT-NIR spectra for green and roasted specialty coffee is critically needed to advance predictive models for sensory quality...

Deep learning-based classification of coronary arteries and left ventricle using multimodal data for autonomous protocol selection or adjustment in angiography.

Optimal selection of X-ray imaging parameters is crucial in coronary angiography and structural cardiac procedures to ensure optimal image quality and...

Risk Prediction Models for Contrast-associated Acute Kidney Injury After Percutaneous Coronary Intervention: A Systematic Review.

The aim of this review was to systematically review published studies on risk prediction models for contrast-associated acute kidney injury (CA-AKI) i...

[Artificial intelligence and civil liability in cancerology: The breast cancer example].

For some years now, artificial intelligence has been investing in the field of healthcare, in both technical and clinical disciplines. While this tech...

Value of Artificial Intelligence for Enhancing Suspicion of Cardiac Amyloidosis Using Electrocardiography and Echocardiography: A Narrative Review.

Nonspecific symptoms and other diagnostic challenges lead to underdiagnosis of cardiac amyloidosis (CA). Artificial intelligence (AI) could help addre...

Using fuzzy decision support to create a positive mental health environment for preschoolers.

The preschool period is a crucial time for behavioural and social-emotional development and the cultivation of mental well-being. Preschoolers may be ...

Artificial Intelligence in Dentistry: A Narrative Review of Diagnostic and Therapeutic Applications.

Advancements in digital and precision medicine have fostered the rapid development of artificial intelligence (AI) applications, including machine lea...

Chinese generative AI models (DeepSeek and Qwen) rival ChatGPT-4 in ophthalmology queries with excellent performance in Arabic and English.

The rapid evolution of generative artificial intelligence (genAI) has ushered in a new era of digital medical consultations, with patients turning to ...

Assessing Patient-Reported Satisfaction With Care and Documentation Time in Primary Care Through AI-Driven Automatic Clinical Note Generation: Protocol for a Proof-of-Concept Study.

BACKGROUND: Relisten is an artificial intelligence (AI)-based software developed by Recog Analytics that improves patient care by facilitating more na...

Evaluation of correctness and reliability of GPT, Bard, and Bing chatbots' responses in basic life support scenarios.

Timely recognition and initiation of basic life support (BLS) before emergency medical services arrive significantly improve survival rates and neurol...