Patient safety / Risk Management

Patient Consent and The Right to Notice and Explanation of AI Systems Used in Health Care.

Given the need for enforceable guardrails for artificial intelligence (AI) that protect the public and allow for innovation, the U.S. Government recently issued a Blueprint for an AI Bill of Rights which outlines five principles of safe AI design, use, and implementation. One in particular, the right to notice and explanation, requires accurately informing the public about the use of AI that impac...

Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist.

The widespread use of Chat Generative Pre-trained Transformer (known as ChatGPT) and other emerging technology that is powered by generative artificial intelligence (GenAI) has drawn attention to the potential ethical issues they can cause, especially in high-stakes applications such as health care, but ethical discussions have not yet been translated into operationalisable solutions. Furthermore,...

Leveraging AI and patient metadata to develop a novel risk score for skin cancer detection.

Melanoma of the skin is the 17th most common cancer worldwide. Early detection of suspicious skin lesions (melanoma) can increase 5-year survival rate...

Not just disclosure of generative artificial intelligence like ChatGPT in scientific writing: peer-review process also needs.

The simplification of the symptom Checklist-90 scale utilizing machine learning techniques.

The Symptom Checklist-90 (SCL-90), widely utilized for psychological assessments, faces challenges due to its extensive nature. Streamlining the SCL-9...

Ethics of Writing Personal Statements and Letters of Recommendations with Large Language Models.

Large language models are becoming ubiquitous in the editing and generation of written content and are actively being explored for their use in medica...

Multidisciplinary cancer disease classification using adaptive FL in healthcare industry 5.0.

Emerging Industry 5.0 designs promote artificial intelligence services and data-driven applications across multiple places with varying ownership that...

A Secure High-Order Gene Interaction Detection Algorithm Based on Deep Neural Network.

Identifying high-order Single Nucleotide Polymorphism (SNP) interactions of additive genetic model is crucial for detecting complex disease gene-type ...

Identification of Psychological Treatment Dropout Predictors Using Machine Learning Models on Italian Patients Living with Overweight and Obesity Ineligible for Bariatric Surgery.

According to the main international guidelines, patients with obesity and psychiatric/psychological disorders who cannot be addressed to surgery are r...

An abbreviated Chinese dyslexia screening behavior checklist for primary school students using a machine learning approach.

To increase early identification and intervention of dyslexia, a prescreening instrument is critical to identifying children at risk. The present work...

Artificial intelligence in total and unicompartmental knee arthroplasty.

The application of Artificial intelligence (AI) and machine learning (ML) tools in total (TKA) and unicompartmental knee arthroplasty (UKA) emerges wi...

Self-learning activation functions to increase accuracy of privacy-preserving Convolutional Neural Networks with homomorphic encryption.

The widespread adoption of cloud computing necessitates privacy-preserving techniques that allow information to be processed without disclosure. This ...

Information disclosure, multifaceted collaborative governance, and carbon total factor productivity-An evaluation of the effects of the 'environmental information disclosure pilot' policy based on double machine learning.

As an environmental institutional arrangement related to the information factor of the diversified participation of the government, enterprises, the m...

Rise of the Machines: The Prevalence and Disclosure of Artificial Intelligence-Generated Text in High-Impact Orthopaedic Journals.

INTRODUCTION: While most orthopaedic journals permit the use of artificial intelligence (AI) in article development, they require that AI not be liste...

Systematic review of machine learning models in predicting the risk of bleed/grade of esophageal varices in patients with liver cirrhosis: A comprehensive methodological analysis.

Esophageal varices (EV) in liver cirrhosis carry high mortality risks. Traditional endoscopy, which is costly and subjective, prompts a shift towards ...

Feature group partitioning: an approach for depression severity prediction with class balancing using machine learning algorithms.

In contemporary society, depression has emerged as a prominent mental disorder that exhibits exponential growth and exerts a substantial influence on ...

Can Artificial Intelligence Accurately Detect Urinary Stones? A Systematic Review.

To perform a systematic review on artificial intelligence (AI) performances to detect urinary stones. A PROSPERO-registered (CRD473152) systematic s...

Identifying ESG types of Chinese solid waste disposal companies based on machine learning methods.

In the context of China's efforts to combat climate change and promote sustainable development, the solid waste treatment industry's environmental, so...

Vein pattern visualisation for biometric identification with cGAN on a New Zealand dataset.

Forensic identification using vein patterns in standard colour images presents significant challenges due to their low visibility. Recent efforts have...

Use of artificial intelligence in obstetric and gynaecological diagnostics: a protocol for a systematic review and meta-analysis.

INTRODUCTION: Emerging developments in applications of artificial intelligence (AI) in healthcare offer the opportunity to improve diagnostic capabili...