Latest AI and machine learning research in risk management for healthcare professionals.
ChatGPT has demonstrated significant potential in various aspects of medicine, including its performance on licensing examinations. In this study, we systematically investigated ChatGPT's performance in Iranian medical exams and assessed the quality of the included studies using a previously published assessment checklist. The study found that ChatGPT achieved an accuracy range of 32-72% on basic ...
INTRODUCTION: Accurate identification of the risk factors is essential for the effective prevention of hyperuricaemia (HUA)-related kidney damage. Previous studies have established the efficacy of machine learning (ML) methodologies in predicting kidney damage due to other chronic diseases. Nevertheless, a scarcity of precise and clinically applicable prediction models exists for assessing the ris...
Large language models (LLMs) may facilitate and expedite systematic reviews, although the approach to integrate LLMs in the review process is unclear....
Considering the characteristics and operating environment of remotely controlled miniature soft robots, achieving delicate adhesion control over vario...
The Shapley value formalism from cooperative game theory was adapted to explain predictions of machine learning models. Here, we present a protocol to...
The material acceleration platform, empowered by robotics and artificial intelligence, is a transformative approach for expediting material discovery ...
Emerging and evolving Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) lineages, adapted to changing epidemiological conditions, present u...
Given the resource limitations of wireless sensor networks (WSNs), energy conservation is of utmost importance. Moreover, minimizing data collection d...
This narrative review explores the implementation and impact of sepsis code protocols, an urgent intervention strategy designed to improve clinical ou...
Deep learning solutions have rapidly emerged for EEG decoding, achieving state-of-the-art performance on a variety of decoding tasks. Despite their hi...
Over the past 5Â decades, artificial intelligence (AI) has evolved rapidly. Moving from basic models to advanced machine learning and deep learning sys...
This article argues that significant risks are being taken with using GenAI in mental health that should be assessed urgently. It recommends that guid...
Neonatal intensive care unit resuscitative care continually evolves and increasingly relies on data. Data driven precision resuscitation care can be e...
Parkinson's disease (PD) is one of the most prominent motor disorder of adult-onset dementia connected to memory and other cognitive abilities. Indivi...
The existence of antibiotics in water sources poses substantial hazards to both the environment and public health. To effectively monitor and combat t...
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) methods are increasingly being applied in pediatric urology across a growing number...
Unmanned aerial vehicles (UAVs) require fault diagnosis for safe operation. Here, we present a protocol for UAV fault diagnosis using signal processin...
BACKGROUND: The use of both clinical factors and social determinants of health (SDoH) in referral decision-making for case management may improve opti...
The European Union is taking the lead globally on the regulation of Artificial Intelligence (AI) and developing important legislation, namely the AI A...
We recently developed an explosion-propeller hybrid driving underwater robot combined with an AI-based concrete damage detection technique for concret...