AIMC Topic: Humans

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Is it a pediatric orthopaedic urgency or not? Can ChatGPT answer this question?

Journal of orthopaedic surgery and research
BACKGROUND: Artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT, is increasingly studied in healthcare. This study evaluated the accuracy and reliability of the ChatGPT in guiding families on whether pediatric orth...

Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 2: Analysis of DALL-E 3.

Journal of nuclear medicine technology
Disparity among gender and ethnicity remains an issue across medicine and health science. Only 26%-35% of trainee radiologists are female, despite more than 50% of medical students' being female. Similar gender disparities are evident across the medi...

Mortality Prediction Performance Under Geographical, Temporal, and COVID-19 Pandemic Dataset Shift: External Validation of the Global Open-Source Severity of Illness Score Model.

Critical care explorations
BACKGROUND: Risk-prediction models are widely used for quality of care evaluations, resource management, and patient stratification in research. While established models have long been used for risk prediction, healthcare has evolved significantly, a...

The effects of learning experience on college students' deep english learning: a study of the chain mediation effect of motivation and strategy.

PloS one
This study focuses on the impact of learning experience on college students' deep learning of English and the chain-mediated effects of motivation and strategy. In the context of globalization, English is crucial for university students, but traditio...

A comparative study of various statistical and machine learning models for predicting restaurant demand in Bangladesh.

PloS one
Precise demand forecasting has become crucial for merchants due to the growing complexity of client behavior and market dynamics. This allows them to enhance inventory management, minimize instances of stock outs, and enhance overall operational effi...

Verification and application of deep learning models in daily sports activities of teenagers.

PloS one
With the development of smart wearable devices and deep learning (DL) technology, the monitoring and analysis of daily sports activities of teenagers face new opportunities. At present, traditional CNN (Convolutional Neural Network) models are mostly...

Application of ConvNeXt with transfer learning and data augmentation for malaria parasite detection in resource-limited settings using microscopic images.

PloS one
Malaria continues to be a severe health problem across the globe, especially within resource-limited areas which lack both skilled diagnostic personnel and diagnostic equipment. This study investigates the use of deep learning diagnosis for malaria t...

Dynamically weighted graph neural network for detection of early mild cognitive impairment.

PloS one
Alzheimer's disease (AD) is a prevalent neurodegenerative disease that primarily affects the elderly population. The early detection of mild cognitive impairment (MCI) holds significant clinical importance for prompt intervention and treatment of AD....

Prediction and accuracy improvement of insulin pump in-fusion deviation based on LSTM and PID.

PloS one
In order to further improve the injection precision of the PH300 insulin pump, this paper optimizes and improves the mechanical structure and control algorithm of the PH300. The improved PH300 uses a proportional-integral-derivative controller based ...

AI integration and workforce development: Exploring job autonomy and creative self-efficacy in a global context.

PloS one
This paper explores the relationship between Artificial Intelligence (AI) integration in the workplace, cultural orientation, and its impact on job autonomy and creative self-efficacy. Our study employs a mixed-method experimental design across 480 i...