AIMC Topic: Humans

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How challenge stressors affect deviant innovation behavior among Chinese frontline textile workers in the age of artificial intelligence.

Scientific reports
Previous research has examined the impact of internal organizational stress on employee innovation behavior, but recent research has not thoroughly examined whether artificial intelligence can aid frontline workers in innovating beyond their workflow...

Determination of lung cancer exhaled breath biomarkers using machine learning-a new analysis framework.

Scientific reports
Exhaled breath samples of lung cancer patients (LC), tuberculosis (TB) patients and asymptomatic controls (C) were analyzed using gas chromatography-mass spectrometry (GC-MS). Ten volatile organic compounds (VOCs) were identified as possible biomarke...

Machine learning for the prediction of augmented renal clearance (ARC) in patients with sepsis in critical care units.

Scientific reports
This study aims to establish and validate prediction models based on novel machine learning (ML) algorithms for augmented renal clearance (ARC) in critically ill patients with sepsis. Patients with sepsis were extracted from the Medical Information M...

Video-based pupillometry using Fourier Mellin image correlation.

Scientific reports
We introduce a novel method for evaluating the pupil light reflex (PLR) response using digital video recordings. Expensive, specialized devices are replacing traditional penlight tests in emergency and neurotrauma departments, but they are not widely...

Generative AI may create a socioeconomic tipping point through labour displacement.

Scientific reports
Work is fundamental to societal prosperity and mental health, providing financial security, a sense of identity and purpose, and social integration. Job insecurity, underemployment and unemployment are well-documented risk factors for mental health i...

Machine learning technology in the classification of glaucoma severity using fundus photographs.

Scientific reports
This study evaluates the performance of a machine learning model in classifying glaucoma severity using color fundus photographs. Glaucoma severity grading was based on the Hodapp-Parrish-Anderson (HPA) criteria incorporating the mean deviation value...

Speech emotion recognition based on a stacked autoencoders optimized by PSO based grass fibrous root optimization.

Scientific reports
Effective speech emotion recognition (SER) poses a significant challenge due to the intricate and subjective nature of human emotions. Recognizing emotional states accurately from speech signals has a broad spectrum of practical applications, such as...

Analyses of the mechanism and therapeutic targets of senescence related genes in ischemic stroke with multi-omics approach.

Scientific reports
Ischemic stroke (IS) affects 11 million people annually, posing substantial clinical and economic burdens. Current therapies remain limited by time sensitivity and variable efficacy, necessitating novel biomarkers. We developed a multi-omics framewor...

A comprehensive explainable AI approach for enhancing transparency and interpretability in stroke prediction.

Scientific reports
Stroke is among the leading causes of death, especially among old adults. Thus, the mortality rate and severe cerebral disability can be avoided when stroke is diagnosed at its early stages, followed by subsequent treatment. There is no doubt that he...

A multimodal dataset for training deep learning models aimed at detecting and analyzing sleep apnea.

Scientific data
Sleep Apnea Syndrome (SAS) is a serious respiratory disorder that can lead to a range of complications, including hypertension, arrhythmias, cognitive impair- ment, and metabolic disturbances. Due to the insidious nature of its symptoms, patients oft...