The opportunities and challenges for artificial intelligence to improve sepsis outcomes in the paediatric intensive care unit
Abstract Purpose of Review To describe existing applications of artificial intelligence (AI) in
sepsis management and the opportunities and challenges associated with its …
sepsis management and the opportunities and challenges associated with its …
Infant cry classification by MFCC feature extraction with MLP and CNN structures
In this study, Dunstan's infant cry data set is pre-processed with the feature vector approach,
including MFCC (19 features) and energy (one feature). By using extracted features and …
including MFCC (19 features) and energy (one feature). By using extracted features and …
Machine learning in automated diagnosis of autism spectrum disorder: a comprehensive review
K Rezaee - Computer Science Review, 2025 - Elsevier
Abstract Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition
characterized by social communication challenges, repetitive behaviors, and restricted …
characterized by social communication challenges, repetitive behaviors, and restricted …
Infant cry signal diagnostic system using deep learning and fused features
Early diagnosis of medical conditions in infants is crucial for ensuring timely and effective
treatment. However, infants are unable to verbalize their symptoms, making it difficult for …
treatment. However, infants are unable to verbalize their symptoms, making it difficult for …
A novel deep learning-based approach for prediction of neonatal respiratory disorders from chest X-ray images
In recent years, many diseases can be diagnosed in a short time with the use of deep
learning models in the field of medicine. Most of the studies in this area focus on adult or …
learning models in the field of medicine. Most of the studies in this area focus on adult or …
Using CCA-fused cepstral features in a deep learning-based cry diagnostic system for detecting an ensemble of pathologies in newborns
Z Khalilzad, C Tadj - Diagnostics, 2023 - mdpi.com
Crying is one of the means of communication for a newborn. Newborn cry signals convey
precious information about the newborn's health condition and their emotions. In this study …
precious information about the newborn's health condition and their emotions. In this study …
[HTML][HTML] AI Algorithms for Modeling the Risk, Progression, and Treatment of Sepsis, Including Early-Onset Sepsis—A Systematic Review
Sepsis remains a significant contributor to neonatal mortality worldwide. However, the
nonspecific nature of sepsis symptoms in neonates often leads to the necessity of empirical …
nonspecific nature of sepsis symptoms in neonates often leads to the necessity of empirical …
Transformer-based approach to pathology diagnosis using audio spectrogram
Early detection of infant pathologies by non-invasive means is a critical aspect of pediatric
healthcare. Audio analysis of infant crying has emerged as a promising method to identify …
healthcare. Audio analysis of infant crying has emerged as a promising method to identify …
Use of psychoacoustic spectrum war**, decision template fusion, and neighborhood component analysis in newborn cry diagnostic systems
Z Khalilzad, C Tadj - The Journal of the Acoustical Society of America, 2024 - pubs.aip.org
Dealing with newborns' health is a delicate matter since they cannot express needs, and
crying does not reflect their condition. Although newborn cries have been studied for various …
crying does not reflect their condition. Although newborn cries have been studied for various …
Voice as a Biomarker of Pediatric Health: A Sco** Review
HP Rogers, A Hseu, J Kim, E Silberholz, S Jo, A Dorste… - Children, 2024 - mdpi.com
The human voice has the potential to serve as a valuable biomarker for the early detection,
diagnosis, and monitoring of pediatric conditions. This sco** review synthesizes the …
diagnosis, and monitoring of pediatric conditions. This sco** review synthesizes the …