A comprehensive review of elderly fall detection using wireless communication and artificial intelligence techniques

SK Gharghan, HA Hashim - Measurement, 2024 - Elsevier
Falls among older adults substantially affect mobility, health, and mortality. However,
advancements in wireless and internet-of-things technologies have led to the development …

Advancement in the automation of paved roadways performance patrolling: A review

MS Islam, AM Ibrahim, KE Hoque, KA Bakhuraisa, U Ali… - Measurement, 2024 - Elsevier
This review critically analyzes available tools and techniques for road damage assessment
and monitoring and identifies further research areas. After the review, several are found for …

EEG-based schizophrenia classification using penalized sequential dictionary learning in the context of mobile healthcare

U Haider, M Hanif, A Rashid, SM Qaisar… - … Signal Processing and …, 2024 - Elsevier
Mobile healthcare is an appealing approach based on the Internet of Medical Things (IoMT)
and cloud computing. It can lead to unobstructed, economical, and patient-centric healthcare …

Trust, Ethics, and User-Centric Design in AI-Integrated Genomics

F Al-Akayleh, ASAA Agha - 2024 2nd International Conference …, 2024 - ieeexplore.ieee.org
This study examines the integration of genomics and artificial intelligence (AI) in the
healthcare industry, focusing on the ethical and trust-related issues that arise from this …

AI-enabled dental caries detection using transfer learning and gradient-based class activation mapping

H Inani, V Mehta, D Bhavsar, RK Gupta, A Jain… - Journal of Ambient …, 2024 - Springer
Dental caries detection holds the key to unlocking brighter smiles and healthier lives by
identifying one of the most common oral health issues early on. This vital topic sheds light on …

[HTML][HTML] An adaptive network model for AI-assisted monitoring and management of neonatal respiratory distress

N Mokadem, F Jabeen, J Treur, HR Taal… - Cognitive Systems …, 2024 - Elsevier
This article presents the use of second-order adaptive network models of hospital teams
consisting of doctors and nurses, interacting together. A variety of scenarios are modelled …

Spatiotemporal crowds features extraction of infrared images using neural network

AM Al-Oraiqat, O Drieiev, H Drieieva… - Journal of Ambient …, 2024 - Springer
Crowds can lead up to severe disasterous consequences resulting in fatalities. Videos
obtained through public cameras or captured by drones flying overhead can be processed …

The Auto Health Revolution Ai Strategies For Insurance And Healthcare

RCA Komperla - International Neurourology Journal, 2023 - einj.net
Artificial intelligence (man-made intelligence) will be utilized in the healthcare business
increasingly more on account of the intricacy and development of information in this area …

Analyzing Machine Learning Classifiers for the Diagnosis of Heart Disease

S Thangavel, S Selvaraj… - … on Pervasive Health and …, 2024 - publications.eai.eu
INTRODUCTION: Preventable deaths from cardiovascular diseases outnumber all others
combined. Detecting it at an early stage is crucial. Human lives will be saved as a result …

Hybrid optimized temporal convolutional networks with long short-term memory for heart disease prediction with deep features

M Balamurugan, DS Meera - Computer Methods in Biomechanics …, 2024 - Taylor & Francis
A heart attack is intended as top prevalent among all ruinous ailments. Day by day, the
number of affected people count is increasing globally. The medical field is struggling to …