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Trustworthy AI guidelines in biomedical decision-making applications: a sco** review
Recently proposed legal frameworks for Artificial Intelligence (AI) depart from some
frameworks of concepts regarding ethical and trustworthy AI that provide the technical …
frameworks of concepts regarding ethical and trustworthy AI that provide the technical …
Artificial intelligence and machine learning in disorders of consciousness
Artificial intelligence and machine learning can assist in clinical decision-making, including
the diagnosis, prognosis, and therapy for patients with disorders of consciousness. The …
the diagnosis, prognosis, and therapy for patients with disorders of consciousness. The …
Real-time Arabic avatar for deaf-mute communication enabled by deep learning sign language translation
Deaf-mute individuals encounter substantial difficulties in their daily lives due to
communication impediments. These individuals may encounter difficulties in social contact …
communication impediments. These individuals may encounter difficulties in social contact …
A clinical decision support system for edge/cloud ICU readmission model based on particle swarm optimization, ensemble machine learning, and explainable artificial …
ICU readmission is usually associated with an increased number of hospital death.
Predicting readmission helps to reduce such risks by avoiding early discharge, providing …
Predicting readmission helps to reduce such risks by avoiding early discharge, providing …
A systematic survey on security and privacy issues of medicine supply chain: Taxonomy, framework, and research challenges
Several decades ago, the medicine supply chain (MSC) transferred the medicines from the
manufacturer to the end‐consumer and kept all records in a manual register. The manual …
manufacturer to the end‐consumer and kept all records in a manual register. The manual …
MAIPFE: An Efficient Multimodal Approach Integrating Pre-Emptive Analysis, Personalized Feature Selection, and Explainable AI.
Abstract Medical Internet of Things (IoT) devices are becoming more and more common in
healthcare. This has created a huge need for advanced predictive health modeling …
healthcare. This has created a huge need for advanced predictive health modeling …
[HTML][HTML] LSTMDD: an optimized LSTM-based drift detector for concept drift in dynamic cloud computing
This study aims to investigate the problem of concept drift in cloud computing and
emphasizes the importance of early detection for enabling optimum resource utilization and …
emphasizes the importance of early detection for enabling optimum resource utilization and …
XAI Unveiled: Revealing the Potential of Explainable AI in Medicine-A Systematic Review
Nowadays, artificial intelligence in medicine plays a leading role. This necessitates the need
to ensure that artificial intelligence systems are not only high-performing but also …
to ensure that artificial intelligence systems are not only high-performing but also …
A low-cost approach for drowning detection and alertness
MA Ibrahim, ME Ali, MN Ahmed… - Egyptian Journal of …, 2024 - ejai.journals.ekb.eg
In this paper, a unique approach has been developed to detect drowning by using a chest
area belt equipped with a pressure sensor to monitor the breathing rate of the person …
area belt equipped with a pressure sensor to monitor the breathing rate of the person …
[PDF][PDF] Smart Tour Guide: A Novel Artificial Intelligence System for Replacing Human Guides in Cultural Heritage Sites
MH Abdella, AA Hawash, OE Zahran… - Egyptian Journal of …, 2024 - ejai.journals.ekb.eg
Egypt is one of the most popular tourist destinations in the world. In this paper, we propose a
smart device to act as a tour guide and a mobile application with exceptional features to …
smart device to act as a tour guide and a mobile application with exceptional features to …