TRANSFORMING EMERGENCY RESPONSE AND DISASTER MANAGEMENT WITH AI: DEVELOPING INTELLIGENT SYSTEMS FOR TRIAGE, RESOURCE …

YS Fernando - … Journal of Applied Machine Learning and …, 2023 - neuralslate.com
Emergency response and disaster management in healthcare crises require rapid decision-
making, efficient resource allocation, and effective coordination among multiple …

OPTIMIZATION OF RESOURCE ALLOCATION IN CLOUD COMPUTING ENVIRONMENTS UTILIZING ARTIFICIAL INTELLIGENCE TECHNIQUES

SABM Yusof - International Journal of Applied Machine Learning …, 2023 - neuralslate.com
Cloud computing has revolutionized the way businesses and organizations operate by
providing scalable, flexible, and cost-effective computing resources on-demand. However …

Optimizing Patient Care through Intelligent Medical Imaging: Investigating the Potential of Computer Vision and AI-Driven Analysis in Radiology and Pathology

T Van Anh - International Journal of Artificial Intelligence and IoT in …, 2023 - vectoral.org
Medical imaging plays a crucial role in the diagnosis, treatment, and monitoring of various
diseases. With the advent of computer vision and artificial intelligence (AI) technologies …

Enhancing Resilience in Critical Infrastructure Through Deep Learning: Strategies for Risk Assessment and Mitigation

RK Jha, K Devi - Journal of Sustainable Technologies and …, 2024 - publications.dlpress.org
The resilience of critical infrastructure, encompassing systems such as transportation
networks, power grids, water supplies, and communication systems, is essential for societal …

Advancing Telemedicine with Computer Vision and AI: Developing Intelligent Algorithms for Remote Patient Monitoring, Triage, and Consultation

D Van Hieu - International Journal of Artificial Intelligence and IoT in …, 2023 - vectoral.org
Telemedicine has emerged as a vital aspect of healthcare delivery, providing remote access
to medical services and improving patient care. With the advancements in computer vision …

Computer Vision and AI for Personalized Medicine: Investigating the Role of Machine Learning in Predicting Treatment Response and Optimizing Therapeutic …

BT Hoai - International Journal of Artificial Intelligence and IoT in …, 2023 - vectoral.org
Personalized medicine has emerged as a promising approach to healthcare, aiming to tailor
medical interventions to individual patients based on their unique characteristics. Computer …

Ensuring Patient Safety and Quality of Care with Computer Vision and AI: Developing Intelligent Systems for Medication Administration, Fall Detection, and Infection …

ON Weeraratne - Journal of Applied Smart HealthCare Informatics, 2023 - orientreview.com
Patient safety and quality of care are paramount concerns in healthcare facilities, and
technology plays an increasingly important role in addressing these challenges. Computer …

Addressing Healthcare Disparities with Computer Vision and AI: Investigating the Potential of Intelligent Systems to Improve Access, Equity, and Outcomes in …

ND Ranasinghe - Journal of Applied Smart HealthCare …, 2023 - orientreview.com
Healthcare disparities, characterized by unequal access to healthcare services and
disproportionate health outcomes among different populations, remain a significant …

Cloud Computing and Deep Learning for Real-Time Anomaly Detection in Patient Monitoring Systems

P Thakur - AI, IoT and the Fourth Industrial Revolution Review, 2023 - scicadence.com
Real-time anomaly detection in patient monitoring systems is critical for timely intervention
and improved patient outcomes. Traditional systems often rely on predefined thresholds and …

Optimizing Resource Allocation and Workflow Efficiency in Healthcare with Computer Vision and AI: Developing Intelligent Systems for Patient Flow Management …

TR Peiris - Journal of Applied Smart HealthCare Informatics, 2023 - orientreview.com
Efficient resource allocation and workflow management are critical challenges in healthcare
systems worldwide. Suboptimal utilization of resources, including staffing, equipment, and …