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From sensors to safety: Internet of Emergency Services (IoES) for emergency response and disaster management
The advancement in technology has led to the integration of internet-connected devices and
systems into emergency management and response, known as the Internet of Emergency …
systems into emergency management and response, known as the Internet of Emergency …
New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease
Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …
[PDF][PDF] Use of artificial intelligence in triage in hospital emergency departments: a sco** review
S Tyler, M Olis, N Aust, L Patel, L Simon… - Cureus, 2024 - cureus.com
The integration of artificial intelligence (AI) and machine learning (ML) in healthcare has
become a major point of interest and raises the question of its impact on the emergency …
become a major point of interest and raises the question of its impact on the emergency …
Multisource Data Framework for Prehospital Emergency Triage in Real-Time IoMT-Based Telemedicine Systems
Abstract Background and Objective The Internet of Medical Things (IoMT) has revolutionized
telemedicine by enabling the remote monitoring and management of patient care …
telemedicine by enabling the remote monitoring and management of patient care …
A hybrid computational approach to process real-time streaming multi-sources data and improve classification for emergency patients triage services: moving forward …
Abstract In the Internet of Medical Things (IoMT)-based real-time telemedicine systems,
patients can utilize a wide range of medical devices and sensors, which leads to the …
patients can utilize a wide range of medical devices and sensors, which leads to the …
[HTML][HTML] Development and validation of a machine learning approach for screening new leprosy cases based on the leprosy suspicion questionnaire
M Mendonça Ramos Simões, F Rocha Lima… - Scientific Reports, 2025 - nature.com
Leprosy is a dermatoneurological disease and can cause irreversible nerve damage. In
addition to being able to mimic different rheumatological, neurological and dermatological …
addition to being able to mimic different rheumatological, neurological and dermatological …
Combining IoMT and XAI for Enhanced Triage Optimization: An MQTT Broker Approach with Contextual Recommendations for Improved Patient Priority Management …
The widespread adoption of the Internet of Things has significantly enhanced our daily lives
across various dimensions. E-health has significantly benefited from advancements in the …
across various dimensions. E-health has significantly benefited from advancements in the …
[PDF][PDF] Early Triage Prediction for Outpatient Care Based on Heterogeneous Medical Data Utilizing Machine Learning.
Traditional triage tools hospitals use face limitations in handling the increasing number of
patients and analyzing complex data. These ongoing challenges in patient triage …
patients and analyzing complex data. These ongoing challenges in patient triage …
[PDF][PDF] A novel framework for multiple disease prediction in telemedicine systems using deep learning
DR Unnithan, JR Jeba - Automatika: časopis za automatiku, mjerenje …, 2024 - hrcak.srce.hr
Telemedicine systems are gaining popularity due to their ability to provide remote medical
services. These systems produce a lot of data, which may be used for a variety of purposes …
services. These systems produce a lot of data, which may be used for a variety of purposes …
Machine Learning in Diabetes Modeling
Machine learning (ML) has become an integral component of diabetes research. Its
applications encompass prediction, identification, classification, and diagnosis of diabetes …
applications encompass prediction, identification, classification, and diagnosis of diabetes …