[HTML][HTML] Artificial intelligence in emergency medicine: viewpoint of current applications and foreseeable opportunities and challenges
Emergency medicine and its services have reached a breaking point during the COVID-19
pandemic. This pandemic has highlighted the failures of a system that needs to be …
pandemic. This pandemic has highlighted the failures of a system that needs to be …
Effectiveness of mHealth interventions in medication adherence among patients with cardiovascular diseases: A systematic review
mHealth interventions have been reported to improve adherence to long-term therapies in
chronic conditions. Therefore, this study aimed at determining the effectiveness of mHealth …
chronic conditions. Therefore, this study aimed at determining the effectiveness of mHealth …
Know thy eHealth user: Development of biopsychosocial personas from a study of older adults with heart failure
Background Personas are a canonical user-centered design method increasingly used in
health informatics research. Personas—empirically-derived user archetypes—can be used …
health informatics research. Personas—empirically-derived user archetypes—can be used …
Non-invasive data acquisition and IoT solution for human vital signs monitoring: Applications, limitations and future prospects
M Salem, A Elkaseer, IAM El-Maddah, KY Youssef… - Sensors, 2022 - mdpi.com
The rapid development of technology has brought about a revolution in healthcare
stimulating a wide range of smart and autonomous applications in homes, clinics, surgeries …
stimulating a wide range of smart and autonomous applications in homes, clinics, surgeries …
Enhancing efficiency and capacity of telehealth services with intelligent triage: a bidirectional LSTM neural network model employing character embedding
J Shi, M Ye, H Chen, Y Lu, Z Tan, Z Fan… - BMC Medical Informatics …, 2023 - Springer
Background The widespread adoption of telehealth services necessitates accurate online
department selection based on patient medical records, a task requiring significant medical …
department selection based on patient medical records, a task requiring significant medical …
Advanced Data Processing of Pancreatic Cancer Data Integrating Ontologies and Machine Learning Techniques to Create Holistic Health Records
G Manias, A Azqueta-Alzúaz, A Dalianis, J Griffiths… - Sensors, 2024 - mdpi.com
The modern healthcare landscape is overwhelmed by data derived from heterogeneous IoT
data sources and Electronic Health Record (EHR) systems. Based on the advancements in …
data sources and Electronic Health Record (EHR) systems. Based on the advancements in …
Modeling the Conversation with Digital Health Assistants in Adherence Apps: Some Considerations on the Similarities and Differences with Familiar Medical …
A Spagnolli, G Cenzato, L Gamberini - International Journal of …, 2023 - mdpi.com
Digital health assistants (DHAs) are conversational agents incorporated into health systems'
interfaces, exploiting an intuitive interaction format appreciated by the users. At the same …
interfaces, exploiting an intuitive interaction format appreciated by the users. At the same …