Artificial Intelligence in Pediatric Emergency Medicine: Applications, Challenges, and Future Perspectives
L Di Sarno, A Caroselli, G Tonin, B Graglia, V Pansini… - Biomedicines, 2024 - mdpi.com
The dawn of Artificial intelligence (AI) in healthcare stands as a milestone in medical
innovation. Different medical fields are heavily involved, and pediatric emergency medicine …
innovation. Different medical fields are heavily involved, and pediatric emergency medicine …
Assessing the potential for virtualizable care in the pediatric emergency department
E Osmanlliu, B Burstein, R Tamblyn… - … of Telemedicine and …, 2024 - journals.sagepub.com
Introduction There is increasing interest for patient-to-provider telemedicine in pediatric
acute care. The suitability of telemedicine (virtualizability) for visits in this setting has not …
acute care. The suitability of telemedicine (virtualizability) for visits in this setting has not …
Interpretable 3D Multi-modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis
Abstract Mild Traumatic Brain Injury (mTBI) is a significant public health challenge due to its
high prevalence and potential for long-term health effects. Despite Computed Tomography …
high prevalence and potential for long-term health effects. Despite Computed Tomography …
Machine Learning Applications in Traumatic Brain Injury Diagnosis and Prognosis: A Spotlight on Mild TBI and CT Imaging
Traumatic Brain Injury (TBI) poses a significant global public health challenge, contributing
to high morbidity and mortality rates and placing a substantial economic burden on …
to high morbidity and mortality rates and placing a substantial economic burden on …
Enhancing mTBI Diagnosis with Residual Triplet Convolutional Neural Network Using 3D CT
Mild Traumatic Brain Injury (mTBI) is a common and challenging condition to diagnose
accurately. Timely and precise diagnosis is essential for effective treatment and improved …
accurately. Timely and precise diagnosis is essential for effective treatment and improved …
Federated Convolutional Neural Networks for Predictive Analysis of Traumatic Brain Injury: Advancements in Decentralized Health Monitoring.
Abstract Traumatic Brain Injury (TBI) is a significant global health concern, often leading to
long-term disabilities and cognitive impairments. Accurate and timely diagnosis of TBI is …
long-term disabilities and cognitive impairments. Accurate and timely diagnosis of TBI is …
The Strategic Efficacy of Artificial Intelligence (AI) in Medical Tourism
O Gbobaniyi, D Tincani, P Emelone - Impact of AI and Robotics on …, 2024 - igi-global.com
AI's integration and adoption in the sector have evolved to be a game-changer through
operational revolutionisation regarding accessibility to advanced diagnosis and treatments …
operational revolutionisation regarding accessibility to advanced diagnosis and treatments …
[引用][C] Deep learning strategies for enhanced mTBI diagnosis using clinical and CT data
H Ellethy - 2024 - espace.library.uq.edu.au
Mild Traumatic Brain Injury (mTBI) represents a substantial public health concern,
accounting for over 90% of all Traumatic Brain Injury (TBI) cases worldwide. Traditional …
accounting for over 90% of all Traumatic Brain Injury (TBI) cases worldwide. Traditional …