Partial prior transfer learning based on self-attention CNN for EEG decoding in stroke patients.
New research highlights a self-attention CNN approach for improving EEG decoding in stroke rehabilitation. 🧠💪
Advancements in Surgical Techniques Through Artificial Intelligence
AI enhances surgical techniques by personalizing treatment plans and providing real-time guidance, improving patient safety and outcomes. 🤖💉
Decoding the Digital Pulse: Bibliometric Analysis of 25 Years in Digital Health Research Through the Journal of Medical Internet Research.
Exploring 25 years of digital health research reveals trends in AI, mental health, and COVID-19 impacts. 📈💻
Non-invasive multiple cancer screening using trained detection canines and artificial intelligence: a prospective double-blind study.
A promising study reveals non-invasive cancer screening using trained canines and AI, showing high sensitivity and specificity. 🐶💻
Drones to Expedite Blood Sample Delivery at Guy’s and St Thomas’ NHS Trust
Drones are now delivering blood samples at Guy's and St Thomas' NHS Trust, enhancing patient care and reducing transport time. 🚁💉
Human Factors, Human-Centered Design, and Usability of Sensor-Based Digital Health Technologies: Scoping Review.
Recent review highlights challenges in sensor-based digital health technologies (sDHTs) usability. Key recommendations for future studies include broader user inclusion and detailed reporting. 📊💡
Automatic localization and deep convolutional generative adversarial network-based classification of focal liver lesions in computed tomography images: A preliminary study.
A new study reveals a deep learning system for accurately diagnosing liver lesions in CT images. 🤖🩻
Recent Developments in Digital Health Contracts and Implementations
Digital health contracts are evolving. Cheshire and Merseyside's LIMS and Princess Alexandra's EHR enhance patient care and streamline processes. 🏥💻
Drug repurposing for neglected and zoonotic diseases.
Exploring drug repurposing for neglected diseases can enhance research efficiency and reduce costs. 🌍💊 Read our review of a recent study.
Artificial intelligence modeling of biomarker-based physiological age: Impact on phase 1 drug-metabolizing enzyme phenotypes.
AI models assess physiological age using biomarkers, impacting drug metabolism. Key predictors include glycohemoglobin and systolic blood pressure. 🧬💉