RadNet Expands AI Capabilities with Acquisition of See-Mode Technologies
RadNet has acquired See-Mode Technologies to enhance AI capabilities in ultrasound imaging for thyroid and breast health. 📈🩺
Letter to the Editor on “Artificial Intelligence Based Augmented Reality Navigation in Minimally Invasive Partial Nephrectomy”.
Exploring AI in minimally invasive nephrectomy: insights from Guo Q's letter on augmented reality navigation. 🤖🔍
Collaborative Efforts of Health Centers to Address AI Implementation Challenges
Health centers collaborate to tackle AI challenges, enhancing care access and operational efficiency. 🤝💡
Speaking from the heart: a story about innovation, resilience, and infinite possibilities with AAC.
Exploring AAC innovation: emotional expression, AI integration, and brain-computer interfaces transform communication. 📱💬
New Application Supports Caregivers of Bone Marrow Transplant Patients
New app aids caregivers of bone marrow transplant patients, improving quality of life and reducing stress. 📱💙
Predicting chronic pain using wearable devices: a scoping review of sensor capabilities, data security, and standards compliance.
Wearable devices show potential in chronic pain prediction, but data security and model integration need improvement. 📈🔍
Newcastle Hospitals Develops Data Platform for Enhanced Medical Research
Newcastle Hospitals is enhancing medical research with a new data platform. This aims to improve patient outcomes and support innovation. 📊🏥
Lissamine Green in Ophthalmology: A Comprehensive Review of Diagnostic and Clinical Applications.
Lissamine Green: Key Diagnostic Tool in Ocular Surface Disease 🏥👁️
NHS England Redirects £69 Million from eBCMS to Enhance Electronic Patient Records
NHS England reallocates £69 million from eBCMS to enhance electronic patient records, aiming for full implementation by March 2026. 📅💻
Comparing models and experimental structures of the GPR101 receptor: Artificial intelligence yields highly accurate models.
AI models outperform traditional methods in GPR101 receptor analysis, revealing critical insights for GPCR modeling. 🤖🔬