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. 📈🩺
June 7, 2025
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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. 🤖🔍
June 7, 2025
Collaborative Efforts of Health Centers to Address AI Implementation Challenges
Health centers collaborate to tackle AI challenges, enhancing care access and operational efficiency. 🤝💡
June 7, 2025
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. 📱💬
June 7, 2025
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. 📱💙
June 6, 2025
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. 📈🔍
June 6, 2025
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. 📊🏥
June 6, 2025
Lissamine Green in Ophthalmology: A Comprehensive Review of Diagnostic and Clinical Applications.
Lissamine Green: Key Diagnostic Tool in Ocular Surface Disease 🏥👁️
June 6, 2025
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. 📅💻
June 6, 2025
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. 🤖🔬
June 6, 2025