Here are the latest breakthroughs in health & AI (June 09, 2025 week)

🔹 Omada Health Begins Trading on Nasdaq at $19 per Share

Omada Health starts trading on Nasdaq at $19 per share, raising $150 million for chronic care management. 📈💼

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🔹 From Acquisition to Prognosis: The Role of AI in Cardiac Magnetic Resonance Imaging Evaluation of Ischemic Cardiomyopathy.

AI enhances cardiac MRI for ischemic cardiomyopathy, improving accuracy and prognosis. Key findings from PubMed article reviewed. 🫀📊

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🔹 FDA Introduces AI Tool to Enhance Employee Efficiency

FDA launches Elsa, an AI tool aimed at improving employee efficiency and enhancing agency functions. 🤖📄

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🔹 Systematic scoping review of external validation studies of AI pathology models for lung cancer diagnosis.

AI models for lung cancer diagnosis show AUC values from 0.746 to 0.999, but require more robust external validation. 📊🩺

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🔹 ACU Collaborates with Skybox Health for Digital Nursing Education Development

ACU partners with Skybox Health to create a digital nursing education platform, enhancing training for future healthcare professionals. 📚💻

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🔹 A deep learning system for detecting silent brain infarction and predicting stroke risk.

Deep learning detects silent brain infarctions via retinal images, achieving AUCs of 0.901 for incident and 0.769 for recurrent strokes. 🧠📈

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🔹 NHS Scotland Seeks £206 Million Cloud Integration Solution

NHS Scotland seeks £206 million for a cloud integration solution to enhance HR, finance, and procurement processes. ☁️💰

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🔹 Histopathologic deep learning model for predicting tumor response to hepatic arterial infusion chemotherapy plus TKIs and ICIs in large hepatocellular carcinoma.

Deep learning predicts tumor response in large HCC: HTI shows 54.45% ORR vs. 21.65% for HAIC. 📊🧬

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🔹 Enhancing Cybersecurity in Healthcare: Key Strategies for CISOs and CIOs

Title: Key Strategies for Healthcare Cybersecurity 🏥🔒

CISOs and CIOs can enhance cybersecurity using AI, virtual CISOs, and device management.

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🔹 The Integration of Artificial Intelligence and Augmented Reality in Dental Education: Current Applications and Future Potential.

AI and AR in dental education enhance skills, improve diagnostics, and offer immersive learning experiences. Significant potential ahead! 🦷🤖

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🔹 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. 📈🩺

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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. 🤖🔍

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🔹 Collaborative Efforts of Health Centers to Address AI Implementation Challenges

Health centers collaborate to tackle AI challenges, enhancing care access and operational efficiency. 🤝💡

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🔹 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. 📱💬

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🔹 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. 📱💙

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🔹 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. 📈🔍

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🔹 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. 📊🏥

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🔹 Lissamine Green in Ophthalmology: A Comprehensive Review of Diagnostic and Clinical Applications.

Lissamine Green: Key Diagnostic Tool in Ocular Surface Disease 🏥👁️

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🔹 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. 📅💻

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🔹 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. 🤖🔬

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That’s a wrap for this week’s digest! Stay tuned for more health & AI updates. 🚀💡

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