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Signals shaping
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A focused stream of research, industry developments and ideas selected for people building the future of health.

Yusuf Yeşil, MD, MIS
Curated by Yusuf Yeşil, MD, MIS Clinical Biochemist & Health AI
Clinical AI Large Language Models Digital Health Computer Vision Health Economics AI Ethics
LATEST SIGNALS

Research and developments, with a clear point of view.

Highland Rebrands to Enhance Support for Health Tech Companies

Highland Rebrands to Enhance Support for Health Tech Companies

Highland rebrands to better support health tech companies in navigating market opportunities and driving...

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AI-Powered Virtual Reality Simulation for Clinical Handover Training: A Development Framework.

AI-Powered Virtual Reality Simulation for Clinical Handover Training: A Development Framework.

AI-Driven VR Enhances Nursing Handover Training: 3-Layer Framework, Real-Time Feedback, Pilot Study Results 📊👩‍⚕️

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Implementation, Experiences, Impact, and Costs of Artificial Intelligence in Chest Diagnostics: Protocol for a Mixed Methods Evaluation.

Implementation, Experiences, Impact, and Costs of Artificial Intelligence in Chest Diagnostics: Protocol for a Mixed Methods Evaluation.

AI in Chest Diagnostics: Evaluating Implementation, Costs, and Experiences in NHS Networks 📊🤖

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Artificial Intelligence in Stroke Care: A Narrative Review of Diagnostic, Predictive, and Workflow Applications.

Artificial Intelligence in Stroke Care: A Narrative Review of Diagnostic, Predictive, and Workflow Applications.

AI transforms stroke care: enhancing diagnostics, predicting outcomes, and optimizing workflows. Key findings from...

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AI Tools Enhance Understanding of Disease Origins

AI Tools Enhance Understanding of Disease Origins

AI tools are aiding scientists in tracking disease origins and immune responses, enhancing treatment...

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What Is Implementation Science: And Why It Matters for Bridging the Artificial Intelligence Innovation-to-Application Gap in Medical Imaging.

What Is Implementation Science: And Why It Matters for Bridging the Artificial Intelligence Innovation-to-Application Gap in Medical Imaging.

Implementation science bridges AI and medical imaging, addressing barriers for effective clinical adoption. 🤖📊

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Multimodal contrastive learning on rs-fMRI to quantify whole-brain network recovery after hypothalamic hamartoma surgery.

Multimodal contrastive learning on rs-fMRI to quantify whole-brain network recovery after hypothalamic hamartoma surgery.

"Multimodal contrastive learning enhances rs-fMRI analysis for post-surgery brain network recovery in hypothalamic hamartoma...

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New AI Framework Enhances Immune System Analysis

New AI Framework Enhances Immune System Analysis

New AI framework improves immune system analysis, offering faster and more accurate cell identification....

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Ethical aspects of the application of artificial intelligence in allergology.

Ethical aspects of the application of artificial intelligence in allergology.

AI in allergology: ethical challenges, bias, and the need for robust guidelines. 🤖⚖️

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