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Signals shaping
health AI.

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.

Cloud EEG Privacy Using Red-Billed Blue Magpie Optimized Physics-Penalized Dual-Branch Spectral-Spatial Neural Network for Epileptic Seizure Prediction.

Cloud EEG Privacy Using Red-Billed Blue Magpie Optimized Physics-Penalized Dual-Branch Spectral-Spatial Neural Network for Epileptic Seizure Prediction.

Innovative seizure prediction: 99.95% accuracy using advanced neural networks and secure cloud technology. 🧠🔒

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Privacy, Security & Governance Frameworks for AI-Powered Wearable Internet of Health Things in Elderly Care: A Comprehensive Review.

Privacy, Security & Governance Frameworks for AI-Powered Wearable Internet of Health Things in Elderly Care: A Comprehensive Review.

AI wearables for elderly care: 1.4 billion seniors by 2030. Privacy concerns demand robust...

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From repair to reconstruction: a holistic perspective in abdominal wall hernia surgery.

From repair to reconstruction: a holistic perspective in abdominal wall hernia surgery.

Transitioning to functional reconstruction in hernia surgery enhances outcomes and quality of life. Key...

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Enhancing Target Recognition Performance in SSVEP-Based Brain-Computer Interfaces via Deep Neural Networks With Pyramid Squeeze Attention.

Enhancing Target Recognition Performance in SSVEP-Based Brain-Computer Interfaces via Deep Neural Networks With Pyramid Squeeze Attention.

Enhancing SSVEP-BCI performance with Pyramid Squeeze Attention: A deep neural network approach. 📊🧠

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Enterocutaneous Fistula-Associated Sepsis and Mortality: Development and Validation of a Multimodal Artificial Intelligence Prediction Model.

Enterocutaneous Fistula-Associated Sepsis and Mortality: Development and Validation of a Multimodal Artificial Intelligence Prediction Model.

AI predicts enterocutaneous fistula sepsis with 89% accuracy, integrating clinical, imaging, and transcriptomic data....

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Auditing the impact of social media’s policy shift on anti-vaccine discourse: A large language model-driven empirical study.

Auditing the impact of social media’s policy shift on anti-vaccine discourse: A large language model-driven empirical study.

Social media policy shifts significantly impact anti-vaccine discourse, increasing tweet prevalence by 60% post-policy....

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Speaking Patient’s Language: Assessment of Readability and Fidelity of Artificial Intelligence-Optimized Consent Forms.

Speaking Patient’s Language: Assessment of Readability and Fidelity of Artificial Intelligence-Optimized Consent Forms.

AI-enhanced consent forms improved readability from 14.1 to 8.8 grade levels, but content fidelity...

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Evaluation of AI Chatbot Responses to a Standardized Patient Query on Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease: Cross-Sectional Content Analysis.

Evaluation of AI Chatbot Responses to a Standardized Patient Query on Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease: Cross-Sectional Content Analysis.

AI Chatbots' Responses on MOGAD: Quality Varies Significantly 📊🤖

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First Comprehensive Guide for Safe Use of AI Health Chatbots

First Comprehensive Guide for Safe Use of AI Health Chatbots

New guide for safe use of AI health chatbots launched by University of Birmingham...

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