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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.

Evaluating large language models for orthodontic consultation in patients with periodontitis: a study of reliability, quality, and readability.

Evaluating large language models for orthodontic consultation in patients with periodontitis: a study of reliability, quality, and readability.

Evaluating LLMs for orthodontic consultations: Grok-3 excels in reliability, while DeepSeek-V3 leads in readability....

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Prognostic Modeling Based on Post-Endovascular Thrombectomy Systolic Blood Pressure Trajectories Using Explainable Artificial Intelligence: A Secondary Analysis of the OPTIMAL-BP Trial.

Prognostic Modeling Based on Post-Endovascular Thrombectomy Systolic Blood Pressure Trajectories Using Explainable Artificial Intelligence: A Secondary Analysis of the OPTIMAL-BP Trial.

Post-except: AI enhances BP management post-EVT, improving outcomes with AUC 0.86 vs. 0.80. Key...

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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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