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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.

A novel digital twin strategy to examine the implications of randomized clinical trials for real-world populations.

A novel digital twin strategy to examine the implications of randomized clinical trials for real-world populations.

Exploring RCT-Twin-GAN: A digital twin model for real-world clinical trial implications. 📊💡

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Data Shortcomings in Gynaecology Impact Women’s Healthcare

Data Shortcomings in Gynaecology Impact Women’s Healthcare

Data gaps in gynaecology hinder timely diagnosis and treatment for women, impacting overall healthcare...

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Ethical Considerations for AI-Enabled Voice Analysis: Features of an Emerging Bioethics Literature.

Ethical Considerations for AI-Enabled Voice Analysis: Features of an Emerging Bioethics Literature.

Exploring AI Voice Analysis Ethics: 48 studies reviewed, highlighting data privacy, health equity, and...

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AI System Diagnoses Brain MRIs in Seconds with High Accuracy

AI System Diagnoses Brain MRIs in Seconds with High Accuracy

AI model analyzes brain MRIs in seconds, achieving 97.5% accuracy in diagnosing neurological conditions....

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Mixture-of-Skip-Connection Deep Learning Model to Classify Stroke Severity from Diffusion Weighted Imaging Based on NIHSS.

Mixture-of-Skip-Connection Deep Learning Model to Classify Stroke Severity from Diffusion Weighted Imaging Based on NIHSS.

Innovative TRACT-NET model predicts stroke severity with 81.37% accuracy using DWI scans and NIHSS...

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New AI Tool Assesses Heart Attack Risks in Cancer Patients

New AI Tool Assesses Heart Attack Risks in Cancer Patients

New AI tool predicts heart attack risks in cancer patients. This advancement could improve...

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AI Tool Aims to Personalize Ovarian Cancer Treatment from Diagnosis

AI Tool Aims to Personalize Ovarian Cancer Treatment from Diagnosis

AI tool may personalize ovarian cancer treatment from diagnosis, aiding patient response predictions. 🤖🎗️

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Clinical development of molecular residual disease (MRD) and multi-cancer early detection (MCED) using liquid biopsy multiomics with artificial intelligence (AI).

Clinical development of molecular residual disease (MRD) and multi-cancer early detection (MCED) using liquid biopsy multiomics with artificial intelligence (AI).

Revolutionizing cancer detection: AI-driven multi-omics enhances sensitivity for MRD and MCED assays. 📊🔬

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Population Health Analytics Enhancing Early Intervention in the NHS

Population Health Analytics Enhancing Early Intervention in the NHS

Population health analytics improve early intervention in the NHS, benefiting nearly nine million patients....

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