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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.

2026: A Key Year for Electronic Health Records in the UK

2026: A Key Year for Electronic Health Records in the UK

2026 is crucial for UK electronic health records. Predictive care will shape the future...

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Convolutional Neural Networks in Chronic Wound Segmentation and Tissue Classification Using Real-World Images.

Convolutional Neural Networks in Chronic Wound Segmentation and Tissue Classification Using Real-World Images.

AI in Chronic Wound Care: CNNs Achieve DSC of 0.927 📊, IoU of 0.868...

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Study Reveals Limitations in AI Medical Triage Systems

Study Reveals Limitations in AI Medical Triage Systems

Study shows AI medical triage systems may misdirect users in serious cases, raising concerns...

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A machine learning model to simplify recognition of patients with atrial fibrillation based on diagnostic codes in Swedish primary health care.

A machine learning model to simplify recognition of patients with atrial fibrillation based on diagnostic codes in Swedish primary health care.

Machine learning enhances atrial fibrillation detection in Swedish healthcare, improving diagnostic accuracy and patient...

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Potential Review of Palantir’s NHS Contract Amidst Performance Concerns

Potential Review of Palantir’s NHS Contract Amidst Performance Concerns

Palantir's NHS contract may face review due to performance issues. Alternatives could be considered...

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Chest Tube Learning Synthesis and Evaluation Assistant (CheLSEA): A Prospective Observational Trial of an Intelligent Decision Support System.

Chest Tube Learning Synthesis and Evaluation Assistant (CheLSEA): A Prospective Observational Trial of an Intelligent Decision Support System.

AI in Chest Tube Management: CheLSEA's 93% Accuracy in Removal Predictions 📊🤖

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Concerns Over AI Cancer Tools Relying on Statistical Shortcuts

Concerns Over AI Cancer Tools Relying on Statistical Shortcuts

AI cancer tools may depend on shortcuts, raising concerns about their reliability in diagnosing...

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Use of Deep Learning Models in the Diagnosis of Proptosis Through Orbital Magnetic Resonance Imaging.

Use of Deep Learning Models in the Diagnosis of Proptosis Through Orbital Magnetic Resonance Imaging.

Deep learning models show 95% accuracy in diagnosing proptosis via MRI, enhancing objectivity in...

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Artificial intelligence in cancer survivorship: evaluating ChatGPT’s performance in rehabilitation-related queries.

Artificial intelligence in cancer survivorship: evaluating ChatGPT’s performance in rehabilitation-related queries.

AI in Cancer Rehab: ChatGPT's Accuracy at 3.93/5 📊, Completeness 2.13/3 📋, Global Quality...

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