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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.

AI and Human Collaboration May Reduce Mammography Screening Costs by 30%

AI and Human Collaboration May Reduce Mammography Screening Costs by 30%

AI-human collaboration in mammography could lower screening costs by 30% while maintaining patient safety....

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OptiStack classifier: optimized stacking framework with ensemble feature engineering for enhanced cardiovascular risk prediction.

OptiStack classifier: optimized stacking framework with ensemble feature engineering for enhanced cardiovascular risk prediction.

"OptiStack Classifier: Enhancing CVD Risk Prediction with Ensemble Feature Engineering and Machine Learning Techniques...

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Recent Developments in AI Tools for Healthcare

Recent Developments in AI Tools for Healthcare

AI tools in healthcare are advancing rapidly, enhancing patient insights and improving data accuracy....

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Creatine kinase in prostate cancer: A biosensor-driven diagnostic paradigm.

Creatine kinase in prostate cancer: A biosensor-driven diagnostic paradigm.

Innovative CK-BB biosensors show over 85% accuracy in prostate cancer detection! ⚗️📊 Rapid, sensitive...

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AI Model Enhances Delirium Detection in Hospitalized Patients

AI Model Enhances Delirium Detection in Hospitalized Patients

AI model enhances delirium detection in hospitals, improving patient outcomes by increasing identification rates...

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Radiomics-based differentiation of upper urinary tract urothelial and renal cell carcinoma in preoperative computed tomography datasets.

Radiomics-based differentiation of upper urinary tract urothelial and renal cell carcinoma in preoperative computed tomography datasets.

Radiomics differentiates UTUC from RCC with 88.4% sensitivity. Machine learning enhances preoperative CT diagnostics....

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Trinity Homecare Tests AI Support Application for Caregivers

Trinity Homecare Tests AI Support Application for Caregivers

Trinity Homecare trials AI app CareBrain for caregivers, enhancing support and efficiency in delivering...

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Deep learning-driven modality imputation and subregion segmentation to enhance high-grade glioma grading.

Deep learning-driven modality imputation and subregion segmentation to enhance high-grade glioma grading.

Deep learning enhances glioma grading accuracy: AUC improved from 0.718 to 0.913! 📈🧠

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AI Technology Estimates Biological Age from Facial Images to Enhance Cancer Prognosis

AI Technology Estimates Biological Age from Facial Images to Enhance Cancer Prognosis

AI technology estimates biological age from facial images, aiding cancer prognosis and treatment decisions....

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