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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
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LATEST SIGNALS

Research and developments, with a clear point of view.

Apollo Hospitals Establishes Digital Health Research Center

Apollo Hospitals Establishes Digital Health Research Center

Apollo Hospitals and University of Leicester launch a digital health research center in India...

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Integrating AI·IoT-OAHPs with existing elderly care systems.

Integrating AI·IoT-OAHPs with existing elderly care systems.

Integrating AI and IoT in elderly care enhances service delivery and optimizes resources. 🤖🏥...

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Recognizing drivers’ sleep onset by detecting slow eye movement using a parallel multimodal one-dimensional convolutional neural network.

Recognizing drivers’ sleep onset by detecting slow eye movement using a parallel multimodal one-dimensional convolutional neural network.

New research highlights a model detecting drivers' sleep onset through slow eye movements. 🚗💤...

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NHS England Awards £37.5 Million Contract to BJSS for NHS App Development

NHS England Awards £37.5 Million Contract to BJSS for NHS App Development

NHS England awards £37.5 million to BJSS for NHS App development. 🏥💻 Major upgrades...

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Performance analysis of a deep-learning algorithm to detect the presence of inflammation in MRI of sacroiliac joints in patients with axial spondyloarthritis.

Performance analysis of a deep-learning algorithm to detect the presence of inflammation in MRI of sacroiliac joints in patients with axial spondyloarthritis.

A deep-learning algorithm shows promise in detecting inflammation in MRI scans for axial spondyloarthritis...

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Patient Involvement Essential for Effective Digital Health Services, According to The King’s Fund

Patient Involvement Essential for Effective Digital Health Services, According to The King’s Fund

Patient involvement is crucial for effective digital health services. The King’s Fund emphasizes meaningful...

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European ILD registry algorithm for self-assessment in interstitial lung diseases (eurILDreg ASA-ILD).

European ILD registry algorithm for self-assessment in interstitial lung diseases (eurILDreg ASA-ILD).

New e-health tools enhance ILD monitoring. 📱 Early detection through spirometry and oximetry improves...

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Quantification of training-induced alterations in body composition via automated machine learning analysis of MRI images in the thigh region: A pilot study in young females.

Quantification of training-induced alterations in body composition via automated machine learning analysis of MRI images in the thigh region: A pilot study in young females.

This study highlights the role of machine learning in assessing body composition changes after...

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Improving clinical efficiency using retrieval-augmented generation in urologic oncology: A guideline-enhanced artificial intelligence approach.

Improving clinical efficiency using retrieval-augmented generation in urologic oncology: A guideline-enhanced artificial intelligence approach.

Exploring AI's role in urologic oncology efficiency. 🤖📈 Reviewed: Collin H et al.'s insightful...

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