A hub for articles, newsletters, press releases, and social updates in medical AI and healthcare innovation.
Editorial guidelines: We maintain a professional tone, prioritize evidence-based content, and highlight clinical relevance. We avoid sensational claims and focus on practical applications.
This study presents a novel deep learning approach for automated detection of diabetic retinopathy using fundus images, achieving 94.2% accuracy on a dataset of 10,000 images. The research demonstrates clinical relevance through validation with practicing ophthalmologists.
We explore the application of transformer-based models for extracting structured information from unstructured clinical notes, improving documentation efficiency by 40% while maintaining accuracy standards required for clinical use.
This paper demonstrates how federated learning enables collaborative AI model training across multiple hospitals while maintaining patient data privacy and HIPAA compliance. Evidence from a multi-site study is presented.
We are pleased to announce our new Healthcare AI Fellowship program, designed to provide medical professionals with comprehensive training in AI applications for clinical practice. The program emphasizes evidence-based approaches and clinical relevance.
An overview of the innovative diagnostic solutions developed during Docathon 2025, with focus on their potential clinical applications and evidence-based validation approaches.
This month's newsletter covers the latest developments in healthcare AI, upcoming events, and highlights from our community. Features evidence-based research summaries and clinical relevance discussions.
A curated selection of recent research papers in medical AI, with emphasis on clinical validation and practical applications for healthcare professionals.
Registration is now open for our upcoming workshop series focusing on practical AI applications in clinical settings. Sessions will cover evidence-based approaches and real-world case studies.
We are accepting submissions for our quarterly research journal. We prioritize evidence-based research with clear clinical relevance and practical applications.
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