Digital phenotyping collects health data digitally, supporting early disease diagnosis and health management. This paper systematically reviews the diversity of research methods in digital phenotyping and its clinical benefits, while also focusing on its…
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Background: Background: Rehabilitation is considered a fundamental component of cancer treatment, especially for patients undergoing cancer surgery. In contrast to conventional rehabilitation education, digital rehabilitation has the potential to improve patients’ access to post-operative…
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Background: Maintaining accurate medication records in clinical trials is essential to ensure data validity. Traditional methods such as direct observation, self-reporting, and pill counts have shown limitations that make them inaccurate or impractical. Video-based…
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The complexity of cancer care has significantly increased over the years. What were once considered single diseases are now divided into numerous subtypes, each requiring distinct treatment plans based on evolving clinical guidelines.THE CHALLENGE
This…
What You Should Know:
– Flatiron Health, a healthtech company focused on transforming clinical research through technology that integrates research into everyday care, has announced a strategic partnership with Massive Bio, a global leader in…
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We developed and validated models to predict 1- and 2-week risk of non-elective hospitalization (NEH) and sepsis hospitalization following outpatient clinic, emergency department treat and release (EDTR), or hospitalization encounters. We employed data from…
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Sepsis real-time prediction models (SRPMs) provide timely alerts and may improve patient outcomes but face limited clinical adoption due to inconsistent validation methods and potential biases. Comprehensive evaluation, including external full-window validation with model-…
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Asan Medical Center has developed a voice-based clinical documentation system powered by a large language model.HOW IT WORKS
The system automatically records and analyses conversations – including identifying symptoms and classifying diseases – between and…
Large Language Models (LLMs) hold promise for medical applications but often lack domain-specific expertise. Retrieval Augmented Generation (RAG) enables customization by integrating specialized knowledge. This study assessed the accuracy, consistency, and safety of LLM-RAG…
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Over the past couple years, tech experts and hospital leaders alike have been signing the praises of AI scribes. These tools — which ambiently listen to patient-provider interactions and provide a transcript capturing the…
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