Artificial Intelligence in Clinical Decision-Making: Regulatory Roadmap and Reimbursement Strategies
Artificial intelligence is rapidly transforming clinical medicine, with AI-powered tools increasingly being used for ...
Unlike other industries, healthcare generates not only numerical and categorical data but also large volumes of unstructured ...
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Machine learning models can help diagnose ALS earlier from a blood sample
Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...
Patients at primary care clinics received more dementia diagnoses after implementation of a machine-learning tool designed to ...
The adoption of machine learning approaches in systematic reviews is fundamentally transforming evidence-based medicine. Traditionally, systematic reviews have involved painstaking manual screening of ...
AI is not limited to diagnostics or imaging. It also plays a transformative role in biomedical research, computational ...
Metabolite data and AI combine to redefine how we measure aging and predict health spans. Study: Metabolomic age (MileAge) predicts health and life span: A comparison of multiple machine learning ...
A new article published in the Journal of Dental Research explores the development of an integrated data-cleaning and subtype ...
From wearables for health monitoring and self-care apps, to machine learning analysis of medical images, the potential of digital technologies to revolutionise healthcare has commanded many headlines.
One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...
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