A brief overview of the main machine learning techniques and published applications that have been used to create sepsis diagnostic tools and identify biomarkers
Researchers may be able to predict cardiovascular disease in patients by using machine learning to examine the genes in their DNA
Three ways in which generative AI has the potential to transform medical science
AI is underused in the primary care setting and solutions to common problems can be found in the smart use of AI tools
The ways that an “AI-enabled” clinic could improve the clinic experience for both the clinician and the patient
Researchers at LMU and Charité hospital in Berlin have developed a method that can reliably classify difficult-to-diagnose nasal cavity tumors
The ways that AI can help with two of the most demanding tasks in the revenue cycle management process
Machine learning is capable of decreasing the mental effort required to process immense amounts of biomedical data, yet its ability to do so is rarely evaluated
Understanding bias and variance is critical for understanding the behavior of prediction models