AI

4 articles in this category

Machine Learning Transforms Sepsis Prediction and Early Detection

Words by Yuriy Poteshkin, MD, phD

Artificial intelligence and machine learning emerged as powerful tools for early sepsis detection and risk stratification, with multiple 2025 studies demonstrating superior performance compared to...

Dec 31, 2025Read more

trends 2025sepsismachine learning

Large Language Models Transform Clinical Decision Support and Diagnostic Workflows

Words by Yuriy Poteshkin, MD, phD

Large language models (LLMs), particularly GPT-4, ChatGPT, and emerging competitors, demonstrated clinically meaningful diagnostic accuracy across diverse medical specialties in 2025, marking a...

Dec 31, 2025Read more

large language modelsChatGPTGPT-4

Artificial Intelligence and Machine Learning Advance Clinical Prediction Across Multiple Domains

Words by Yuriy Poteshkin, MD, phD

Machine learning-derived clinical prediction models demonstrated superior performance compared to traditional statistical approaches across diverse applications, including surgical complication...

Dec 29, 2025Read more

artificial intelligencemachine learningclinical prediction models

Composite “risk signals” + ML are being packaged into more deployable prediction tools (diabetes + cardiometabolic outcomes)

Words by Yuriy Poteshkin, MD, phD

Across this week’s diabetes/obesity literature, the AI/ML angle is less about “fancier models” and more about engineering better inputs (composite indices, multimodal biomarker sets) and then...

Dec 28, 2025Read more

type 2 diabetesdiabetic kidney diseaserisk prediction