The Liver Meeting 2021-Part II - Basics of Navigating Artificial Intelligence in Liver Research

Part II - Basics of Navigating Artificial Intelligence in Liver Research

Video Transcription

Video Summary

Radiomics involves using AI to analyze medical images like CT, MRI, and PET scans, extracting detailed data for improved disease diagnosis and management. It bridges imaging with personalized medicine, enhancing decision-making through machine learning. Collaborative efforts and large data sharing validate radiomics models for accurate predictions in conditions like liver disease and diabetic retinopathy. AI applied to histology helps improve diagnostic precision and reduce discrepancies among observers. The future of AI in medical imaging is transformative, promising enhanced precision and efficiency in patient care by leveraging genetic, radiological, and clinical data. The video transcript highlights the significance of AI in healthcare, emphasizing its potential to optimize diagnostic and treatment strategies, improve pathology practices, and shape clinical guidelines based on current research. It underscores the importance of understanding both the capabilities and limitations of AI in healthcare for effective integration into medical practice.

Keywords

Radiomics

AI analysis

Medical images

CT scans

MRI scans

PET scans

Disease diagnosis

Machine learning

Personalized medicine

Histology

Diagnostic precision

Clinical guidelines