Topic 4: Future Directions & Emerging Technologies-CT Based Biomarkers

Video Transcription

Video Summary

The speaker discusses the complexity of reading chest radiographs and introduces the concept of AI in detecting biomarkers for personalized lung cancer screening. They emphasize the importance of quantitative analysis over qualitative in identifying various biomarkers from CT images, like semantic and agnostic biomarkers, using advancements in hardware and software. Machine learning, specifically convolutional neural networks, offers predictive capabilities that surpass human perceptibility but pose challenges of being "black boxes." The speaker stresses the need for external validation, reproducibility, and open-access tools to improve transparency and workflow integration in medical practice.

Asset Subtitle

Florian Fintelmann

Keywords

AI in radiology

lung cancer screening

biomarkers detection

convolutional neural networks

medical transparency