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Machine learning for beginners

Machine learning is playing an increasingly essential role in the field of medical imaging. It includes problems as diverse as computer-assisted diagnosis, lesion detection, segmentation of anatomical regions of interest, brain mapping, image-guided therapy, image annotation, and database retrieval.
According to Peter Eggleston, global marketing director for GE Healthcare, “AI is making radiology professionals more productive, boosting quantity, and enhancing the precision of their work.”

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Artificial Intelligence is helping lung cancer detection 

Mankind is facing a critical health problem: in the coming decades, cancer will become the world’s most important disease. 2023 is expected to be the year in which cancer will overcome all cardiovascular diseases, becoming the number one killer, with a tendency to double the number of cases and deaths in 2030.

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How Artificial Intelligence improves Healthcare 

Information has showed to be an essential factor in enhancing the results of illness. Machine learning, or the analysis of huge datasets, its interpretation, and sophisticated computer algorithms, is now becoming a cornerstone for gaining ground and progress in the medical industry. Data is the golden ticket to democratizing and personalizing treatment through digital health.

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Machines can see things we cannot see

From the beginning of time, medicine was based on evidence. Even if societies have changed their approach towards illness and disease from ancient times until the present, one thing remains valid: the ability to see the the pathological process that underlies the condition is an asset for treating it.  At first, doctors could only use […]

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