Deep Learning & Medical Imaging
Artificial
Intelligence, ML & DL is transforming the world of Healthcare & medicine.
They are helping doctors to make faster, more accurate diagnoses. They can also
predict the risk of a disease in time to prevent it. They can help researchers
understand how genetic variations lead to new disease.
Medical records such as
doctors' reports, test results and medical images etc. are a data treasure of
health information. There are number of fields in Healthcare
industries where Artificial Intelligence, Machine Learning & Deep
Leaning is being used.
- Alzheimer’s
- Arrhythmia
- Autism
- Breast Cancer
- Dental Cavities
- Diabetic Retinopathy
- Gram Stains
- Lung Cancer
- Onychomycosis
- Pneumonia
- Skin Cancer
And many more…….
IBM researchers analyzed
that medical images currently cover at least 90% of total HealthCare
information data, making it the largest data source in the Medical Science
& Healthcare industry. This becomes huge amount of data on a human scale. New
techniques therefore needed to extract and represent data from those images
more efficiently. And as Machine
Learning & Deep Learning is known, they use these present datasets to
predict future results more efficiently.
Current Deep Learning Medical
Applications in Imaging
In addition to all the
above, Medical Imaging is the one where AI, ML & DL is most widely applied.
The list below provides a sample of AI, ML & DL applications in medical
imaging. As we all know that below given list is just few of the application
& it will grow with time. However, it will give an indication of the
long-ranging AI, ML & DL impact in the medical imaging industry today.
- Tumor Detection
- Tracking Tumor Development
- Blood Flow Quantification and Visualization
- Medical Interpretation
- Diabetic Retinopathy
Future Predictions of Deep Learning
in Imaging
One of the foremost
revolutionary future applications of AI, ML & DL would be
in combatting most types of cancer. As part of this effort in the ‘war on
cancer’, Google DeepMind has partnered with UK’s National Health Service (NHS)
to assist doctors treat head and neck cancers more quickly with DL
technologies. The research is being conducted in coordination with the
University College London Hospital.
IBM’s Watson & Google
DeepMind‘s team in association with many other hospitals are already in this
game. It seems likely that as the technology develops further, many companies
and startups will join bigger players in using ML/DL to help solve different
medical imaging issues. Organizations like GE Healthcare and Siemens have
already made significant investments, and recent analysis by Blackford shows
20+ startups are also using Artificial Intelligence, Machine Learning
& Deep Learning in medical imaging solutions.
For
more details please contact:
Name:
Amelia Smith
Contact:
machinelearning2018@rediffmail.com
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