Deep Learning & Medical Imaging

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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.
  1.       Alzheimer’s
  2.       Arrhythmia
  3.       Autism
  4.       Breast Cancer
  5.       Dental Cavities
  6.       Diabetic Retinopathy
  7.       Gram Stains
  8.       Lung Cancer
  9.       Onychomycosis
  10.     Pneumonia
  11.     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.
  1.       Tumor Detection
  2.       Tracking Tumor Development
  3.       Blood Flow Quantification and Visualization
  4.       Medical Interpretation
  5.       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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