Deep Learning

Importance of deep learning in medical applications

Artificial intelligence has been really transforming the world of medicine. It has introduced tons of new processes, methods which has helped the doctors to diagnose a disease quicker, predict the future symptoms and cure it at a faster pace. Artificial intelligence has been around in this industry for a fair bit of time now, deep-learning is the new upcoming technology that has made things even more interesting.

With the help of deep-learning, researchers are now able to analyse the medical data for better treatment, it has enhanced the doctor’s capability to analyse the medical images etc.

Importance of deep learning: -

  1. Mining data for better and faster treatment: -

GPU- accelerated deep-learning technology can be used in order to study the patient’s records and symptoms over a long period of time and have a comparison with the larger population in order to have a better treatment process.

  1. Better Diagnosis: -

The diagnosis of patients medical reports and results such as X-ray’s, CT scans, MRI’s etc. are performed at a faster and a more accurate basis with the help of this technology which used to be a lengthy and time-consuming process earlier. Researchers of the imperial college of London have devoted a ton of time in their research in this sector.

  1. Personalized medicines: -

At the current pace of development, machine learning will be soon able to study the genomics (the study of the genetics of a patient leading to the disease) of the patient and recommend medicines known as the ‘precision’ medicine which is personalized for each patient for better and faster treatment and cure.

  1. Help to the blind: -

There are tons of people in the world who are at present partially or completely blind and face issues in performing normal day-to-day functions such as crossing roads, reading labels etc. Deep-learning technology such as wearable devices etc. are in development to help such issues.

  1. Robotic Surgery: -

Recently, there has been a lot of news on the possibility and testing of robots performing surgery on dummy limbs and vessels. ‘Da Vinci’ the robot is currently being programmed and developed in order to perform functions same as the surgeons.

Conclusion: -

Although these all opportunities are welcomed with open arms in this industry, their implementation has various challenges too. Some of them are listed below: -

  1. Robots as doctors- No doubt use of this technology and eased and quickened the medical processes leading to better efficiency. But it will never be able to replace the doctors. Doctors are much more than diagnosing and medicine-recommending figures. They study a whole bunch of stuff that the robots are currently incapable of studying.
  2. Security issues- There are a ton of security and information privacy guidelines laid down by the HIPAA which restricts the consumers to share the medical reports or test results with other medical institutions with the help of an application etc. rather than physically visiting the clinic. This restricts the use of this technology to quite an extent.

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