Untapped Potential of Artificial Intelligence in Healthcare



With the advent of technology, a lot has been said about artificial intelligence. People can see wide applications of artificial intelligence in different industries like finance, education, transportation, security, and, to an extent, even the healthcare sector. The use of artificial intelligence in the healthcare sector has become more prevalent. It is used in diagnostics, research, and also in the sphere of new drug development. It is used in the image recognition of retinal scans just to detect the early signs of retinopathy and disease progression in diabetic and hypertensive patients.

Sometimes AI as an aid is also used to recognize abnormalities in ECG tests, ultrasounds, CT scans, and MRI scans. In the field of pharmaceutical industries, AI is used to design new medicines for cancer treatment and the invention of other amazing drugs to cure various kinds of difficult heart diseases. When it comes to the healthcare sector, the application of AI is restricted to the pathology and radiology departments.

It is believed by some that a wider application of artificial intelligence is yet to happen in the healthcare industry, especially in the OPD sector. To take our discussion to another level, we have to understand the future of artificial intelligence in the healthcare industry.

The Future of AI in the Healthcare Sector:

Unlocking the full potential of an AI depends on the availability, quality, and completeness of the data that is used to train and design a particular AI algorithm. This requires thorough collections of structured healthcare data through state-mandated wide adoption of electronic medical records. In the near future, it is believed that artificial intelligence will revolutionize medical equipment and technologies but will be capable of collecting data from a human being's sweat, breath, and heartbeat. If any abnormality is triggered by a particular operation, then the doctor will be available to take care of the entire scenario.

In a more complex situation, a doctor may tell a patient to come and visit them in their chambers so that, with the aid of AI technology, they are able to collect sufficient data before the patient is seen. Then, as an after-treatment strategy, the doctor would suggest, with the aid of AI, some important drugs or medicines that could heal them.

AI would not only cure patient diseases but also help them get well.

 

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