Artificial intelligence levels increase when machine learning becomes more and more accurate.
The common question is that when artificial intelligence is being used in virtually every field, how about the medical and healthcare field?
Robotic Doctors? Artificial Intelligence In Healthcare
Like every industry and field, the healthcare system also has a large amount of data to be processed in the form of images, scans, laboratory tests, clinical records, and general health records.
The data is so huge that it would be difficult if not impossible for humans to detect and identify patterns in diagnostics.
At its basic level, artificial intelligence is teaching systems and machines to imitate the logic that humans use in making decisions. The algorithms that go into the process of making these decisions come from machine learning, that is, teaching the machines to learn.
Image-based medical fields such as mammography, oncology, and neurology have already begun to be benefited from machine learning as basic algorithms that go into the interpretation of these images are being worked out.
Artificial intelligence can be used to benefit the four major areas of health care- Hospitalisation, clinical research, drug development, and medical insurance.
The latest artificial intelligence models use neural networks much as the human brain does. Computer systems learn more from cases and practical examples rather than programming and the use of algorithms. A computer system has the advantage of processing a large amount of data within a short period of time.
The challenge, however, comes when critical Data needs to be prioritized to make a critical decision. Deep learning is required by the computer system for this activity. Deep machine learning is required for a computer system to be able to recognize a human face and also to detect a flaw in a medical scan.
As per the data from Acumen Research, the market for artificial intelligence in the medical field is expected to touch $8 billion by the year 2026.
There are several areas in the medical field where a combination of machine learning and artificial intelligence have made deep inroads and have made both treatment and patient care more focused with more cures than fatalities
Path AI has made significant progress in the field og=f cancer research and treatment. Artificial intelligence tools have been used effectively to reduce errors by pathologists in their diagnoses. The advantage is that cures can be given at just the right time where cancer does not turn fatal.
AI has turned out to be very useful in treating blood diseases. There are AI-enhanced microscopes that can detect the presence of bacteria and fungi in blood samples. This way, traces of E.Coli and staphylococcus can be detected at an early stage much faster than manual imaging.
For this purpose, the AI system was taught with 25000 samples of traces of the harmful bacteria. Thereafter they were able to identify trace presence of these bacteria and fungi in new blood samples with 95% accuracy.
Artificial intelligence is proving to be a boon in the areas of chatbots and virtual health assistants. They have been provided with standard questions and answers and are able to provide basic answers to routine health questions and these reduce the load on practitioners to a large extent.
These AI tools also deal with routine queries on billing and other tasks that become repetitive for human help attendants.
Artificial intelligence is being actively used in the biomedical field to map diseases in record time so that breakthrough vaccines and drugs can be developed in a short time. BERG is one artificial intelligence model that is being used in this field. BERG achieved breakthrough results in the treatment of Parkinson’s disease.
This disease that becomes worse with time as body stiffness and balance is adversely affected found a breakthrough with body chemical links that were not known and will help in better treatment for this disease.
Artificial intelligence is very useful in ensuring precise doses of medication which may otherwise be harmful and is actually more precise than human administration of doses.
A.I. is being used in the medical insurance business to sort through hundreds of claims. Human intervention is not necessary and the A.I. model takes care of such routine tasks.
Thus, the question is not whether artificial intelligence can be used in healthcare. Artificial intelligence is actually being used and with dramatic results.
Welcome to the new age of Artificial Intelligence in medicine.
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