Artificial intelligence is finally at a point where it’s going to be able to have an impact on certain industries.
Healthcare is definitely one of those areas where AI will help both patients and providers. Here are 12 ways that AI is destined to play a role in healthcare:
1. Smart devices will be assisted by AI to identify possible complications.
2. New radiology tools – Tissue samples and biopsies may not be needed in certain cases as AI will be sophisticated enough to supply the information that’s needed.
3. AI will reduce the requirement of having to keep electronic health records.
4. Increased access to care in developing regions – AI imaging technology could be deployed to developing regions via an app. When used by the providers who are available in the area, it will reduce the requirement for a trained radiologist to be on-site.
5. Data from electronic health records and AI will able to identify certain infection patterns.
6. Brain computer interfaces will unify machines and the mind – There will be direct interfaces, which will eliminate the need for monitors, mice and keyboards.
7. Digital pathology and AI will create analytics that are more precise for pathology images.
8. Advancement in the area of cancer treatment and immunotherapy – AI may be able to help a machine learning algorithm analyze highly complex data that will help a person’s body use their own immune system to attack cancer.
9. Electronic health records will get better at becoming a risk predictor that has reliability.
10. Health will be monitored via personal devices and wearables – AI will assist specific software in extracting data from an individual. However, patients will need to be comfortable with a system that will continuously monitor their body and share data. They will want to know who the data is being shared with and how private it is being kept
11. Smartphone image technology will work in conjunction with AI and act as a diagnostic tool that will help detect diseases.
12. AI will provide predictive analytics that will help providers diagnose problems before they have a chance to turn into a larger problem – Machine learning will help support doctors when they are making decisions about continuing care for patients who are critically ill.