Artificial intelligence is touching every industry, including healthcare. It allows the prediction of health trajectories, automation of administrative hospital tasks, and recommendation of treatments, to name a few.
This technology has improved healthcare in countless ways, whether by discovering links between genetic codes or surgery-assisting robots.
AIs will impact the health care sector in the following ways:
Developing the next generation of radiology tools
CT scans, MRIs, and X-rays offer minimally invasive means of looking into human anatomy. However, there are many challenges with these imaging options, primarily since they rely on tissue samples gotten from biopsies.
But again, technology promises to revolutionize this sector by providing equipment that dispenses with the need for physical tissue samples.
It aims to simplify diagnostic testing and make the results more accurate. This is a significant innovation in the health line because it allows healthcare providers to study the behavior of tumors as a whole.
It’ll also be easier to observe and predict the aggressiveness of cancer cells. And, of course, a more accurate diagnosis means better and more targeted treatment.
Increasing the access of people in rural and underdeveloped areas
Artificial intelligence also enables science to touch people’s lives in underdeveloped or rural areas. It’s no secret that these regions are grossly understaffed.
Moreover, AI can take over some diagnostic duties otherwise assigned to human resources. For instance, this technology can analyze chest region results for signs of tuberculosis or other lung diseases. And the best part is that this technology does it with better accuracy.
Reducing the stress of electronic record keeping
Keeping records of tons of patients is no joke, especially when facilities are understaffed. And although electronic health record-keeping has been a signifier help to the healthcare industry, it has not been without its challenges.
But thanks to dictation and voice recognition, clinical documentation is more manageable.
Furthermore, developers of the EHR software are pushing for creating more intuitive interfaces to reduce the consumption of the patient’s time. It also helps that AI can develop the EHR software into a risk predictor.
Controlling the risk of antibiotic resistance
The increase in antibiotic resistance rate is a growing concern globally. And multi-drug resistance is also a developing threat that kills thousands of people annually.
However, healthcare providers can use artificial intelligence to identify patterns of infections to control them better. These tools and machine learning can identify a patient’s risks of reaction before medications are even prescribed.
Better results for pathology images
Pathology results are essential in the healthcare industry, responsible for about 70 to 75 percent of the EHR data. As such, an accurate analysis method must be developed.
Additionally, artificial intelligence makes digital pathology more manageable by screening through tons of data and identifying useful images. This improves efficiency and reduces the workload of healthcare providers.
Intelligent machines and medical devices
Intelligent devices are revolutionizing the world today, and the healthcare sector isn’t spared. Artificial intelligence in the health line can be used to detect deterioration and sense when complications are about to happen.
