When someone is sick, the original notion is to see a doctor. People are accustomed to seeking professional, human help regarding healthcare. The medical field is teeming with nurses, doctors, technicians, and administrators — all heftily paid for their skills and experience.
However, things are starting to change in the healthcare industry. Current technology has devised a system called “deep learning,” wherein machines can study repetitive patterns and turn them into algorithms. These algorithms, read by robots, are correctly applied when the need arises. With this advancement, some benefits may come along:
• Less human error — A recent study suggested that medical mistakes are the third leading cause of death in the US alone. Humans make mistakes, and health professionals are not spared from that fact. When decision-making is flawed, or when physical or mental energy is not enough to cater to several patients at once, some form of neglect can appear. Artificial intelligence can take a more dominant scene in healthcare and address this issue.
• More affordable costs — Humans get jobs to get paid. That is how the world works. However, robots make no such demands. They can do work efficiently, without the clamor for compensation. That means that healthcare costs can also go down because hospitals and clinics do not need to hire more professionals that need to be paid to do their jobs.
• Reliable service — How many times have you been to a hospital’s emergency room in the wee hours of the night, but you weren’t provided service right away? Artificial intelligence can perform without regard for time, or availability. They can operate more without putting too many considerations at hand, which means the healthcare industry can provide a more reliable service for patients.
With this, how is artificial intelligence currently influencing the medical industry? Here are three compelling examples.
1. Anomaly Detection — Through deep learning, artificial intelligence machines can discover patterns of how to detect tuberculosis in chest radiographs of patients. Since most of these images follow a predictable pattern, the AI devices can recognize which patients are confirmed to have the disease. The accuracy rate is almost perfect, a staggering 96%, which can be comparable to a highly skilled radiographer. Furthermore, there are also advancements regarding detecting cancer cells in tissue through machine learning.
2. Administrative Tasks — A lot of medical documentation needs to be highly accurate to prevent errors in diagnosis and treatments. The present technology in artificial intelligence has helped professionals secure a network database where professionals can store information about a patient and coordinate them with other healthcare workers within the team. Authorized members of the group can open the databases and read findings in lab tests and other related check-ups. That has profoundly improved the coordination of a medical team and the success of treating their patients.
3. Artificial Intelligence In Medical Research — Another great possibility of applying AI in medicine is being able to use them for further research. Since artificial intelligence is highly pattern-based, there may be some correlations that can be discovered by these machines. For example, health professionals can harness the power of AI systems in detecting patterns of heart diseases and other undetected risk factors. They can also make use of this same technology to understand factors that lead to cancer. As researchers begin to discover the power of AI diagnostics and treatment, they are also able to utilize it in the field of research.
The future of medicine is yet to be discovered. With the fast-paced advancements in technology, a lot of people can look forward to the benefits that artificial intelligence can bring in the healthcare industry as well as other fields of expertise.