Multiple industries are reaping the fruits of artificial intelligence, the same is happening in the medical field. Nowadays, diseases are fatal, but curable, owing to the enhancement of AI technology. Whether it is a chronic ailment in the shape of Cancer or the illnesses of the heart, this technology is equally effective in diagnosis, care process, treatment, and in its ultimate results after the cure. To cut the long story short, the aforementioned technology has revolutionized the healthcare industry in several ways. Hence, all these can be discussed as below.
Artificial intelligence can diagnose early the major diseases
Major ailments like cancer, heart dysfunctioning, and neurological disorders have the highest tendency to become the cause of death. However, the detection of these major illnesses at the early stages can be helpful in saving a life. In this context, AI can help to detect them early. For instance, patients with an acute danger of stroke were recognized using AI calculations dependent on their announced indications and hereditary attributes; this level was development-based, with each abnormal actual development in the patient being recorded and producing a caution. Further, detection of cancer at the early stages can also be possible with the aid of artificial intelligence. For example, lung cancer, which is the deadliest disease and almost 75% die within five years of its detection. Etemadi, a researcher of University’s Feinberg School of Medicine in Chicago, says, “We just discovered this guy’s lung cancer a year or two before we would have otherwise.” So, it means that the algorithms can detect too early than the CT scan and other such tests.
AI and machine learning can sort huge amounts of medical data
Analysis of medical data, especially when it is vast enough, is a laborious task. However, big thanks to AI and machine learning, as both have facilitated the medical field. There can be two types of data, structured and unstructured. We can deal with structured data in three ways and that is modern deep learning, machine learning techniques, and the neural network system. NLP ( natural learning processing) is applicable to unstructured data. Analytical algorithms of machine learning give the analysis of a patient’s symptoms, examination report, disease stage, metrics data of the ailment, gene expression, and a variety of other information which can help the doctors and medical staff to cure someone. According to research, Neural Networking was used to choose 6,567 genes and coordinate them with surface data from the patients’ mammograms in a chest cancer growth finding technique.
Moving forward, supervised learning, the kind of machine learning is also used in the medical field to access the characteristics of any patient’s illness, which provides valuable results. By using these techniques, doctors can draw better predictions for their patients. In short, artificial intelligence and machine learning can sort many data effectively with the most reliable results in the context of the medical industry.
Neurological disorders are curable now
Many neurological disorders can snatch the ability to move, and even the patient may not speak. Luckily, now, AI technology, by the conjunction of computers, has enabled these types of patients to speak and move. In this context, Leigh Hochberg, the director of the Center for Neurotechnology and Neuro recovery at MGH, says, “If I’m in the neurology ICU on a Monday, and I see someone who has suddenly lost the ability to move or to speak, we want to restore that ability to communicate by Tuesday,”. This statement speaks volumes about the importance of AI in medicine.
Using artificial intelligence instead of antibiotics
The overuse of antibiotics is harmful as these drugs would not respond properly to disease after a certain time period. In this context, Erica Shoney, the associate chief of infection control, says, “AI tools can live up to the expectation for infection control and antibiotic resistance,” So, it is also a prominent positive impact in the medical industry which AI has enabled.
Sources
https://healthitanalytics.com/news/top-12-ways-artificial-intelligence-will-impact-healthcare