Healthcare is one of the major and crucial sectors we are dealing with. Medical and healthcare consume a lot of resource and money. In many cases due to misdiagnosis, additional unnecessary tests have to be performed which causes a delay in the treatment. Artificial intelligence applications are mitigating the misdiagnosis of patients and accelerating the treatment procedures.
Artificial intelligence and machine learning have a lot of scope in the medical sector. Various artificial intelligence companies are collaborating with the medical professionals to develop the algorithms that can change the current situation.
For a better understanding of the article, let us discuss some technical terms that would be used in the article:
Artificial intelligence: Artificial intelligence is the branch of computer science that makes the machines more intelligent. Artificial intelligence machines can perform the tasks that would otherwise require human intelligence.
Machine Learning: Machine learning is the sub-branch of artificial intelligence. It deals with the training of machines by feeding them a huge amount of datasets. These machines or computer programs have the capability to learn from datasets and real-time examples. They have reasoning, decision making, and problem-solving capabilities.
Deep Learning: Deep Learning is the sub-branch of machine learning. Deep learning is based on artificial neural networks (ANN) that are based on the human neural networks. The artificial neural network provides gives weight and biasing to the data which results in giving the desired output.
Let us now look at how artificial intelligence advancements are taking place in the medical field:
Machine learning and deep learning have made computer vision to be one of the most remarkable things in the technology. There are immense applications of computer vision in the medical field. Microsoft is working on its image diagnostics tool named ‘InnerEye’ and the results are amazing. Deep learning is going to become more and more powerful and accessible. However deep learning cannot give valid explanations of how it reached a particular conclusion even if it is correct. This problem is amplified in healthcare because doctors cannot take decisions without understanding how machine arrived at that conclusion.
Medical diagnosis is a very complex process as it includes various factors regarding the patient. Like body weight, retina color, pulse rate and many more. However, the machine cannot diagnose it right now; but it is also true that machines can help in making the right decisions and various aspects that can be kept in mind while diagnosing a patient. Machine learning and deep learning can learn from past data and is able to suggest the right treatment for the patient on the basis of symptoms and reports. This can help doctors to diagnose and treat diseases like cancer in a better way as machines will provide a better insight into the disease.
One thing is abundance in the medical field and that is data. Artificial intelligence applications are helping in data visualization techniques, collecting and managing data in a better way. Various tools and mobile apps are collecting real-time data from the patients that are helping in their better treatment. Moreover, its also helps in the treatment of incurable diseases by correlating and finding patterns in data. Big data handling is impossible for humans. Machine learning and deep learning algorithms make sense out of unstructured data that would be impossible for the humans to process.
Billions of dollars are spent every year in the medicinal research. Medical experts, doctors, physicians are continuously researching on new and effective drugs for diseases. This can take several years. Take an example of Ebola virus. The antidote of this virus was made in several days with the help of artificial intelligence. It would definitely take several years for humans to make that antidote. Imagine how much damage would have done by then. AI and machine learning algorithms speed up the process of drug research.
Artificial intelligence applications are helping the medical field by improving the monitoring systems. The medical monitoring equipment attached to the patient’s body monitors the fluctuations in various health parameters like heart rate, pulse rate, body temperature etc. The data is stored in the patient's database. Artificial intelligence system is made intelligent enough to sense any abnormal fluctuations in the vitals of the patient. It then immediately informs the doctor concerned about medical condition over the mobile app. Moreover, the doctor also gets the daily reports of the patients that helps them to better understand the condition of the patient.
Artificial intelligence and robotics have made it possible for the robots to perform complex and typical surgeries. ‘Da Vinci Robot’ is a perfect example that has the capability of carrying out some basic surgeries for now. Artificial intelligence research in robotics will make the robots more dexterous and efficient. The robotic surgery involves computer vision to calculate the distance between body organs and its own extensions. Robots are more stable and controlled in carrying out surgeries than the human counterpart.
Most of the artificial intelligence applications are based on the identification of diseases and its diagnosis. AI innovations are helping in diagnosing the diseases at an early stage thereby improving the life expectancy rate of mankind. From cancer treatment to the heart, liver and eye surgeries, AI has completely changed the game of medical diagnostic system. Artificial intelligence as a service is assisting doctors and other medical practitioners in innumerable ways. This is just a tip of the iceberg. There is much more to come in the upcoming future that would completely revolutionize the medical field