Recent technological advancements like AlphaFold 2 are destined to create significant changes in healthcare. The use of AI in healthcare is constantly increasing in research as well as in medical practices. In this article, we will look at some examples of artificial intelligence in healthcare. We will also discuss how artificial intelligence is used in hospitals and how we are benefited from AI in healthcare.
What are the examples of Artificial Intelligence in Healthcare?
The term AI in healthcare is used to describe the use of artificial intelligence by researchers and medical practitioners to find solutions to existing problems in healthcare and to provide better healthcare services to patients. Following are some examples of the use of artificial intelligence in healthcare.
Expert Systems
Medical expert systems are computer programs that can emulate the diagnostic decision-making ability of healthcare professionals. These expert systems are built or rules defined by expert healthcare professionals. By mimicking clinical reasoning, these artificial intelligence devices can provide a diagnostic suggestion by using rules and facts defined by the experts. This makes expert systems a great example of AI in healthcare.
Genome Sequencing
Artificial intelligence has played a significant role in the war against COVID-19. Deep Residual Networks like ResNets are being used to predict protein structures of COVID-19-affected cells. DeepTracker, a customized deep convolutional network, is being used to derive the protein structure of COVID-19. Artificial intelligence Technologies like AlphaFold 2 can derive and detect 3-D structures of amino acids; this can be used to understand the molecular structure of disease-causing cells and proteins. With an increased understanding of diseases, it will also be easier to identify solutions for possible diseases.
Electronic Health Records
The digitalization of healthcare services has led to the creation of enormous data. Electronic health records contain the health and diagnostic information of each person. This data can be used to analyze the trends for various health problems using AI in healthcare. By analyzing electronic health records, researchers have successfully built risk scoring and stratification tools by employing deep learning methods to identify connections between different datasets.
Clinical Decision Making
Leveraging AI for clinical decision-making is one of the most promising areas in healthcare. By using predictive analytics and the diagnostics data of the users, doctors can easily predict the possible medical conditions of patients. Using Radio Imaging, X-rays, and MRIs with artificial intelligence devices can also be used to reduce errors in clinical decision-making.
Wearables and Personal Devices
Wearable devices like Apple watches or Fitbit trackers use sensors to track the activities of users. The data collected by these devices are used to monitor the health of the user. As the data is continuously being generated, analyzing this data can offer a great insight into individual and population health. Certainly, AI will play a significant role in making this data usable for healthcare professionals.
What are the benefits of AI in healthcare?
Artificial intelligence has provided significant assistance to healthcare professionals in clinical decision-making, diagnostics, surgeries, and much more. Some of the benefits of AI in healthcare are as follows.
Early Diagnosis of Diseases
Gadgets like the Apple watch continuously collect critical health information like blood pressure, heart rate, and pulse rate of its users. In many incidents, These devices were able to notify their users about deteriorating health conditions before the users could recognize them. The huge amount of data collected from the users can also be used to predict health conditions and prepare for possible threats.
Assistance in Surgery
Robots are one of the most advanced examples of AI in healthcare. By using machine learning algorithms, scientists have already developed robots that can perform the tiniest movements with 100% accuracy. This technological advancement has helped doctors in performing complex surgeries with reduced risks of side effects, blood loss, or pain. Nowadays, Antibacterial nano-robots are being used to eliminate infections in patient’s blood before they are sent to the operating theatre.
Increased decision-making Capabilities
With the advent of expert systems and AI-based analysis tools for Radio Imaging, X-rays, and MRIs, doctors can make better decisions with minimum errors; this has been possible only due to the use of AI in healthcare.
Enhanced Human Abilities
Exoskeleton robots, AI-backed prostheses, and other devices fitted with sensors have been developed to work as artificial body parts. Exoskeleton robots are being used to help paralyzed people regain their mobility, while AI-backed prosthetic devices are being developed to act as artificial limbs. These applications of AI in healthcare have helped humanity in different ways.
Conclusion
The use of AI in healthcare has constantly increased in recent years. Researchers and healthcare professionals are doing wonders by applying the knowledge of artificial intelligence, machine learning techniques, and robotics to healthcare activities. Platforms such as InsideAIML are helping people to learn these technologies so that they can perform better by using technology along with their knowledge. If you are planning to learn the basics of artificial intelligence and machine learning, You can enroll in courses available at InsideAIML.
