Artificial intelligence technology is rapidly evolving and getting increasingly sophisticated. Today, AI is used in most industries for various purposes. In healthcare, the potential of AI is huge. AI in healthcare offers multiple benefits by automating tasks and analyzing huge amounts of data to make healthcare delivery faster and more affordable.
Innovation in Healthcare with AI
Here are some ways AI helps the healthcare industry to transform and innovate.
1. Staying Well
AI can be incredibly helpful for people who are trying to stay healthy. AI with the Internet of Medical Things is used in apps that promote a healthy lifestyle and encourage people to stay fit. It gives users access to track their health conditions and work towards a better lifestyle. It also helps healthcare professionals to understand the everyday patterns of patients to offer better guidance and support.
2. Diagnosis and Early Detection
AI with machine learning can help quickly analyze huge amounts of health data for better and faster diagnosis. AI is already used to detect diseases such as cancer in the early stages. AI enables reviewing and translation of mammograms faster and accurately and reduces the need for biopsies. The use of AI in medical devices can also help with the early detection of heart diseases and respiratory conditions.
3. Better Decision Making
Big health data can be easily and effectively analyzed with AI to improve the decision-making process. A quick analysis of huge data can help make timely decisions. Pattern recognition by AI can also help medical professionals identify if the patient is at risk of developing a condition due to certain factors and make better decisions for treatment and support.
Robots have been used for treatment for a few years now. From simple scanning robots to complex surgical robots, all are powered by AI to maintain accuracy. Apart from scanning the records and identifying patterns for diagnosing and decision-making, AI can also be used for the treatment of patients. It enables medical professionals to take a holistic approach to disease management, make better care plans and support patients to manage long-term treatment plans.
5. Research and Training
Conducting research on a drug is a long process that requires a vast amount of resources, time and money. It takes an average of a decade to research a drug and pass it safely to patients and only a very small number of drugs get cleared to make it to the patients. AI can help streamline drug discovery and repurposing processes to cut the time, resources and effort spent on research.
Artificial intelligence can also be a great help when it comes to training medical professionals. It allows the trainees to go through realistic simulations and practice responses in different scenarios. An AI computer can produce various challenging scenarios and the trainees can learn by practicing. The difficulty of these challenges can be easily adjusted to meet the learning needs. AI also enables training to be done from anywhere. Professionals can practice on the go with AI on their smartphones and mobile devices.