Artificial Intelligence AI can be simply defined as the simulation of human intelligence processes by machines and computer systems. It’s a process that involves computer learning, reasoning, and self-correction. The way AI operates is, of course, a little bit more complicated than just computer learning and its applications continue to be advanced in the technology world. Artificial intelligence is used in several industries as its application and reach grow and one of those industries is the healthcare industry.


Healthcare AI automates machine learning tasks and lowers the barrier to entry to adopting this technology in the industry. Healthcare AI advances community resources for learning and collaborating on machine learning in healthcare. It includes everything from internal information flow to weekly podcasts and articles that provide information to users. Here users can learn to interact with the healthcare AI and make the most of it. AI in healthcare. The biggest bets are on improving patient outcomes and reducing costs. Companies are applying machine learning to make better and faster diagnoses than humans. The best healthcare AI systems understand natural language and are capable of responding to questions asked of it. The system mines patient data and other available data sources to form a hypothesis, which it then presents with a confidence scoring schema. Other AI applications include chatbots, a computer program used online to answer questions and assist customers, to help schedule follow-up appointments or aiding patients through the billing process, and virtual health assistants that provide basic medical feedback. Healthcare AI provides the following benefits:

  • Free access to machine learning educational and collaboration resources.
  • Free, open-source machine learning software that democratizes machine learning by lowering barriers to entry.
  • Makes deployment easy and ensures production quality.


Other Applications of AI

Besides the application of AI in the healthcare industry, Artificial Intelligence is also applied in several industries and its usefulness in these industries continues to be more and more advances.

AI in business: In the business industry, artificial intelligence and machine learning algorithms are being integrated into analytics and customer relationship management CRM platforms to uncover information on how to better serve customers. Robotic process automation is being applied to highly repetitive tasks normally performed by humans. Chatbots have also been incorporated into websites to provide immediate service to customers. Automation of job positions has also become a talking point among academics and IT consultancies such as Gartner and Forrester.

AI in education: AI makes processes simpler like for example, it can automate grading, giving educators more time. AI can assess students and adapt to their needs, helping them work at their own pace. AI tutors can provide additional support to students, ensuring they stay on track. AI could change where and how students learn, perhaps even replacing some teachers in the future. This is where some of the disadvantages of those who push for the advancement of AI come in. Even if machines and computers can do the work humans can, nothing can replace human interaction and human connection even more so in the educational industry where young minds are being molded.

AI in finance: AI is being applied to personal finance applications. You probably have used it without realizing. Platforms such as Mint or Turbo Tax, is upending financial institutions. Applications such as these could collect personal data and provide financial advice. Today, software performs much of the trading on Wall Street.

AI in law: The discovery process, sifting through of documents, in law is often overwhelming for humans. Automating this process is a better use of time and a more efficient process. Startups are also building question-and-answer computer assistants that can sift programmed-to-answer questions by examining the taxonomy and ontology associated with a database.

AI in manufacturing: This is an area that has been at the forefront of incorporating robots into the workflow. Industrial robots used to perform single tasks and were separated from human workers, but as the technology advanced that changed.

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