Uses of AI in Healthcare

Artificial intelligence started to affect every industry on Earth. One of the fields it has the biggest influence on is healthcare. Access and quality of healthcare is something all communities try to better, and there is much space for improvement, as current healthcare systems seem to struggle to deliver proper care to all in need. This is where AI comes in, to help the industry evolve and advance using the most modern technologies available. What are the current uses of artificial intelligence in healthcare? Let’s find out. 

Mining and Managing Healthcare Data 

Managing medical data is one of the most challenging aspects healthcare systems have to deal with. There are two major problems when it comes to it, the security of sensitive data and the sheer volume of flies that need to be analysed in order to provide the best care possible. To solve those problems researchers decided to take advantage of machine learning tools, which are a part of artificial intelligence. They make it possible to analyse data more efficiently and faster, helping to connect important data points and drive both medical research and processes forward. The research in the possibilities of machine learning and AI in managing healthcare is a priority for the industry, and you can read more the possible solutions at https://logicai.io/blog/artificial-intelligence-and-machine-learning-healthcare/. 

More Efficient Diagnostics

Around 10% of deaths are a result of misdiagnosed diseases and/or medical error. Which is why the healthcare industry decided to use artificial intelligence to improve the diagnostics process. It has been used to predict more accurately and faster the diagnosis of a patient based on medical history, which is especially helpful when there isn’t a complete set of documents to analyse. AI uses algorithms to predict what kind of diseases a patient can have, and the doctor’s job is to run tests and confirm the data created by the most advanced technology out there.

New Medicine Development

The drug development industry suffers from endless and time-consuming procedures and paperwork that needs to be applied to make a medicine legal to use, not to mention the high development and research costs. Because of artificial intelligence and breakthroughs in the technology, biopharmaceutical companies are able to work more accurately, efficiently and use AI knowledge to speed up the process of drug trials and their success rate. The industry uses robots, machine learning tools and AI to analyse the data created by researchers. 

Improving Patient Experience

Artificial intelligence is also very helpful when it comes to improving the overall patient experience. It has been reported that most patient complaints concern the amount of administrative work and documents involved when visiting a hospital or a doctor, and AI can help reduce the time a doctor spends on paperwork and leave more of it for proper care. It provides access to medical data and patient history, keeps it up to date and speeds up the administrative part of a medical appointment. 

Robot-Assisted Surgeries

It is no secret that there are too little doctors to provide the highest-quality patient care at the moment, and the predictions for the future are even worse, which is why you might find it comforting that AI enabled us to create robots that can assist during surgeries. They are not ready to replace humans in any way, but they can improve endoscopies to provide doctors with a better view during an operation. Robots are also currently used to study lung cancer and hopefully find a cure for it. 

Artificial intelligence helps to evolve and progress the whole healthcare industry. It minimizes the number of medical errors, improves success rate for operations and diagnosis, and most importantly, it saves lives.