7 Ways AI Will Transform Healthcare

Artificial intelligence is not a term that is used only in science fiction movies anymore. It has penetrated in our day-to-day life — you may use it without even noticing it. For example, when you search for something in Google and it gives you recommendations to choose from — you see AI in action.

AI has the potential to transform many industries and slowly but surely penetrates into all of them — including business, manufacturing, education, and many more.

Healthcare sector is one that is increasingly adopting AI solutions to improve patient care and make administrative processes more efficient. Artificial intelligence and machine learning can solve many tasks the current medicine face — make smarter decisions, provide proper treatment, free up time for hospital staff, ensure more precise administrative processes. More and more medical organizations implement artificial intelligence what is helpful both for doctors and patients.

Here are 7 ways AI will revolutionize healthcare:

1. Managing medical data

Not only AI allows to collect, store, edit, and trace medical records and past history, but also these technologies can capture clinical notes with natural language processing. They recognize voice and text so hospital staff can just dictate instead of spending time bothering with a keyboard.

2. Automating repetitive tasks

Doctors and nurses can’t fully focus on patient care because their daily work also includes a lot of routine jobs that can be outsourced to AI. Artificial intelligence technologies can perform the examination of medical images, analyzing laboratory tests, and many more, while hospital staff would only have to work on out-of-the-ordinary cases.

3. Pathology images

Pathology report’s accuracy is crucial to avoid misdiagnosis. AI sees pathology images at the pixel level and can indicate illnesses at early stages. For example, there is a machine-learning algorithm that analyzes 3D scans 1000 times faster than it was possible before. The efficiency provided by AI technologies helps human specialists to perform more value-added tasks and focus on patient care.

4. Digital diagnosis

AI is a self-learning system — it uses historical data from thousands of similar cases to compare it with the patient’s condition and make a diagnosis. Artificial intelligence systems can analyze much more information than humans and in much less time, providing a high level of accuracy and efficiency.

5. Treatment plans

Not only AI can make a diagnosis, but also these technologies are able to provide personalized treatment plans. It analyzes patient’s problems, looks into medical records and lab tests, identifies potential threats, and suggests the right solution. It ensures a patient-centred approach and improves the level of treatment quality.

6. Drug discovery

Nowadays creating new drugs cost billions and take years but the situation may completely change with the implementation of AI. It can be trained to analyze the results of previous attempts and guide the process of finding new medicines in the right direction. AI solutions can reduce costs and time spent on drug discovery and make it more effective.

7. Robotic surgery

It’s unlikely that robots will substitute surgeons in any near future, but using it as an assistant increases the precision and safety of operations and helps to plan the intervention in detail. And it’s not some futuristic concept — for example, da Vinci robotic system is widely used to perform minimally invasive surgery for quite a long time already.

Summing up

AI provides a more personalized and efficient approach to healthcare and treatment. Integration of AI into modern practice won’t leave doctors without work — it will provide assistance and bring more precision to the treatment process. The best results are achieved by the cooperation of artificial intelligence and human doctors. With such an approach the healthcare of the future will focus on prevention instead of treatment.

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Full-cycle development company with expertise in the product design, custom software development, QA assurance, and post-release support.

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