8 Ways Artificial Intelligence is Revolutionizing Healthcare

AI has proven that it’s got the capability to alter how healthcare is done. Healthcare AI can boost efficiency and level of treatment, make it easier for healthcare workers to do their jobs each day, boost patient satisfaction, and even help to bring life-saving treatment methods to market faster.

AI uses many ways in health, and new methods are being considered. Below, we’ll talk about eight ways AI is changing healthcare, helping doctors and nurses in powerful ways, and improving things for any Healthcare App Development Company.

1. AI and managing medical data

Healthcare is one of the most complex fields to work in regarding big data. The medical notes in electronic medical records need to be more organized, making them hard to read and understand. Not to mention that valuable information can get lost in the ocean of trillions of data points, affecting preventive medicine, patient diagnosis, and treatment.

Medical data management that AI helps has a considerable chance of saving lives and money in the healthcare industry. Using algorithms to crunch data can save the medical and pharmaceutical industries up to $100 billion annually.

AI is used in electronic health records to help make sense of huge amounts of data and break down the silos in storage systems. Integrating AI into medical records can improve data discovery, extraction, and treatment recommendations and make the forms easier to use. 

AI-based speech-to-text input and virtual medical assistants can make it easier for practitioners to find data and lessen the burnout from entering data into electronic health records.

2. Fast-tracking drug development

In developing nations, there need to be more trained medical professionals, like ultrasound specialists and radiologists, which also restricts the ability of individuals to get the care that might extend their lives.

AI can help compensate for the lack of clinical staff by helping screen X-rays, automatically analyzing images, and showing the radiologist where to focus their attention on the scan.

Medicines work at the level of molecules. Molecules from the outside interact with molecules from the inside to prevent or treat a disease.

AI can look at how millions and millions of molecules interact with each other. Then, it uses what it has learned to predict which medicines will most likely help treat which diseases. A lot of this background work would have to be done by hand by researchers, which would be much more expensive.

3. AI-powered radiology

In developing countries, there need to be more trained healthcare workers, like ultrasound technicians and radiologists, which makes it hard for people to get the treatment that could save their lives. AI can help compensate for the lack of clinical staff by helping screen X-rays, automatically analyzing images, and showing the radiologist where to focus their attention on the scan.

Using AI in radiology can also lead to fully automated solutions that can read and interpret scans without any help from a person. This makes interpretations possible right away. There are already businesses that are leading the way in this area. 

Their system uses unstructured medical data like x-rays, blood tests, EKGs, genomics, and a patient’s medical history to help doctors better understand their condition and needs.

4. Simplified the way doctors make decisions

As health care moves from being based on fees to being based on value, it moves from being reactive to being preventive. If doctors can predict acute and chronic diseases, it will not only save lives and make people’s lives better, but it will also save a lot of money because they won’t have to treat diseases that could have been prevented.

With the help of clinical decision support tools powered by AI and Machine Learning, doctors and nurses can take action on problems before they need to.

5. Focused treatment

Some treatment plans that work for some patients may only work for some. This happens with immunotherapy for cancer, in which the patient’s immune system fights cancer cells. 

But these cancer treatments only work for a few people, and oncologists don’t have an excellent way to tell which patients will benefit from them. Machine learning can find new ways to treat people based on their genetic makeup. 

Many people already use AI to find the best treatment for each patient. AI uses deep learning to make better target selections and find new ways to help people get the right treatment. AI-powered tools to help with cancer research and treatment. These tools analyze data from genetic sequencing to image recognition.

6. AI-assisted surgery

Robots with AI are being used more and more in surgery. Robots are helping surgeons do everything from microsurgeries on tiny blood vessels and less invasive procedures to brain or heart surgeries that are more complicated.

Using robotics to help with critical surgeries helps reduce differences between surgeons that could hurt a patient’s recovery. It also lets doctors do operations with more precision and control than humans can.

With their knowledge and experience, human doctors and robots with cameras, skilled mechanical arms, and instruments can work together to do new and different operations. Robots don’t work independently; a surgeon controls them from a computer console. Robotics-assisted surgery leads to fewer problems during surgery, less pain, and a faster recovery.

7. Improving the journey and experience of patients

AI can also help improve the overall experience of being a patient. In a field where getting to the provider may mean life or death, AI can help find access problems and smooth the patient experience.

But rude doctors, bad service at the front desk, and too much paperwork are some of the most common things that patients complain about. With the help of AI, hospital staff can make it easier for patients and doctors to talk to each other. This will significantly improve patients’ experience and make data processing much faster and easier. Chatbots are a great way to improve access to primary care and make it easier for patients to talk to doctors.

8. Proactive medical care

AI is causing a change in modern medicine, which is moving from reactive medicine to predictive medicine and proactive medicine. In traditional medicine, patients go to the doctor when they have symptoms and are given treatment based on them. AI allows for studying a patient’s medical history and pointing out high-risk markers.

After figuring out which patients are at risk, they are watched for any sudden changes in their health. AI apps also tell patients what they can do to improve their health instead of waiting until they need to see a doctor.


These are just a few amazing ways AI is changing the healthcare industry. Healthcare is one of humanity’s greatest accomplishments. It is the most selfless thing people do when they work to improve the health and well-being of other people.

Healthcare App Development Company integrating AI into diagnosing, detecting, treating, and preventing disease gives doctors and patients more power and shows the best way to use high-tech tools for good.

About the Guest Author: Prashant Pujara

MultiQoS Technologies is a well-known provider of Mobile Application Development Services in India. The company is led by CEO Prashant Pujara and specializes in delivering high-quality on-demand Marketplace App Development solutions. They offer businesses the opportunity to hire dedicated developers for cross-platform app development.

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