Attention all patients: Artificial intelligence will see you now Top 10 Uses of AI in Healthcare in 2022
Will doctors be replaced by robots?
Will AI become so intelligent that it will prevent disease before it strikes?
What exactly can AI do for the healthcare system that has thus far prevented modern medicine from excelling forward?
Let’s explore how artificial intelligence or AI is being used to help both patients and doctors.
AI for Accurate Diagnosis
AI in healthcare aims to improve patient outcomes by modernizing therapeutic approaches.
Every year, nearly 400,000 patients that visit the hospital are victims of poor diagnosis. There are several apps available today that go beyond WebMD and even assist doctors in prompting the correct diagnosis.
100,000 of these patients die from preventable mistakes.
Incomplete medical histories and large caseloads continue to lead to deadly human errors.
AI can predict and diagnose diseases at a faster rate than most medical professionals.
The Mount Sinai Health System uses artificial intelligence (AI) along with clinical data to analyze patients with COVID-19. The Centers for Disease Control and Prevention (CDC) used an AI bot to conduct screenings of coronavirus infections.
RoboDoc – AI Performs Surgeries
When someone you know and love is diagnosed with a disease that requires surgery – you start collecting data on the best surgeons for that particular medical specialty.
The reason surgery performed by AI may be considered superior – or at least – more predictable in its approach is the minimization of variables.
AI can do everything a surgeon can – but faster and with greater precision. Results of an operation can change based on which surgeon has the knife in their hands. The machine takes a three-dimensional approach and learns from past operations to create new and innovative methods of surgery.
Robotics were recently used in the Netherlands at the Maastricht University Center to suture blood vessels as small as .03 – .08 mm.
Being Better Doctors with AI
AI is seen as a partner rather than a competitor to physicians. It assists in making doctors better at their jobs.
Sastry Chilukuri, co-CEO of the data-driven clinical trial company Medidata and founder and president of Acorn AI says that AI would help by spreading best practices worldwide.
While major cities like Los Angeles and Mumbai see hundreds of patient surgeries every year, Chilukuri says, “if you go to interiors of the U.S. like Nebraska, the surgeon just doesn’t see that much volume.” So AI would be helping “by providing the kind of tools that allow [rural doctors] to be able to deliver the same top-notch care to all of their populations at lot faster,” he says.
AI for the Front Desk
Administrative expenses account for 30% of healthcare costs. Some of these processes, such as pre-approving insurance, checking up on outstanding bills, and keeping records, can be automated by AI to lighten the strain on healthcare personnel and eventually save them money.
Big data sets can be analyzed by AI, which can then be used to compile patient insights and do predictive analysis. Finding patient insights quickly enables the healthcare ecosystem to identify critical patient care areas that need to be improved.
AI Makes Everything a Little Bit Better
Inside the OR and even at the front desk, AI, just like all other new tech is best when it enhances an existing experience. Patients are not necessarily looking to be inspected by robots. Doctors are always going to be required to help maneuver or monitor suggestions from AI.
There are programs developed today to help radiologists interpret X-rays faster and with greater accuracy. Radiologists who miss out on microscopic details on X-rays can amplify their practices.
Misdiagnosis can lead to wrong medication and surgeries. And lack of a diagnosis can lead to unnecessarily elongating a disease in patients.
Technology + Medicine
Medicine has advanced greatly thanks to tech in the past. AI is no different.
Once you’ve identified areas of your medical practice that need improvement, chances are that AI software development can be of use.
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