Once conceived as a futuristic threat to humanity, artificial intelligence is now part of everyday life. In healthcare, Artificial Intelligence is changing the game with its decision support, image analysis, and patient classification applications. Today, AI helps clinicians make more thoughtful decisions at the point of care, improving the ease and accuracy of viewing patient scans and reducing physician burnout.
With the continuous integration of AI into healthcare, caring for patients has become more intelligent and easier.
According to experts, diagnostic imaging is one area of medicine in which artificial intelligence and big data are advancing the most.
According to David B. Agus, MD, a professor of medicine, AI is fundamentally changing medicine.
Rather than robotics, AI in health care mainly applies to doctors and hospitals obtaining and classifying vast clinical data collections of potentially life-saving information. With new computing power, doctors can now better assess risk, make a correct diagnosis. Besides, AI has enormous potential in the optimization of medical treatment.
AI in Cardiology
Currently, patients with mild or moderate aortic stenosis are recommended to perform an echocardiogram every year.
AI will not replace medical professionals. However, it is an enormous help that provides excellent speed in managing the doctor’s information.
Experts believe that the challenge is to manage change and convey to healthcare professionals that AI is a tool invented to make their work more effective.
Some examples of tech innovations in health care
Robotic reflections
In 2017, a study at the University of Bristol found that children with autism have difficulty recognizing facial expressions. The same year, Dell Technologies launched Milo, a visually expressive robot. It teaches autistic kids ages 5 to 17 to identify signs of emotion. Now Milo is used in educational facilities in 27 US states.
Connecting ALS patients
a brain-computer interface, BCI, uses AI technology. It is eye-tracking glasses that enable people who have lost the ability to speak to communicate. They can type with their eyes onto a monitor. Through computerized decoding, their thoughts are vocalized. They can also use email and read books.
Detecting AFib
Stanford University research shows that AI software can more precisely identify arrhythmias, which can make heart attacks or strokes more likely.
Magnetic resonance imaging and computerized tomography scan provide comprehensive, noninvasive inner-body views. Artificial Intelligence may soon replace the need for additional tissue samples.
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