Will AI Robo-Doctors Become the Future of Medical Care?

The medical community’s reaction to AI and robotics was swift and negative. Robotic surgery was long a pipe dream, but now, researchers are investigating ways to make robot-assisted surgery safer, more efficient, and less invasive. In the not-too-distant future, automated surgery may replace many routine procedures.

What Is AI Robot?

Artificial intelligence (AI) is a broad term used to describe how computers interact with the world. It is debatable what it means for the future of artificial intelligence (AI). Will AI replace humans as doctors? Will it be used to improve health care through data analytics? Will AI replace doctors?

AI is already helping physicians diagnose patients; now, some AI doctors are making their way into hospitals. These AI doctors are known as robot doctors or intelligent assistants, and they analyze patient data from tests and clinical visits and make recommendations about treatment options. Robo-doctors can also help physicians make diagnoses and suggest treatment plans. Some AI doctors can diagnose illnesses and prescribe medications, but they may not take the place of physicians just yet.

Robo-doctors, or AI doctors, have made big waves in recent years, with promises that they’ll not only be cheaper and more efficient but it will also allow patients to get more personalized care. And with medicine becoming ever-more specialized and robotic technology getting smarter each day, the idea of a robotic doctor sounds more and more like a reality.

Artificial intelligence (AI) and robotics have already been used for some time to improve our lives, from automating factory floors to building drones to cleaning up space junk. Now, we’re seeing these advanced robotics systems expand into fields beyond the factory floor and even more personal applications.

Another significant issue is the messy documentation of assumptions as well as care decisions of clinicians like structured data. Clinicians with extensive experience create intuition allowing them to classify a sick patient even if the numbers fed into computer programs show that they look identical to another less ill patient. As a result, some patients are treated differently than others for reasons that are difficult to deduce from electronic health record data. Data do not adequately represent this clinical judgment.

Many believe that artificial intelligence will one day replace live therapists and doctors, but these concerns aren’t new. The first inklings of AI’s potential to derail human medical professionals began to take shape when IBM rolled out its “Deep Blue” chess-playing computer in 1997. Since then, AI software has quickly expanded well beyond chess-playing, and in recent years, we’ve seen it used for everything from diagnosing medical conditions to conducting surgeries.

Before entrusting our care to AI systems and “doctor robots,” we must first commit to identifying and correcting bias in datasets. Furthermore, AI systems must be assessed not only for the accuracy of their recommendations but also for their ability to mitigate or perpetuate differences in care as well as outcomes. One approach might be to create national test datasets with and without known biases to see how well models are tuned to avoid unethical care and illogical clinical recommendations. We could take it a step further, use peer review to evaluate findings, and make recommendations for improving AI systems. This is similar to the highly effective method used by the National Institutes of Health to evaluate grant applications.

Artificial intelligence (AI) and robots are both widely discussed, but what does it look like when AI is incorporated into a medical setting? AI is already being applied to medical uses around the world—and now, it’s being used in hospitals as a patient assistant. AI is used to assist doctors with interpreting medical scans and procedures, as well as analyzing patients’ medical histories. Even better, these AI systems can analyze hundreds of medical scans at a time, giving doctors the information needed to provide a personalized diagnosis and treatment plan for each patient. AI, such as IBM Watson, Apple’s Siri, and the Google app, can already do many things, but these AI assistants may help doctors provide even better care in the near future.

Developing AI-based software systems that have the ability to generalize individual experiences into algorithms is a promising direction for healthcare. Artificial intelligence is already being used to diagnose patients, analyze medical images, and prescribe medication. These industries can make progress by collaborating with AI researchers.

Will AI Robo-Doctors Become the Future of Medical Care?
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