Healthcare and Smart Artificial Intelligence (AI)
Smart Artificial Intelligence is a well-known concept today, and almost everyone around us relies on AI in some way or another. It has revolutionized the world, and the changes it has bought are very prominent. It is no surprise that healthcare is one of those fields.
But have you ever wondered how AI affects healthcare? Well, here it is. It has been widely used in many clinical situations to diagnose, treat, and predict the results. AI is also in constant competition with the best performing doctors in the world.Healthcare AI solutions are also in constant competition with the best performing doctors in the world.
Does this question ever pop up in your mind that AI could also be hazardous if it goes wrong? Or one would have to face huge problems if assumptions weren't correct? Who will take responsibility if something goes wrong? The patient? The doctor? Or the medical institution? Mudar Muhissen, Chief Technology Officer at PISIQ, points out that there would not be any simple answer for that. And their possibilities that something could go wrong, but the dangers present are heavily outweighed by the success rate. Let's take a look at the threat that comes with AI: The overall design includes creating both hardware and software. Data encompasses the mass of issues that can manifest when a machine learning AI is trained on partial data, while deployment includes how the product is used in practice. AI applications in the healthcare industry frequently involve robots working with humans, which also 'blurs the line of responsibility.
PISIQ Research and Development, the entity behind various Artificial Intelligence and Automated solutions for both organizations and various healthcare institutions, work in a company with human medical practitioners like doctors, surgeons, etc., in various healthcare fields. As the saying goes, "life is not always a bed of roses'', we have faced issues over here too. When machines break down, or the dis-functioning of the old –worn machines give away false results. This is just the overview; things can be worse than this. If intelligent AI trained on diagnostic data ends up under-representing a white patient and then misdiagnosing a black patient, it's unclear who's at fault and whether the culprit responsible for the sensitive issues is the AI Company, those who collected the diagnostic data, or practitioners and doctors who chose to listen to the recommendations. On this, Mudar says that if any such cases come up, it will take decisions and assumptions similar to the ones taken by human doctors. Although, it would not know on what basis did it take that decision. Pandora's Box of Artificial Intelligence also pointed out that there could be a possibility of not knowing the humans' intent or conduct that deployed the AI, since even they may not foresee what solutions the AI will reach or what decisions it will make. We could focus on the designers that came up with the designs, but could they hold them responsible for anything? The CIO (Chief Information Officer) Mohammad Nihal Shaikh said that "If the legal system absolves designers from legal responsibility due to the fact AI moves are unexpected or unpredictable, then injured individuals can also be left with high possibilities for reimbursement, which we want to minimize the possibility of happening as much as we can."
Regardless of the situations stated above, an effective and efficient number of operations have occurred without any AI casualty. Mudar Muhissen, CTO (Chief Technical Officer) at PISIQ, says, "If it's not clear who is responsible for these issues, then that alone creates a gap in the chain, it may also be such that no one is responsible for these unforeseen problems''. Healthcare industries and AI often collude together, unravelling innumerable decisions taken by many professionals from various fields. Even though it expected AI to develop more in the future, it cannot take human doctors' and nurses' place.
However, as AI improves, it gets difficult for humans to go against machines' decisions. "It's a lot easier for doctors to go along with what that robot says," says Zaki Salah, Researcher at PISIQ R&D. This tells us that after some point in time, AI will rule over the medical staff. There are many occurrences where PISIQ Artificial Intelligence outperforms humans as a whole, so doctors should defer deep machine learning. Patient awareness is still justified in a better way when it comes to the healthcare industry. "You need both technology and humans for an effective workplace, especially in something as important as healthcare," read a quote by Mudar Muhissen, CTO at PISIQ.
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