Artificial Intelligence is a program that makes a complex calculation, process, and decision itself. It has the ability to learn on its own, identify patterns in data and make inferences about what it learns.
Artificial intelligence has made dramatic progress over the last five decades or so. Technology evolves fast because of artificial intelligence. It impacts tremendously on the healthcare industry too.
AI already has an indispensable role in modern medical practice, with systems used for radiology diagnostics, outpatient care delivery, preventive care management, surgical planning, and more. If artificial intelligence can help doctors who deal rationally with information suddenly become much better at diagnosis simply by expanding their access to information beyond their own memories or experiences it could be a powerful tool indeed”. Many artificial intelligent diagnostic systems are already on the market. They range from artificial intelligence like IBM Watson, Google’s artificial intelligence that is now assisting cancer doctors to make treatment decisions based on patient data and medical research findings; artificial intelligence systems for analyzing CT scans; artificial intelligence systems for CHAT diagnosis (Dr. Doom) which can reportedly diagnose patients with acute asthma better than a doctor; artificial intelligence like Macros designed by Stanford University, the artificial intelligence systems for population health management, etc.
AI can provide a big opportunity to the healthcare industry as well as a threat too. It will require a lot of ethical consideration about who has access to this information and how it can be used in making clinical decisions”. Nowadays artificial intelligent diagnostic systems are only at their infant stage since artificial intelligence is still in its under-developed state. However artificial intelligent diagnostic system like IBM Watson offers great hope for reducing diagnostic error and increasing the speed of diagnosing diseases. Artificial intelligent technology can help patients to get appropriate care or treatment by finding the most accurate diagnosis at a lower cost and time-saving way.
How artificial intelligence will change healthcare in the future?
“Artificial intelligence systems for population health management (AIPS) has been employed by many U.S. companies to handle workers’ compensation claims, make adjustments and build case files; artificial intelligence like Macros designed by Stanford University helps physicians taking care of diabetes patients with hemoglobin A1C values outside the normal range to use artificial intelligence so they can have more evidence-based, personalized and proactive care; artificial intelligence like the one developed by a team at Boston Children’s Hospital can read eye scans and identify signs of severe vision problems faster than a human doctor”.
The artificial intelligence system used in healthcare can play a more significant role in the future. It will be able to diagnose the patients, predict the risk for disease and make treatment decisions more accurately and effectively. According to AI venture capitalist Kai-Fu Lee (Lee is general partner at Sinovation Ventures, IDG Capital Partners), artificial intelligence has lots of potential that may change industries including health care. He said that artificial intelligence could help medical science, which is currently co-dependent on artificial intelligence. In the future, artificial intelligence could be a significant force that will change healthcare industry from diagnostics to treatment.
In my opinion artificial intelligent technology is a very promising tool which can shorten the time of medical diagnosis and enhance the accuracy of diagnosis as well as a part of a team work with humans in clinics and hospitals. However it also raises questions about how artificial intelligent technology will change healthcare industry in the future? As artificial intelligent diagnostic systems are still under-developed state artificial intelligent technology have contributed little impact on current health care system even though they already have an indispensable role in modern medical practice now. The question now is what artificial intelligent systems for example IBM Watson can bring to us? More reliable treatments or improved diagnosis?
Artificial intelligent systems like IBM Watson can help physicians taking care of diabetes patients with hemoglobin A1C values outside the normal range to use artificial intelligence so they can have more evidence-based, personalized and proactive care. However artificial intelligent technology is still in its infant stage since artificial intelligence is under development even though artificial intelligent technology like IBM Watson offers great hope for reducing diagnostic error and increasing the speed of diagnosing diseases. If artificial intelligent technologies are further developed I believe that artificial intelligent technology will bring us more reliable treatments or improved diagnosis in the future.
What is AI in Medicine? What Will be The Future of AI Medicine?
The topic of ai, or artificial intelligence, has been a controversial subject since the 1950s when ai research first began. Many scientists warn that ai will one day surpass human intellect, but others believe that a technology is not intelligent until it can trick a person into thinking that it’s another person instead of a computer program. Scientists who believe in this “Turing test” theory say that ai will remain science fiction unless there is an advancement toward passing this test. However, if a machine can pass as a human being than it should be considered to have consciousness and other rights like humans do.
Doctor James Giordano said, “What I think about all day are ways to integrate new technologies into biomedicine so that they can help a larger number of people.” Giordano is a scientist who studies ai and its potential in medicine.
A recent article published in the New England Journal of Medicine (NEJM) by a group called Physicians Against AI (PAIA), discussed ai’s use in diagnosing patients and making decisions about treatment plans. The goal of this group was to raise awareness about ai and how it could potentially replace physicians if not done right. Their report has sparked controversy within the medical community because it concluded that a machine should never make a decision on a patient’s diagnosis or care without direct supervision from a physician.
Obviously, most doctors do not agree with this conclusion since everyone knows there is a doctor in a hospital at all times. Yet ai has a wealth of information that a doctor can’t know alone, therefore a doctor’s job is to direct a machine and interpret the data it has collected from a patient. Giordano said, “The role of a physician today is to integrate information from a variety of sources – lab tests, clinical observations and so on – not only to make a diagnosis but also determine the most effective course of treatment or therapy.”
The future for ai medicine seems both promising and frightening since no one really knows how accurate machines will be compared to doctors. Usually with technology there are doubts at first until they become proven useful over time through testing and research. Doctors already use a wide range of ai in a clinical setting and a few of these ai will be discussed.
One ai is called IBM’s Watson for Oncology and was introduced to the Memorial Sloan Kettering Cancer Center a year ago. This technology has been analyzed over a million medical records from patients diagnosed with cancer. The program analyzes a patient’s entire genome along with their medical records, family history, medications, lab results, biopsies and more. In a short amount of time it produces a list of possible diagnoses that a doctor can then compare to what he or she knows about the patient to make a decision on treatment plans or recommendations for other specialists who may be better suited for certain procedures.
Another ai that is used in a clinical setting is called Vida. This ai analyzes medical text and data to make a virtual doctor. It can diagnose patients using information about symptoms, illnesses, diseases and tests completed by the patient. The ai also allows doctors to input relevant information about treatments already received or ongoing so it can recommend changes in treatment plans if needed after reviewing the new data.
Doctor Giordano said, “We’re seeing a lot of programs that are designed to augment our abilities.” He pointed out that ai has not yet surpassed human intelligence because physicians still need to be involved with diagnosing patients but ai will continue to get better at its job through more research and testing over time.
“We’re a long way from a machine being a physician,” a doctor said. She continued, saying ai might be able to diagnose a patient successfully but a doctor needs to understand the patient’s medical history and have a strong relationship with the patient in order to know how they will react to treatment. In other words, ai can’t replace a doctor due to patients’ personal connections with their doctors, not just medical information.
A group called Physicians Against AI (PAIA) published a report that raised awareness about ai and how it could potentially replace physicians if done wrong. IBM’s Watson for Oncology was introduced one ago at Memorial Sloan Kettering Cancer Center. It analyzes a patient’s entire genome along with their medical records, family history, medications, lab results, biopsies and more in a short amount of time to produce a list of possible diagnoses a doctor can then compare to what he or she knows about the patient. The ai also allows doctors to input relevant information about treatments already received or ongoing so it can recommend changes in treatment plans if needed after reviewing the new data.
AI has not yet surpassed human intelligence because physicians still need to be involved with diagnosing patients but ai will continue to get better at its job through more research and testing over time.