Tag: ai


Pros and Cons of Artificial Intelligence in Medicine

Medicine and healthcare is one of the many industries that have been infiltrated by artificial intelligence. AI enables advancement through many aspects, though it has its limitations. Shifting from traditional practices to implementation of modern technology incorporating AI may pose a few challenges along the way. Let us discuss the pros and cons of artificial intelligence in medicine in more detail:


1.     Streamlining of Tasks

AI excels at undertaking mundane and tedious tasks like scheduling appointments, fetching out medical records, and translating clinical documents. Running such errands manually takes up a lot of extra time, and there is ample room for mistakes. AI allows healthcare facilities to automate several operations and eradicate the possibility of errors. Everything from signing up a new patient to billing transactions becomes seamless. This greatly reduces the stress of pending work and deadlines for the hospital staff.

2.     Real-time Data

An important factor in identifying and solving medical problems is to acquire reliable data in a timely manner. AI allows physicians and other healthcare professionals to gain accurate and precise data, as well as accelerate evaluation. The access to faster and realistic output can lead to improved decision-making and precautionary measures. This real-time analysis also promotes better communication between doctor and patient. Remote consultation and mobile notifications have proven to be very useful in emergency situations.

3.     Profound Research

AI can access and store unlimited amounts of data, which is exactly that makes it so intelligible and smart. It learns from the information fed to it, and its understanding develops over time. The analytic abilities of AI make it a valuable asset to research. Medical experts can navigate and assess data more expediently with the assistance of artificial intelligence.

4.     Efficient & Cost-Effective

Thanks to automation, healthcare professionals have more time to diagnose and treat patients, instead of handling the plethora of formalities. The minimization of administration and technical errors means lesser complaints and personal injury claims to process. Saving time almost always leads to saving money, which is a big win. Medical facilities can use their resources in comparatively productive areas, which in turn generate more revenue.


1.     Requires Monitoring

There is no doubt that AI has become so much smarter over the years; nonetheless, it still needs human input and supervision. Unlike real doctors, computers cannot make behavioral observations, contemplate over data, and think out of the box. AI relies of previous trends and patterns, which can be inconsistent or misleading at times.

2.     Security Risks

AI systems are vulnerable to security breaches because they are dependent on virtual data networks. Despite being the smartest technology to date, it requires advanced cyber security to combat offensive AI used by hackers to break the strongest defenses.

3.     Shortcomings in Data

Every medical case is unique; two people suffering from the same disease seldom benefit from identical treatments. The viability of a medication or healthcare procedure for the patient depends upon several factors, such as age, gender, body mass, and the existence of other health conditions. AI does not recognize and analyze these complex data variations like the human brain.

4.     Unemployment

While AI reduces several management and administration burdens, it also takes away a number of jobs. People who were previously hired to undertake the repetitive and humdrum chores are no longer needed. The advancement of Artificial intelligence promises the creation of many new jobs for those proficient in data science, whilst replacing or terminating an even greater number of miscellaneous work roles.


Potential of AI in Healthcare

Modern era is all about digitization, which is why AI (artificial intelligence) is rapidly infiltrating every industry, including healthcare. Medical data is complex, and it keeps growing with the development of new research and treatments. AI application can help speed up or automate several healthcare operations, whilst reducing or eliminating chances of error. AI may bring out extensive improvement in the healthcare system, and perhaps fend off cases involving medical malpractice. The capabilities of AI are indefinite, yet application in the following sectors looks most promising right now:


Healthcare administration deals with a lot of paperwork, including registration, clinical documentation, record updating, claims processing, and financial management. Medics spend at least 25% of their time dealing with mundane administration tasks, which means the time allotted to patient care is reduced by one fourth. Chat bots or virtual assistants can take care of simple chores through machine learning. For example, a computer/machine can allot appointment time and date to patients a lot faster than a person, by referring to a digital calendar. Similarly, reminder calls and messages can be easily scheduled and delivered by a computer.

AI is capable of making phone calls, and one may not even realize that they are talking to a robot. Patients who come for prescription refills can also be assessed and accommodated faster with AI applications. Precisely, AI can take over several healthcare jobs that do not require face-to-face interaction with an actual doctor

Patient Engagement

More than 90% of complaints coming from patients concern poor customer service. Their calls are not answered, they are confused over the paperwork, and the front desk person is unable to provide any assistance. Robots have high potential to excel human beings in the department of customer care. Through integration with big data, they can answer all the questions that bother patients. AI has already mastered voice recognition, thus in can interpret different languages and/or accents. As a result, many foreign patients can be accommodated with ease as communication becomes easier with computerized translation. The best thing about talking to a robot is that it won’t get agitated, no matter how many times you ask the same question. Patients do not have to feel nervous or hesitant while seeking information from a machine, as they would across a real person.

Diagnosis and Treatment

Radiology images acquired through x-ray, MRI, and CT scans provide insight regarding the internal conditions of the body. Nonetheless, they are often inadequate to diagnose complicated health issues. In such cases, doctors opt for a biopsy, i.e. extracting a physical sample from the patient to study in the laboratory. This process is not only time consuming and convoluted, but can also endanger the patient’s life. AI has the potential to enhance the viability of radiology tools by producing images or digital representations that more detailed and profound (something like a virtual biopsy).

When doctors are trying to make a diagnosis, they may end up with multiple possibilities. Further investigation and research is needed to narrow down the options. Various tests are carried out to assess obvious and hidden symptoms. AI can speed up this process by referring to information in the medical database; this way doctors will not have to do the work manually and the most accurate hypotheses will be filtered immediately. AI has been applied to evaluate complex data sets involved in cancer cell study and its treatment. It can also provide a deeper understanding of genes, antibiotic resistance, and immune system response in different patients.


Author Bio

John Adams is a paralegal who writes about widespread legal and social issues. He helps readers overcome challenges and solve many personal problems the smart way, rather than the hard way. He aims to reach out to individuals who are unaware of their legal rights, and make the world a better place.