Artificial Intelligence in Healthcare  

Artificial Intelligence over the years has become one of the most major developments of medicine with the greatest out-comes. The majority of the community, views it as a life-changing tool, which has the possibility of helping the healthcare workers, such as doctors and nurses, to diagnose the patient quicker and more effectively,create personalized treatments based on the disease they want to overtake,and even predict future life-threatening diseases, like cancer and possibly save the patient’s life by diagnosing it early.

The minority, on the other hand, believes that AI use is developing way too fast, questioning it about safety and justice, highlighting the fact that it is unethical letting a machine have accessibility into the heart of healthcare.  Both opinions are mirroring truth and are respected.AI has high potential into the healthcare system-if only we are aware of the risks. 

One of the most straightforward benefits of using AI is for sure its speed and accuracy. Imagine a computer program,which can scan simultaneously thousands medical images,such as X-Rays in seconds and thus,highlight suspicious growths a radiologist might not spot by human mistake. Especially for medical conditions like cancer,  which time is vital and usually determines survival rate,such tools may save patient’s lives. 

Also, AI aims to recreate healthcare as a most personalised one for each patient. Instead of,prescribing each patient the same prescription they have given thousands other ones in the past for their disease, doctors, more likely pathologists and pediatricians, have the capacity of analyzing genetics, lifestyle habits and medical background and decide which treatment fits better for each of their different patients,along with AI.

However, AI use is not only bright-sided. The most troublesome is bias. AI programs learn from the information we give them and if that specific data is transferred into certain populations or even reflect possible prejudice, the out-comes can be catastrophic. An important tool that works pretty well with accuracy for the middle-aged men living in wealthy countries, with great economic stability,might fail women and children or marginalized groups, living in conflict zones,developing the inequalities of access in healthcare over the years, medicine in general tries to reduce. 

If you think about it, the issue of trust is a questionable one. Even the creators of numerous AI systems and programs,  often can not entirely explain how they find a solution or reach a conclusion. Logically speaking,doctors will have to both explain the diagnose to the patient and reassure themselves about how accurate the conclusion of the disease is. A number of patients, of course, will not agree to the out-come of the diagnosis and will not follow the needed treatment, since they will develop trust issues for both AI and health care workers.

Remaining safe is another issue. If a computer system or algorithm, makes a mistake and misdiagnoses or overlooks clinical, laboratory results or X-Rays, the results will be devastating,since the patients’ lives will be put in danger. 

Privacy is another fact. The majority of all health records, contain numerous personal information. Openly sharing and analyzing that kind of data with AI, opens the door to potential harm, through hacking, commercial exploitation, or simple carelessness. 

In global, Artificial Intelligence over-information can increase inequality between different healthcare systems of wealthier and poorer regions, by giving the possibility for the ones with better economic stability to adopt high-quality tools quickly and leave poorer ones behind. 

In conclusion, Artificial Intelligence will not find a solution and solve all the healthcare problems a number of industries are dealing with daily, but it may become a useful and powerful tool if we handle it with carefulness.The future of medicine should be transformed based on the collaboration of both technology and humanity work, not one where one eclipses the other.