AI is proving itself a very important part of healthcare departments. With the advancement of technology the use of AI in healthcare industries is increasing day by day. Here are some major contributions of AI in healthcare:
Radiology-
In the field of radiology some solutions are being generated to automatically analyze the image and the ailments. This will ultimately help to show the main area of concern and a significant reduction in human errors. There are some completely automatic solutions that can analyze and elucidate a scan without the need of any human supervision.
This will help in spontaneous analyses of the images. Some of the most recent displays of tumor detection on CT scans and MRIs have opened new opportunities for timely prevention of cancer. There is a company in America that has received the confirmation of FDA for the use of an AI system to analyze the images regarding Cardiac MRI.
Drug Discovery-
AI is playing a very vital role in the discovery of new drugs to treat the diseases in an effective manner. AI is being used to suggest some significant treatments from a large collection of data based on the pre- existing drugs that can later be restructured to treat some harmful diseases like Ebola virus.
This can be a very significant step in improving the effectiveness and the passing ratio of new medicines and it can also speed up the process of introducing new drugs in the market to cure some harmful and life threatening diseases.
Risk discovery in patients-
AI can prove very helpful to doctors to point out the patients having risks and this can be done through the analysis of data of the previous patients.
The present concern involves the risks of re-admitting to the hospital and spotting the patients that are having a high risk of returning back within the time span of 30 days after their discharge from the hospital.
One of the most recent works of AI has displayed the ability to foretell the high risk of heart disease merely from the still image of the patient’s retina.
Initial Care-
There are several institutions and medical departments that are currently working on providing the health advice to the patients through the voice note or via text message.
This can be very helpful in providing the primary information to the patients for their medical concerns and problems.
This can ultimately reduce the amount of unwanted visits to the doctors and this also provides basic guidelines to the people living in underdeveloped areas who do have an easy access to the doctors.
The idea is very much clear and important but it still requires to prove its worth regarding the patients’ health and their safety.
Challenges regarding the use of AI in healthcare:
The AI solution requires multiple trials and a huge amount of data regarding the patients to simply improve the accuracy of the results and in the field of healthcare gaining access to this amount of data brings about a lot challenges like:
The privacy of Patients:
The privacy of the patients’ data is very important and the access to this data is strictly prohibited and during the recent times the sharing of data between the healthcare institutions and AI institutions has developed many concerns that raised many privacy and ethics related concerns,
Who needs the data of patients to formulate a new AI elucidation?
How the rights of patients regarding data privacy can be secured?
What can be ultimate consequences in case of any security threat to data?
Should healthcare institutions be given the right to provide the private data of patients to some unidentified AI institutions?
How new rules and regulations in Europe like the GDPR General Data Protection Regulations will eventually help in the protection and privacy of patients data.
The validity of data:
There are some industries like the automotive industries or the aircraft industries where the data is based on quite reliable facts and figures for example various sensors in the cars and the mileage of the car or velocity etc. in the field of healthcare the data cannot be properly accurate or devised and might have some subjectivity issues like,
The notes of doctors stored in electronic records are usually not well structured and they are sometimes very hard to understand or use.
The data may be inaccurate a patient must be declared as non smoker but in reality the patient might be hesitant to admit that he was not able to get rid of it.
The data can be corrupt which might make it difficult to analyze a patient’s profile properly.
Conclusion:
To conclude we can say that AI is almost taking over or at least playing its part in many fields throughout the world and the timely need of new and highly developed solutions in the field of healthcare are much needed.
The solutions that AI is providing can be seen as little efforts towards major healthcare issues but still AI needs to develop a lot to create a global impact in the field of healthcare. If some of the significant issues are resolved in the coming time then it will change the outlook of the healthcare industry.