Artificial Intelligence (AI) is no longer a thing for science fiction movies. Although we may not have reached the point where computers rule the human race, AI has successfully penetrated every major industry by offering a multitude of applications for every function. The healthcare industry is not far behind. The abundance of applications of AI has provided the healthcare industry is astounding. From robotic surgeries to data protection and fraud detection through identity authentication, AI has presented the healthcare industry with numerous solutions and made access to healthcare easier for patients. Some of the best functions of AI in the medical sector include;
Robotic surgeries have been around for a long while. But before now, they were guided by doctors and support staff to perform functions and needed constant supervision. AI tech has lent surgical robots that independence; they are now able to act independently without being guided through hand controls by a surgeon. Such robots are still not able to perform complete surgeries on their own. However, they are able to assist surgeons and reduce their work. They can also allow them to reduce deviations in surgeries that can occur from different methods used by individual surgeons. AI-enabled robotic surgeries also assist in performing relatively mundane tasks such as cutting and suturing. Most importantly, they collect data from each surgery so as to make improvements to future operations.
Making a diagnosis from a set of recurring symptoms can be a challenging task for doctors. Particularly if the symptoms match more than one disease. Machine learning, which is an application of AI, uses complex algorithms to accurately present a diagnosis from a set of symptoms. What is more, is that such AI assistants are now exceeding doctors and consultants in making timely diagnoses. AI diagnostic tools are particularly helpful in areas where doctors are less in abundance and timely diagnosis is required to save a patient’s life. More than that, diagnostic solutions working through AI can analyse pathology results in a more efficient and effective manner. Similarly, they can also improve oncological detection helping consultants diagnose cancers on time. Moreover, in hospitals where the budget for hiring full-time doctors is low, diagnostic assistants can help in maintaining and reducing the costs of diagnostic processes.
Another way in which AI can improve the process of diagnosis is by assisting radiologists to analyse CT scan images and MRIs. All such diagnoses that involve pinpointing the disease by examining radiology images, can be done through AI-enabled image analysis tools. Through 3D and 2D image mapping, AI offers quick and better diagnoses of diseases related to heart, lungs, liver and particularly the brain. Additionally, through complex algorithms, AI can also make diagnoses in more detail and provide a better understanding of the tumour or disease of the patient. Image analysis software has also reduced errors in diagnoses and can analyse hundreds of images within minutes.
Medical identity theft is a huge dilemma for the healthcare industry. Fraudsters find it easier to steal a person’s medical ID information rather than their financial information as it is less strictly guarded. What is more, is that it is a lot more valuable to sell over the dark web as, apparently, our medical records contain a lot more information including our full name, DOB, social security number and medical insurance number. All such details can be compromised if a person loses his/her medical insurance card. Even if your insurance card is still with you, all a fraudster has to know is your insurance ID and they can avail medical care in your name, or purchase prescription drugs from the pharmacy using your details.
Medical identity theft is rather more dangerous than identity theft. The latter compromises your financial security, the former ends up affecting your health. To counter this fraud, AI-based applications of identity authentication and detecting patterns in data to pinpoint fraud. Fraud detection solutions like online identity verification authenticate a patient’s identity by scanning their document(s) digitally. They then make sure the person requesting medical assistance and the one in the ID documents are one and the same through facial recognition services.
Other security solutions for fraud detection include data analysis platforms that use medical data to determine what patterns are normal and which ones are fraudulent.