Artificial Intelligence, a technology that is rapidly transforming the world industries. From healthcare and manufacturing to even our on-demand industry, AI promises a brighter future ahead.
Speaking of the healthcare industry only, the transformations brought about by AI in the field of healthcare are staggering, to say the least. From performing surgeries to providing the most minor of healthcare service, the impact of AI is everywhere to be seen.
Think of your mobile applications, for example, today, there are AI-powered applications providing top-notch services to users around the world. But here’s a thing, picking the right AI healthcare app today is a hassle as there are multiple options available on app stores today.
So, let’s have a look at some top 9 real-world applications of AI in the healthcare industry.
Diagnostics and Medical Imaging
Medical Imaging is a very complex process where images of human internal organs are taken via a noninvasive method. It is becoming quite popular for diagnosing and treating diseases. Moreover, many Healthcare app development firms have come up with mobile apps that use evolved image recognition to offer at-home diagnostics. A few of the real-world examples are Pathai which diagnoses cancer accurately via AI and Buoy Health – an intelligent symptom checker.
Medical Trial Enrollment
Medical trials are a way to test new drugs discovered or for research purposes. AI has really played its magic here. This next-gen technology allows access and extracts data from the medical records. After this, it is used to compare with ongoing trials. With this, the clinical studies practiced by doctors and scientists will be more relevant and accurate.
Biometrics in Healthcare
By using the neural network technology derived from Artificial Intelligence, scientists are able to examine and analyze some of the atypical risky components which were complicated to quantify before. And now, AI has bestowed its powers on the healthcare industry by offering things like examining and recording skin color changes, retinal scans, and so much more. The ability to discover and identify patterns in the data will assist in exploring new diagnostic methods.
Improved Drug Discovery
It is a well-known fact that the process of discovering even a single drug can take an unaccounted amount of time. This is probably why we are still lacking vaccines for many diseases out there in the world. One of the recent examples being the COVID-19 pandemic.
Nevertheless, this technology is working its way up to become the ultimate solution for drug discovery-related issues and setbacks. With AI, scientists will be able to discover anecdotes in days where it could have taken years. It would really be interesting to see how or if AI will help in discovering the drugs to combat ongoing Coronavirus.
Now, this is something interesting, isn’t it?
Although still in the infancy stages, this concept has taken shape in the real world for good. In 2017, a group of surgeons at Maastricht University Medical Center, Netherlands tested the robot-assisted surgery to basically suture extremely narrow blood vessels –.03 to .08 millimeters across.
This example has given hope that AI can truly help in advancing and improving surgical performance. Since any typical and complex procedure varies from surgeon to surgeon depending on their skills. Having AI robots can really eliminate this difference on an individual level and offer accurate success rates, irrespective of who is being operated. Nevertheless, as of now, we don’t see this trend replacing the crucial human factor from the process.
One of the greatest advantages of Artificial Intelligence is touted to be personalization. From chatbots or algorithms displaying similar products on commerce apps and websites, this trend has now touched the healthcare domain too.
Precision medicine has been in the talks for quite some time now. Its foundation relies on huge piles of data that have been collected over the years via numerous technologies such as health sensors or wearables as we call them, advanced biotechnology and cheap genome sequencing.
This will help in tailoring medical treatments on an individual level offering more personalized solutions to their issues. With precision medicine offered by AI, doctors won’t have to find overlapping characteristics among patients to give accurate treatment.
Mining medical records
One of the headaches that almost all the industries suffered from and now are coping fine with AI is data management. There are a plethora of mHealth applications that allow hospital management to store and record patient data in an efficient way. In fact, there are apps digitizing prescriptions nowadays that are greatly enhancing the way we store medical records and are helping medical institutions to handle large amounts of data. Tech giant Google also launched its Deepmind Health program that is being used to mine data of healthcare records. This will obviously help in better and effective services in the long run.
While we continue to rest in our homes, there are engineers in the world working on further enhancements in the world of AI. Let’s hope for the AI utopia to come soon in healthcare.