Artificial Intelligence: The Tech Trend that is Transforming the Healthcare Industry

Healthcare has emerged as a distinct area for the research and application of Artificial Intelligence. The medical industry has been blessed with newer technologies, all thanks to the implementation of AI. With its innovative and unconventional approach, AI has found itself serving in health and wellness aspects by replacing the conventional methodology.

AI is getting smarter each day and is becoming capable of things which humans do. All this at a fraction of cost, and more quickly and efficiently. Add to that the human expertise and you get digital systems aiding the professionals to provide better healthcare.

You can get expert medical advice with the push of a button on your phone. Save yourself a visit to a hospital and avoid long queues by interacting with an app on your smartphone.

In this article, we will have a look at the Artificial Intelligence technologies that are revolutionizing the healthcare industry.

Keeping Healthy

AI has been helping people stay fit and healthy. The integration of AI into smart wearables has allowed people to monitor their health accurately. Internet of Medical Things (IoMT) appliances record and store readings of the heartbeats, blood pressure, oxygen saturation, and other such metrics.

The data stored can reveal the day-to-day patterns. This enables healthcare professionals to understand the needs of their patients. People can control their health and well-being.

Early detection of diseases

The data generated by the wearables can be analyzed by AI-enabled applications. These applications have the power of predicting diseases even before they appear. This encourages a healthy and pro-active lifestyle that can keep the predicted diseases at bay.

In a recently concluded study, a team of researchers was able to successfully predict cardio-vascular risks from retinal images to predict cardio-vascular risks from retinal images revealed the underlying risk factors that included age, smoking patterns, gender, etc.

This ability of AI can be useful in identifying new risk factors and would allow better diagnosis of diseases. Also, AI has proved its predictions to be pretty accurate.

Quick Diagnosis of Diseases

AI has allowed the diagnosis of diseases in an early and accurate manner. The data stored can be used to predict and diagnose the underlying conditions, leading to a more effective treatment.

IBM has developed an AI-integrated healthcare assistant named Watson. It uses vast amounts of data to understand the patterns. Based on those patterns, Watson can respond to any anomaly in the data and detect the presence of any disease. It can also prescribe proper treatments to the patients.

Decision-Making

The copious amounts of data that is stored can be used to recognize the underlying patterns. These patterns could identify potential risks that a patient might face in the future. Identifying these patterns in a patient can help doctors treat the disease accurately.

This can help healthcare professionals make timely and accurate decisions to improve the patient’s condition. The clinical Decision-Making process can also predict the factors which could deteriorate the present condition.

Robots in the Healthcare Industry

COVID-19 is a highly infectious disease. In our fight against the CoronaVirus, we have to ensure that our healthcare professionals stay safe. They are the ones who are more susceptible to COVID infection, as they come in direct contact with COVID-19 patients.

This is where Robots come in handy. The robots have allowed the administration of drugs and monitoring of the patients remotely. Also, doctors can keep track of the body temperature of the patients with the help of robots, without being present physically. AI integration allows robots to analyze the data collected and report any abnormalities instantly. As a result, doctors can monitor more patients simultaneously.

Similarly, robots have aided surgeons during the operation procedure, as they are more accurate than human hands. There have been cases where robots have conducted the surgery themselves, with no human intervention.

Research and Discovery of New Drugs

The process of creating new drugs and introducing it to the market takes decades. The process is also a costly affair. With the help of AI, creating new drugs and vaccines has become easier. AI can be used in modern drug discovery to expedite the process and make it cost-effective.

AI can complete analysis in days that would have usually taken years. For the treatment of Ebola, AI suggested two drugs that had the potential to be redesigned to fight the Ebola virus. Picking out those two drugs manually from all the existing medicines in the market would have been impossible.

Precision Medicine

Precision medicine has helped in the treatment of cancer and other cell mutations. It relies on Genomic data. The analysis of the collected Genomic Data explains what has occurred in the cell, and what can be done to rectify it.

The AI-led analysis allows doctors to treat the ailments by delivering personalized drugs right to the affected cells.

Use of AI in Health Insurance Verification

Health insurance and all the paperwork behind the process has been troubling a lot of people. However, AI has made the process hassle-free. Getting all the information from the patient is easier with the help of AI-enabled Insurance Checker applications. Claim verification also does not require human intervention anymore.

These applications are built to decode, understand, and verify the insurance credentials. This allows the administrative team at the hospitals to save time and effort.

Conclusion

Artificial Intelligence has proved to be a boon for the healthcare industry. It has allowed healthcare professionals to make more informed and accurate decisions. With the ongoing research coming in, we can expect even more AI integrated technologies helping our healthcare workers.

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