healthcare

Without a doubt, artificial intelligence has several applications that cut across various sectors including the healthcare sector. The potential for artificial intelligence in the healthcare sector is unquantifiable as it becomes increasingly integrated into the healthcare system.

Artificial intelligence is gradually changing the way and manner healthcare is being delivered by doctors and other health professionals. It has made healthcare not only cost-effective but has also improved the quality of diagnosis and treatment given to patients.

Even more, AI has several advantages compared to traditional clinical analytics and diagnosis techniques. It is also worth mentioning that learning algorithms help in allowing humans to access deep insights into care processes, diagnostics, variability, patient outcomes, and treatment.

In this article, we have highlighted some of the potentials of artificial intelligence in the healthcare sector.

Unifying Mind and Machine through Brain-Computer Interfaces

Trauma to the nervous system and neurological diseases are capable of affecting some patient’s ability to interact, move, and speak hence affecting their ability to effectively relate with their environment.

healthcare

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Artificial intelligence supported by brain-computers comes in handy when it comes to restoring those abilities to the patient who would have lost them ordinarily. More so, it can tremendously improve the quality of life of patients with strokes, locked-in syndrome, spinal cord injuries, and ALS.

Improving Access to Quality Healthcare in Underdeveloped or Developing Areas

Due to the shortage of medical professionals in underdeveloped and developing countries, lots of patients are denied quality health care services including radiologists and ultrasound technicians. The integration of AI into healthcare will not only help to reduce the effect of the shortage of healthcare professionals, but it will also help to make quality healthcare more accessible to patients.

Developing the Next Generation of Radiology Tools

Although radiological images from CT scanners, x-rays, and MRI machines show some slightly visible images of the inner workings of the body, medical professionals still rely more on physical tissue samples which are gotten via biopsies which can be quite risky.

However, the introduction of artificial intelligence into healthcare delivery will help radiographers develop tools that are more detailed, clearer, and accurate enough to eliminate the need for tissue samples in a lot of cases.

Additionally, medical experts will be able to easily determine the severity of cancer cases as well as provide more targeted treatments. That said, AI will also help in improving image-based algorithms to predict the genetic properties of tumors.

Monitoring Health Through Personal devices and Wearables

Nearly everyone today had access to several devices that come with sensors to monitor their health and gather data regarding their health.

healthcare devices

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From step trackers to smartphones, fitness trackers, and many other health monitoring gadgets.

AI will help in extracting all the vital information needed to accurately diagnose and proffer treatment for patients using smartphones and other smart devices.

Reducing the Burdens of Electronic Health Record Use

Electronic health record has played a vital role in the quest for attaining digitization. Although the switch brought about several challenges relating to user burnout, endless documentation, and cognitive overload, it has also been love in the right direction.

The use of AI by EHR developers has helped to automate some processes, create intuitive interfaces, and saved a lot of time that would have been spent on documentation.

Even more, dictation and voice recognition features have helped in improving the overall documentation process.

Containing the Risks of Antibiotic Resistance

In recent times, antibiotic resistance has increasingly been on a rise hence posing a threat to the world’s population. The overuse of antibiotics leads to the development of superbugs and this superbug does not respond to treatments any longer. 

Multidrug-resistant organisms can wreak havoc in the hospital setting, and claim thousands of lives every year.

Conclusion 

Overall, the introduction of artificial intelligence in the healthcare sector is not only going to improve the quality of healthcare delivery, but it will also make it less costly and more accessible to patients.

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