AI in Healthcare
Artificial Intelligence has smartly
transformed industries around the globe and has the potentiality to alter the
field of Healthcare which is ready for some serious changes. From radiology and
risk assessment to chronic diseases and cancer, there are numerous
opportunities for leveraging technology and deploying more precise, efficient,
and strong interventions in real-time
Treatment structures are evolving, and patients are expecting more from their providers. Hence the amount of data is increasing at a constant rate, and artificial intelligence is the primary driver of all these improvements across the Healthcare spectrum.
Artificial Intelligence in the field of Health-care Sector
Artificial Intelligence offers multiple advantages, like improved data-driven decisions, increase disease diagnosis efficiency, reduce unnecessary hospital visits and help time-saving administrative duties. Learning algorithms have become more accurate and precise as they interact with the training data, which enable humans to gain outstanding insights into diagnostics, treatment variability, care processes, and patient outcomes.
Various surveys have revealed that the current status of AI applications in the healthcare sector can be applied to multiple types of Healthcare data (Structure or unstructured). And there are few Machine Learning methods for structured data like modern deep learning, support vector machine, neural network, and natural language processing for unstructured data.
Moreover, major disease areas which use AI tools include Neurology, Cancer, and Cardiology. For instance, experts can review a case of Stroke in detail through AI applications. AI enables the experts to have a detailed look at the three primary areas such as detection, treatment, and as well as prognosis evaluation and outcome prediction.
The areas of the Healthcare industry are most likely to realize a major change by Artificial Intelligence in the next decade. But, the question is, how?
Top 5 ways how artificial intelligence is going to revolutionize the Healthcare sector:
- Unifying machine and mind through brain and computer interfaces
Making use of computers for communicating is not a relatively new idea. But, creating interfaces bridging the gap between technology and the human mind without any significant applications is the cutting edge area of research.
Such as in a few cases, neurological diseases take away the ability to move and interact. This is where AI kicks in. Brain-computer interfaces backed by AI could restore those fundamental experiences for them.
2. Developing Next-Gen Radiology Tools
Radiological images can be obtained by CT scanners, MRI machines, and X-rays, which offers non-invasive visibility into the inside of a human body. But, several diagnostics processes might rely on many physical tissue samples that are obtained through biopsies and carry risks like a potential infection.
Artificial Intelligence will empower in building advanced radiology tools which will provide detailed reports and might replace the need for tissue samples in a few cases.
3. Reducing the burdens of electronic health record use
Electronic Health Records have played a major role in the healthcare industry. But, the journey towards digitalization has given birth to unforeseen problems and cognitive overload.
So, EHR developers are now turning towards artificial intelligence for creating more intuitive interfaces and automate the processes which consume most of the users’ time.
Apart from that, dictations and voice recognition aids to improve the clinical documentation, sorting through the in-basket, and order entry. AI could also help in processing the medication refills, routine requests from the inbox and result in notifications. It can also prioritize the task of a clinician that truly needs his attention.
4. Building precise analytics for pathology images
Studies reveal that 70% of the decisions in pathology is made on the basis of pathology results. And 70-75 % of all data in an EHR are from a pathology result. Therefore, the more accurate the results would be, the sooner you would arrive at the right diagnosis. And this way, digital pathology and AI will deliver a better service in the future.
Analytics will concentrate on the pixel level on extraordinarily large digital images, which would let the experts identify the nuances in a better way which might escape the human eye.
Artificial Intelligence will improve productivity by identifying the features of the interest in slides a human clinician could review.
5. Taking the Intelligence to medical devices and machines
As smart devices are taking over rapidly, offering everything from real-time video to the car’s interiors, it can detect when the driver is distracted.
Health sectors are not lagging from the touch of Artificial Intelligence.From critical monitoring patients in the ICU to suggest sepsis is taking hold, AI has significant contribution in this sector.
Inserting intelligent algorithms into these devices could reduce the probable burden for the physicians, and patients will receive better and timely care as well.
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