Ways in AI Will Impact Medical Care In The Future


As the world contracted the pandemic that affected almost everyone on the planet, the demand for personalized healthcare facilities aggravated. People became more aware of their health and started looking for care services that were dependable and designed as per their requirements. As AI is being predicted as the next big thing to impact everyone on the planet, experts in the healthcare industry are looking for ways by which this new form of technology can help improve the ways how medical care is provided.

The good news is that experts in this area have already initiated applying AI in many ways in the area of medical care. So here are some of the ways in which AI has started serving the healthcare industry.

Predictions by analysing data

During the pandemic, the greatest challenge was the availability of care services as there was a shortage of everything that medical set-ups required to address everyone in need. Using AI predictive analysis, medical service providers can have a prediction regarding patient volumes and future requirements well in advance to get prepared for the approaching situation.

Natural language processing for diagnosis and interpretations

AI has been designed with this inherent capability of comprehending natural human language. By making use of characteristics like speech recognition, data analysis, data interpretation and other related ways, AI can reveal various details that can be used to make future decisions. The machine learning feature of AI is designed to increase the accuracy of recognition with time. While there are still chances of missing out on secondary issues while looking for the major concern; with AI, more accurate diagnosis can be made and suggested treatment can be started well in time.

Machine learning and neural network

With the machine learning feature of AI, it can be utilized in precision medicine which implies foreseeing the treatment needed based on patient history, symptoms and other significant factors. AI can suggest the treatment likely to work on a patient using its analytic power. A higher level of machine learning which is called neural network technology is being used for applications like forecasting the odds of a patient contracting a particular disease. There may be symptoms that pose a potential risk to a patient’s health. AI can analyze the data beyond the perception of the human eye to promise higher precision in diagnosis.

Performing surgeries and assist in medical procedures

There have been several instances where robots were utilized to perform surgeries or for assisting surgeons during procedures like the Da Vinci Surgical System. Thousands of industrial robots are being installed in medical premises and healthcare facilities every year in various parts of the world. Apart from assisting in surgeries, these smart machines also perform pre-programmed tasks such as helping patients in positioning, assisting in lifting, assembling items, delivering supplies and more. Their performance and functionality can always be enhanced by programming them for performing other tasks.

Ensure patient participation in the treatment

Studies show that if active patient participation during the treatment is not exercised, it becomes a huge barrier to achieving the expected results. Medical care providers, on diagnosing the issues, develop a plan for the treatment that must be followed to see improvement in the patient’s health. However, it is most often observed that if the needed plan is not followed or the necessary behavioral adjustments are not done, the results may take time to show or may not show up at all. AI may help patients during the treatment process to stay put with the treatment plan designed by the expert. AI interactive devices may help with medicine timings, recalling for a follow-up, keeping the pill stock and following other important steps of the treatment plan. These new technological approaches will also have to be incorporated into medical and nurse training going forward. Thus instances of non-compliance with the course by a patient can be avoided. With proper patient engagement, positive outcomes can be achieved in the expected time frame and good health can be ensured.

There has been a great emphasis on how AI can be utilized in providing better medical care to patients. AI can enhance patient care and benefit humanity in achieving a better healthier life. 


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