AI Healthcare Apps Could Help Improve Medical Procedures and Diagnoses

AI healthcare appsThe field of artificial intelligence (AI) is already improving the healthcare experience in many ways.  AIs use pattern recognition to learn from historical data and diagnose and treat patients using machine learning algorithms.  They can mine past medical records to search for trends in symptoms and help provide better diagnoses than a human doctor may have been able to achieve.  


Functions of AI Healthcare Apps

There are a number of ways in which AI healthcare tools will help patients to better receive the medical attention they need while empowering doctors to take care of more patients without getting overwhelmed. Here are just a few of the many benefits offered from the combination of AI and healthcare apps:


Medical Training

AIs can provide low-cost, on-demand medical training for students and trainees.  It will be easier to find the answers they need when they need them most.  Medical training costs could also go down with the use of these apps.


Improving Diagnosis  

AIs can help doctors make better diagnoses by suggesting possible treatment plans based on the patient’s medical history and past experiences.  This will improve healthcare efficiency by reducing time spent diagnosing patients instead of moving on to treating them.


Disease Prevention  

AIs can use pattern recognition to identify risk factors for diseases and suggest preventive measures to reduce the patient’s risk of developing certain illnesses in the future. This will help reduce the risk of misdiagnosis and missed opportunities with regards to disease prevention.


Personalized Medicine  

AIs can use genetic algorithms in order to analyze a patient’s genes and personal biological make-up in order to provide personalized medical advice and treatments, based on the unique circumstances each patient faces. This means that patients will receive the care they need without having to wait for it.


Drug Discovery

AIs can use past data on genetic mutations to help discover effective drug treatments. This will help reduce the time and money spent on development, as well as increase the number of drugs available for doctors to prescribe.


AI Mobile Healthcare Apps

There are a number of AI-powered mobile apps in healthcare, such as IBM Watson, which uses predictive analytics to help doctors choose personalized treatments for cancer patients.  IBM Watson analyzed millions of research papers and patient records to uncover trends in medicine. This helped doctors identify a set of genes most likely to lead to remission in a patient with Chronic Myelogenous Leukemia (CML).

AI healthcare apps are available for download on the App Store and Google Play. These apps have evolved from initial rudimentary tools to sophisticated patient-care systems that can help doctors better diagnose patients.


The Future of AI in Healthcare

In the future, AIs will read and interpret medical tests better than a human, identify potential diseases before they occur, and even suggest the best-personalized treatments based on each patient’s specific genetic predispositions.

As big data becomes increasingly accessible, AIs will become much more advanced with recognizing patterns in a patient’s history to help doctors make diagnoses. AIs are already responsible for helping nurses and doctors more efficiently monitor patients, so that trend will only evolve further. While still in their rudimentary stages, these apps will show considerable improvement in their diagnostic accuracy, personalized treatment, and precise monitoring of medication and vital signs.

AIs may even become partners with surgeons by improving procedures and helping doctors avoid mistakes that can occur during surgery.  The use of AIs is growing quickly in the medical field, and their presence will likely continue to grow as they become more sophisticated.


Potential Advantages of AI in Healthcare and Potential Disadvantages of AI in Healthcare

The benefits of AI healthcare apps will reach all areas of healthcare, including but not limited to primary care, mental health, pediatric services, and homecare. AIs can go through medical records and provide more customized diagnoses than human doctors are able to give due to a lack of resources and time. AI healthcare apps will also help to reduce the number of patients that are misdiagnosed because doctors will have access to more information on which they can base their diagnoses.

AI healthcare apps will improve the efficiency of medical procedures and even reduce treatment costs by preventing diseases before they develop, avoiding the need to spend so much money on expensive treatments.

Of course, there are some drawbacks to the use of AI in healthcare.  Some experts believe that AIs may soon replace humans in the healthcare field, which could lead to job losses.  Others believe that AIs may not be able to completely replace human caregivers because they lack the emotional intelligence needed to provide certain types of care.  The technology used to develop AIs could be costly, so healthcare organizations may have difficulty accessing these tools. While there are signs of AI accuracy improving, there are still concerns that AIs may not be able to pick up on or understand subtle changes in patients’ conditions or moods.


As more and more people move their healthcare needs online and start using smartphones and wearables to monitor their health, AI healthcare apps have the potential to revamp the entire medical industry, saving countless lives, paving the way for healthier, more personalized medicine, and improving our overall quality of life.

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