Impact Of AI On Healthcare

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Impact Of AI On Healthcare

Artificial intelligence empowers healthcare professionals with the capability to better understand the everyday needs and patterns of their patients.

AI is becoming more advanced in doing the things that humans do, but more efficient, faster and less costly. The capability and potential for both AI and robotics in health care are enormous. As in our daily lives, AI and robotics are becoming a part of our healthcare ecosystem. We have highlighted a few ways to show how this transition is currently taking place.

Keeping Healthy:

One of the beneficial advantages of AI is that it helps people in staying healthy because they will not need a doctor, or at least not often. The use Internet of Medical Things (IOMT) and Artificial Intelligence (AI) in consumer health applications is already helping people. Technology applications and applications promote healthy behavior in individuals and help maintain an active, healthy lifestyle. It keeps consumers in control of health and well-being.

Additionally, artificial intelligence empowers healthcare professionals with the capability to better understand the everyday needs and patterns of their patients. With this awareness, they can better respond, guide and support them to stay healthy.

Timely Detection:

Artificial intelligence is already being used to diagnose diseases such as cancer more accurately. According to the American Cancer Society, the vast majority of mammograms give false results, claiming that one in two healthy people has cancer. Using AI, mammograms can be reviewed and translated with 99% accuracy and nearly 30 times faster. This decreases the need for unnecessary biopsies.

The deployment of consumer wearables and other medical devices in conjunction with AI will also be applied to early-stage heart disease monitoring, allowing physicians and other caregivers to monitor better and detect malignant episodes.

Diagnosis:

IBM’ Watson is helping healthcare companies to apply cognitive technology for unlocking power diagnosis and health data on a wider scale. Watson can review and archive a lot of medical information - every medical journal, symptom and worldwide treatment and response case study - faster than any human.

Google’s Deep mind Health works in partnership with physicians, researchers and patients to address real-world health issues. The tech combines machine learning solutions with systems neuroscience for creating robust general-purpose learning algorithms in neural networks that imitate the working of the human brain.

Decision Making:

Improving care requires aligning large health data with appropriate and timely decisions, and assessment analysis can support clinical decision-making and action, as well as prioritize managerial tasks.

AI is gaining a foothold in different areas of healthcare, including identifying patients at the risk of developing a condition or observing it getting worse due to the surroundings of the patient, genetic structure, lifestyle or other factors.

Treatment:

AI can help physicians take a more comprehensive approach to disease management, beyond scanning health records to assist providers in identifying chronically ill individuals at risk for a negative episode. Better care plans can be coordinated and help patients manage their long-term care and adapt accordingly.

Robots have been used in the medical industry for over 3 decades. They range from simple working laboratory robots to handle small tasks to the most complex surgical robots that assist surgeons during a surgical procedure or perform surgeries themselves. Other than surgical procedures, robots are used in laboratories and hospitals to support people with physical therapy, repetitive tasks, chronic conditions, and rehabilitation.

Life Care:

Humans today are living much longer than previous generations, and as we get closer to life, we die differently and slowly from conditions such as dementia, heart failure and osteoporosis. It is also a stage of life that often suffers from loneliness.

Robots can make revolutionary changes throughout their lives, helping people stay independent longer, reducing the need for hospitalization and care homes. AI combined with advances in humanoid design allowed 'conversations' and other social interactions with individuals to move robots further and sharpen ageing brains.

Conclusion:

There are endless opportunities to leverage AI to deploy efficient, more precise, and impactful interventions in patient care, from risk management to radiology and cancer to chronic diseases. AI offers enormous advantages over traditional clinic decision-making techniques and analytic. If you want to learn how to leverage the power of AI in healthcare, you can consult the experts of Xavor Corporation. At Xavor, we help healthcare providers to innovate different healthcare technological solutions using AI for the betterment of people.