AI or artificial intelligence is everywhere and no industry is left untouched from it. If we put that what is AI in layman terms, it is a technology which is made to think and provide a solution to a question. AI has become popular because, with this, it is possible to automate all the tasks that are considered, dull, boring and monotonous, and at the same time are time consuming.
This blog will help you figure out that what is the role of AI in healthcare, and how it is helping in transform the healthcare sector, be it for patients or healthcare providers.
As all the things progress with time so has AI. With every passing day it is getting closer to the work that can be performed by humans. This is seen in the healthcare field as well. For starters the people who want to stay in the prime of their health, and do not want to see the doctor that often can take the help of AI.
Tech apps boost healthier behavior in people and help with the active management of a healthy lifestyle. It lets the people control of health and wellness.
As it is already mentioned that AI does not just help one party, but both parties, patients and medics. With providing the ability to care for their own health and wellness to patients, AI also helps the doctors to better understand the daily needs of the patients, which they nurse. And, on the back of that understanding, better feedback can be given, with respect to what can be done by patients in order to stay hale and healthy.
As far as the disease detection part is concerned, AI has already shown promising results for the diagnosis of diseases, such as cancer in their early stages. As per the American Cancer Society, a high proportion of mammograms produce false results, leading 50% of the healthy women being diagnosed with some sort of cancer. The usage of AI is allowing review and translation of mammograms considerably fast with 99% accuracy, decreasing the requirement for needless biopsies.
With the use of consumer wearables and other devises, with the integration of AI has brought about an early-stage detection of heat diseases, allowing doctor to take control of any potentially fatal issues, before the situation goes out of control.
AI helps healthcare organizations apply cognitive tech to unlock a lot of health data and help to make the process of diagnosis, faster and efficient. AI has the potential to store more medical info, symptom, and treatment study than humans.
Google’s DeepMind Health has partnered with doctors, researchers and patients for solving healthcare issues. AI combines ML and systems neuroscience for building powerful learning algorithms into neural networks that imitate the brain of humans.
If the care is to be improved, there should be a perfect alignment of big health data and timely decisions, and predictive analytics can help to influence the clinical decisions for better along with prioritizing administrative tasks.
With the use of pattern recognition for identifying patients at risk of developing a condition, or seeing it worsen as a result of environmental, lifestyle, genomic, or other factors is another area where AI is making a mark in healthcare.
AI can help the doctors to undertake a more comprehensive approach for managing a disease, better coordinate plans and help patients to manage and comply with their treatment programmes.
The use of robots in medicine is becoming popular in the recent times. They range from simple lab robots to complex surgical robots able to support a human surgeon or to do surgeries on their own. Apart from surgery, they are also employed in used in labs or hospitals for repetitive tasks, in rehabilitation, physical therapy and supporting those with chronic conditions.
Biomedical research is a costly affair to say the least. As per the California Biomedical Research Association, it on an average takes twelve years for a drug to reach a patient, after competing all the researchers. Out of all the drugs sent for pre-clinical trials, only some make it to human trials, and even fewer make a good fit for human consumption.
Furthermore, the cost of the entire drug development process is quite high for the pharma companies. Research and drug discovery is among the recent applications for AI in healthcare. By directing the state-of-the-art advances in AI to rationalize the drug discovery and drug repurposing procedures there is a possibility to considerably cut their costs, and also the time taken in their marketing.
Healthcare is a profession in which there is a need of practical training to go with all the theoretical knowledge required to become a certified medical practitioner or for that matter, a caregiver as well. AI allows the people under-training to go through naturalistic simulations. The beginning of natural speech and the capability of an AI to draw rapidly on a large number of scenarios. And the training programme can learn from preceding responses from the trainee, which means that the challenges can be frequently adjusted for meeting the learning needs. Training, with the help of AI can be done anywhere; on a smartphone, quick catch-up sessions, post a tricky case in a clinic or while travelling is also possible.
By going through this blog, it leaves us with absolutely no confusion regarding the value that is possessed by AI in healthcare, and what are the potentials on top of that. With precision medicine becoming increasingly popular in the world of healthcare, and with the growing requirement of affordable healthcare, the demand for AI in healthcare is on the rise. This trend will continue to grow in the years to come as well.
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