Artificial intelligence in healthcare and its’ potential to truly transform the industry is now well-known to all organisations and businesses globally. With hardware improvements and more advanced algorithms, it just gets better every day, so much so, that it can easily learn, predict, and advise based on huge amounts of data today. The potential of Artificial intelligence in healthcare is known to all and that has led to some big investments from organisations and healthcare bodies across the world. When it comes to healthcare, the power of AI and machine learning to interpret data and produce meaningful insights can be used to transform various aspects. One such aspect is the treatment of Cancer. Artificial Intelligence can really catapult cancer treatment to the next level.
The relevance of AI in Oncology
AI certainly has the potential to make lives easy for oncologists. Let’s find out the relevance existing between the both first. Oncologists for the longest time have been trying to define small subsets of patients suffering from cancer, who can be benefitted from a particular treatment. But, targeted therapies have achieved very limited success. Doctors, and other care givers at this point of time are bundled with huge data that is sourcing out of genomics, imaging, past treatments, etc. This is where Artificial Intelligence can make all the difference. AI has the power to crunch the available data in order to predict the prognosis of patients and also provide curated advice to doctors about various things such as personalised medicine, clinical trials, etc.
AI – The modern-day diagnostic tool
Artificial Intelligence is already being rolled out by many companies as mainstay solution for various use cases such as early stage diagnosis to prognosis. This helps in eliminating a lot of complexities, especially if you are a patient party. For instance, very few percentage of women suffering from breast cancer, who are called back again after initial screening actually are sick. This not just increases the total expenditure for patients, but also wastes their valuable time. Today, Medical Imaging, powered by Artificial Intelligence helps deal with this issue by performing automated mammography analysis.
That’s not all. AI is also a significant boon for pathologists. In comparison to human specialist, AI considerably reduces the error rate of diagnosis. Mention must be made about how Google is developing a microscope powered by Augmented Reality that makes use of artificial intelligence software to help pathologists detect cancer, and in a way that is fast and also hassle-free. This also reduces a lot of time consuming processes such as manual cell counting. AI certainly is the go-to diagnostic tool in today’s modern healthcare world.
Artificial Intelligence in healthcare also has the potential to make more contributions in healthcare. For instance, personalised medicine is something that organisations across the globe recognise the importance of. AI enables precision medicine, reduces trial costs, and overall, produces highly actionable and meaningful insights that enables care-providers to give their patients high quality service and care, in the most cost-effective and time-effective way.