Artificial Intelligence in Medicine

AI in medicine

AI in medicine and healthcare has been a trending topic in recent years. Besides that, there is a way of the great potential within the appliance of Artificial Intelligence in medicine

How AI is used in medicine used?

There is already an unbelievable amount of technology and automation in play in medicine, whether we realize it or not medical records are digitized, appointments will be scheduled online, patients can register to health centers or clinics using their phones or computers. As technology usage has increased altogether areas of life, so too has it quietly changed the ways within which we seek medical aid.
rGoogle released an open-source version of DeepVariant, a tool for artificial intelligence in medicine. Healthcare IT News also notes that alongside Google, rivals IBM and Microsoft are getting in the healthcare IT space speculatively that Apple and Amazon will soon do the identical.

These are the top applications of AI in Medicine :

1. Improved Drug Development

Developing drugs is typically an expensive process. Most of the processes involved in the development of drugs could be more efficient with Artificial Intelligence. It has the potential to reduce labor and save investments it is due to artificial intelligence in medicine.

2.Modified Gene Editing

Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR), specifically the CRISPR-Cas9 system for gene editing, could be a big leap forward in our ability to edit DNA affordably – and precisely, sort of a surgeon.
This technique relies on short guide RNAs (sgRNA) to focus on and edit a particular location on the DNA. But the guide RNA can fit multiple DNA locations – which can cause unintended side effects (off-target effects). The careful selection of guide RNA with the smallest amount of dangerous side effects could be a major bottleneck within the application of the CRISPR system.
Artificial intelligence in medicine is proven to provide the simplest results when it involves predicting the degree of both guide-target interactions and off-target effects for a given sgRNA. this may significantly speed up the event of guide RNA for each region of human DNA.

3. Personalized AI medical APP

Apps like Babylon within the united kingdom are examples of artificial intelligence in medicine. Users report their symptoms to the appliance, which uses voice recognition to match it with a database of illnesses.
It is boon for users like maturity those that have to opt for regular consulting. Considering the user’s anamnesis, Babylon offers recommended action.


Artificial Intelligence in medicine is helping efficiently diagnose disease and develop drugs. But this can be just the start. The more we digitalize our medical data, the more we will use artificial intelligence to assist us to find valuable patterns – patterns we will use to create accurate, cost-effective decisions in complex analytical processes. Thus Artificial Intelligence in Medicine will be a revolutionizing medical industry in mere future.

AI in Medicine

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