AI in healthcare accelerated clinical decision making and transformed the way healthcare is being delivered. AI technologies are well suited to analyze this data and uncover patterns and insights that humans could not find on their own

Here’s we are going to explain some of the use cases of AI in healthcare

• Medical Imaging - AI can interpret medical imaging like CT scan and MRI and helping to detect diseases which are not so easy to be diagnosed by doctors

• NLP - While the consultant is talking to patients, a complete visit summary can be created using NLP which saves a lot of time of healthcare staff in writing those manually.

• Prescription error - AI can give alert while making any mistake in writing a prescription for a patient based on their medical history. Sometimes a patient has some allergy with any medicine and this information gets missed by the physician. In this case the system can give you an alert.

• Analyzing and presenting medical history - AI has made it easy for doctors to interpret medical history for a patient. Earlier it was a very difficult process to go through all past medical data to understand patient medical history.

• Clinical trials - Clinical trials can use AI functionality to accelerate searches and validation of medical coding, which can help reduce the cycle time to start, amend, and manage clinical studies.