If you’ve ever gone to the doctor and received a prescription that was written by hand, it seems like no amount of squinting could make the letters more legible. In fact, physicians are infamous for having poor penmanship.
However, Google will soon make the challenging chore of deciphering a doctor’s handwriting straightforward and uncomplicated. The software business is developing a machine learning (ML) and artificial intelligence (AI) model that can recognise and translate difficult-to-read handwritten prescriptions.
The search engine giant revealed that it was collaborating with pharmacists to figure out how to decipher the disorganised handwritten medical notes at the Google in India event in Delhi.
Prescriptions are written by hand, are challenging to read, and are challenging to recall, according to Manish Gupta, director of research for Google India. Magicians are pharmacists. It is a difficult procedure. For the purpose of handling prescriptions, we have developed AI capabilities.
When will the release of this feature occur?
During the occasion, the feature was demonstrated. It is currently a research prototype and is not yet accessible to the general public. According to the demonstration, users can upload or take a picture of their prescription to the tool for processing. Medication information will be emphasised in the note.
It should be emphasised that the feature—which has no set debut date—is a component of Google Lens, a Google AI tool that can translate languages and identify various objects and is accessible from the Google app’s search bar.
India, which has more than a half a billion consumers, must be regarded as a crucial market for Google at this point. There is a probability that the technology will be adopted in other areas where handwritten prescriptions are common if the aforementioned AI model proves to be successful.
Anything we come up with here, in my opinion, will be applicable to many different places of the world, not just India. India is the primary driver of a lot of work, but not all of it. According to Gupta, there are several projects that, if started in India, might spread to many other countries.
