While Augnito comes preloaded with the entire language of medicine, doctors can personalise it by adding new diseases and drugs, in addition to patient or city names. Augnito an advanced medical Voice AI solution is rolling out key updates to enable doctors to add new words to their personal vocabulary and get them instantly recognised during medical dictation. These features are a first-in-the-category and are of immense value to doctors working in high-pressure setups such as hospitals and clinics by saving their time and effort, a company release stated.

The AI and technology upgrades allow doctors to choose their medical speciality and even spelling preferences to set their own speech model. Add to this the capability to automatically adjust microphone volumes and the ability to suppress background noise levels at the tap of a button, which are incredibly useful, especially in zones like busy clinics and hospitals in this covid era.

The updates are based on two principles – to provide fantastic value-add when it comes to supporting doctors with high-quality medical reports, and to take AI to the next level of hyper-personalisation so that it can provide the best support in real-time. The aim is to give more control to the doctors on how the AI works better for them for an unmatched user experience.

“While Augnito comes pre-loaded with the entire language of medicine, in healthcare we always come across new diseases getting discovered, new drugs being introduced and proper nouns like patient names, city or a hospital name which can be personalized to every individual doctor. Augnito now gives the power to train the AI real-time to understand this custom vocabulary of individual doctors to not only make the process faster but more aligned to each doctor’s thought process,” says Spriha Biswas,  Chief Product Officer, Augnito.

According to Statista, the global speech recognition market is poised to grow to US $ 27 bn by 2026 from the current US $ 11 bn and the time is ripe for research and advancements, new discoveries and innovative  transformations in the health sector.