The most important part of medical care is the ‘human’ touch. With the onset of advanced technologies in medicine, the thought of AI creates anxiety in patients and even in those working in the field. People don’t want to feel overshadowed and seconded in relevance to the technology that may decide their well-being.
There are several types of AI already used by health providers and biotech companies. Applications range from diagnosis and treatment recommendations to patient engagement and observation, as well as administrative activities. Even though AI can perform healthcare tasks equal to or better than humans, factors like empathy and the ‘human touch’ contain roadblocks in implementing many AI technologies in the field. OTO is building innovative voice AI technology to bridge these issues.
The goal of AI is to achieve human or superhuman performance on various cognitive tasks; one of which is being able to make sense of human language.
Deep neural network models allow computers to learn from human language, experiences, and skills without human involvement.
In healthcare, the main applications of AI have involved understanding and classification of clinical documentation and published research. These systems analyze clinical notes on patients, prepare reports, transcribe recorded patient interactions, and conduct conversational AI. But this is only the surface.
The founders of OTO, Teo Borschberg CEO, and Nicolas Perony CTO, first focused primarily on call centers. Key human behaviors and sounds in real-time provided a rich acoustic map of voice data. The very diverse data sets in terms of quality, language, and content enabled them to develop the DeepTone™ engine. This AI technology analyzes human emotions and behaviors in voice, transforming data into usable and actionable information.
With technology like DeepTone™, doctors can help patients with chronic pain and caregivers gain the ability to lend support to the elderly by allowing them to live independently. AI can even make psychological evaluations by capturing mental health issues during interviews and even help in the early detection of Alzheimer’s based on speech patterns.
For example, the technology created by OTO allows speech analytics placed on a mobile app to keep sensitive data private while giving rich voice intelligence in Alzheimer’s detection and progression.
AI helps create healthier better lives and lower costs due to better accuracy in diagnosis and clearer predictions in the treatment plan. Try OTO’s demo today and unlock your data potential.