The Chirp Issue #2
Health care professionals are increasingly turning to AI tools, seeking more efficient, data-driven, and cost-effective processes. But those who don’t understand the development and execution of AI can be hesitant to use it in practice. This mistrust limits the current and future potential of AI tools, so what can be done to strengthen confidence in them?
Read on to hear what industry leaders think!
Trusting AI in Health Care
A good first step to trusting AI is to acknowledge that this technology is not inherently good or bad. It is a tool, and its application can lead to positive or negative results depending on the model. Learn whether to trust an AI system by asking questions about the data, understanding how humans are kept in the loop, and finding out whether AI is being used to improve the AI system.
AI is capable of transforming health care practices, but Clinicians need to be the first to accept this technology before patients will accept it as well. This peer-reviewed article examines a number of personal and systematic factors that influence trust in AI. Read on to learn how clinicians can build trust in AI systems and why it matters.
We already trust and use machines in medical settings, but AI tools differ because they introduce adaptive algorithms that are constantly improving. These improved systems don’t mean an emotionless machine is providing the care though. Healthcare providers remain essential to making a treatment plan, providing empathy, and overseeing the algorithm.
New at Canary Speech
Poster presented at Annual Huntington’s Study Group
Beth Israel Medical Center presented findings of its joint study with Canary Speech in its poster: “Audio Analysis of Acoustic and Linguistic Features in Huntington’s Disease.” In this study, Canary Speech’s model was successfully trained to identify vocal biomarkers of HD. Read more here.
Canary Speech welcomes new employee Raymond Brueckner, PhD
We are excited to announce that Ray has been hired as a Senior Principal Research Scientist. His background in machine learning and speech make him an excellent fit with Canary’s research team. Read more about Ray here.
Want to learn more about how our API helps build engaging virtual health environments by replacing subjective measurements with objective, actionable results in real-time? Contact us: firstname.lastname@example.org, (801) 369-8408