The Role of Virtual Assistants With Coronavirus Diagnosis and Treatment

Mehta, Vaishali; Rammohan, Rajmohan; Sanivarapu, Raghavendra; Sayedy, Najia; Akella, Jagadish

doi:10.1016/j.chest.2020.08.1070

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…AI uses natural language processing which is capable to answer any questions related to COVID-19 (Cury et al 2021), by providing authentic and true information, giving clear recommendations, and offer multilingual virtual assistance, monitoring symptoms, and also recommending whether any people need to get hospitalize or self-quarantine at home. Apple Siri and Amazon Alexa respond at an advanced level to two out of seven questions related to "coronavirus" or "COVID-19" (Mehta et al 2020).…”

Section: Ai In Covid-19mentioning

confidence: 99%

Applications of Artificial Intelligence in Healthcare

2022

View full text Add to dashboard Cite

Now in these days, artificial intelligence (AI) is playing a major role in healthcare. It has many applications in diagnosis, robotic surgeries, and research, powered by the growing availability of healthcare facts and brisk improvement of analytical techniques. AI is launched in such a way that it has similar knowledge as a human but is more efficient. A robot has the same expertise as a surgeon; even if it takes a longer time for surgery, its sutures, precision, and uniformity are far better than the surgeon, leading to fewer chances of failure. To make all these things possible, AI needs some sets of algorithms. In Artificial Intelligence, there are two key categories: machine learning (ML) and natural language processing (NPL), both of which are necessary to achieve practically any aim in healthcare. The goal of this study is to keep track of current advancements in science, understand technological availability, recognize the enormous power of AI in healthcare, and encourage scientists to use AI in their related fields of research. Discoveries and advancements will continue to push the AI frontier and expand the scope of its applications, with rapid developments expected in the future.

show abstract

Section: Ai In Covid-19mentioning

confidence: 99%

Applications of Artificial Intelligence in Healthcare

2022

View full text Add to dashboard Cite

show abstract

“…Furthermore, a study examining accuracy of Siri when providing information on health-specific information, Siri provided accurate responses 25% of the time when asked questions on COVID-19 vaccination information, with approximately 33% appropriate relevance to specific user questions (Figueiredo et al, 2022). Additionally, when asked questions related to COVID-19 symptoms containing an advanced level of vocabulary, Siri responded inaccurately to approximately 71% of user questions (Mehta et al, 2020). In comparison, Amazon Alexa also achieved 71% accuracy, while Microsoft Cortana and Google Assistant both only provided general information related to COVID-19 and did not indicate a list of typical COVID-19 symptoms to participants.…”

Section: Sirimentioning

confidence: 99%

Talking With Siri: Analyzing and Detecting Error Patterns in Speech Recognition Technology

Steger

View full text Add to dashboard Cite

Voice assistants are a subset of speech recognition technology that continue to exponentially improve in terms of their accessibility and functionality in response to user voice commands. The current research examined the effects of speaker accent, speech quality, and speech rate on syntactic and semantic interpretation accuracy for the voice assistant Siri. 60 adult participants read standardized command phrases to Siri to determine syntactic and semantic interpretation accuracy differences between Canadian and non-Canadian accents, masked and unmasked speaking, and slow, moderate, and fast rates of speech. Analyses demonstrated that poorer speech quality inputs resulted in significantly lower syntactic and semantic accuracy interpretation scores. Furthermore, non-Canadian accents generated significantly lower semantic accuracy interpretation scores. Accuracy measurements for speech rate and speaker accent (syntactic accuracy) did not support previous research findings. These results signify the importance of additional algorithmic training improvements and continuing to investigate influential factors on voice assistant response accuracy.

show abstract

The Role of Virtual Assistants With Coronavirus Diagnosis and Treatment

Cited by 2 publications

References 0 publications

Applications of Artificial Intelligence in Healthcare

Applications of Artificial Intelligence in Healthcare

Talking With Siri: Analyzing and Detecting Error Patterns in Speech Recognition Technology

Contact Info

Product

Resources

About