Natural language processing for smart healthcare
Smart healthcare has achieved significant progress in recent years. Emerging artificial
intelligence (AI) technologies enable various smart applications across various healthcare …
intelligence (AI) technologies enable various smart applications across various healthcare …
[HTML][HTML] Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis
Introduction Despite the proliferation of Artificial Intelligence (AI) technology over the last
decade, clinician, patient, and public perceptions of its use in healthcare raise a number of …
decade, clinician, patient, and public perceptions of its use in healthcare raise a number of …
Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review
The growing and aging of the world population have driven the shortage of medical
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …
Afrispeech-200: Pan-african accented speech dataset for clinical and general domain asr
Africa has a very poor doctor-to-patient ratio. At very busy clinics, doctors could see 30+
patients per day—a heavy patient burden compared with developed countries—but …
patients per day—a heavy patient burden compared with developed countries—but …
Inclusion of clinicians in the development and evaluation of clinical artificial intelligence tools: a systematic literature review
The application of machine learning (ML) and artificial intelligence (AI) in healthcare
domains has received much attention in recent years, yet significant questions remain about …
domains has received much attention in recent years, yet significant questions remain about …
Physician use of speech recognition versus typing in clinical documentation: A controlled observational study
SV Blackley, VD Schubert, FR Goss, W Al Assad… - International Journal of …, 2020 - Elsevier
Importance Speech recognition (SR) is increasingly used directly by clinicians for electronic
health record (EHR) documentation. Its usability and effect on quality and efficiency versus …
health record (EHR) documentation. Its usability and effect on quality and efficiency versus …
Building the evidence-base to reduce electronic health record–related clinician burden
C Dymek, B Kim, GB Melton, TH Payne… - Journal of the …, 2021 - academic.oup.com
Clinicians face competing pressures of being clinically productive while using imperfect
electronic health record (EHR) systems and maximizing face-to-face time with patients. EHR …
electronic health record (EHR) systems and maximizing face-to-face time with patients. EHR …
Performance disparities between accents in automatic speech recognition (student abstract)
A DiChristofano, H Shuster, S Chandra… - Proceedings of the AAAI …, 2023 - ojs.aaai.org
In this work, we expand the discussion of bias in Automatic Speech Recognition (ASR)
through a large-scale audit. Using a large and global data set of speech, we perform an …
through a large-scale audit. Using a large and global data set of speech, we perform an …
Applications of natural language processing in ophthalmology: present and future
Advances in technology, including novel ophthalmic imaging devices and adoption of the
electronic health record (EHR), have resulted in significantly increased data available for …
electronic health record (EHR), have resulted in significantly increased data available for …
The synergy between a humanoid robot and whisper: bridging a gap in education
Students may encounter problems concentrating during a lecture due to various reasons,
which can be related to the educator's accent or the student's auditory difficulties. This may …
which can be related to the educator's accent or the student's auditory difficulties. This may …