Artificial intelligence in clinical and genomic diagnostics
Artificial intelligence (AI) is the development of computer systems that are able to perform
tasks that normally require human intelligence. Advances in AI software and hardware …
tasks that normally require human intelligence. Advances in AI software and hardware …
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 …
Speech technology for healthcare: Opportunities, challenges, and state of the art
Speech technology is not appropriately explored even though modern advances in speech
technology—especially those driven by deep learning (DL) technology—offer …
technology—especially those driven by deep learning (DL) technology—offer …
Challenges of develo** a digital scribe to reduce clinical documentation burden
Clinicians spend a large amount of time on clinical documentation of patient encounters,
often impacting quality of care and clinician satisfaction, and causing physician burnout …
often impacting quality of care and clinician satisfaction, and causing physician burnout …
Recognizing overlapped speech in meetings: A multichannel separation approach using neural networks
The goal of this work is to develop a meeting transcription system that can recognize speech
even when utterances of different speakers are overlapped. While speech overlaps have …
even when utterances of different speakers are overlapped. While speech overlaps have …
Speech recognition for clinical documentation from 1990 to 2018: a systematic review
Objective The study sought to review recent literature regarding use of speech recognition
(SR) technology for clinical documentation and to understand the impact of SR on document …
(SR) technology for clinical documentation and to understand the impact of SR on document …
Efficient automatic punctuation restoration using bidirectional transformers with robust inference
Though people rarely speak in complete sentences, punctuation confers many benefits to
the readers of transcribed speech. Unfortunately, most ASR systems do not produce …
the readers of transcribed speech. Unfortunately, most ASR systems do not produce …
Speech recognition for medical conversations
In this work we explored building automatic speech recognition models for transcribing
doctor patient conversation. We collected a large scale dataset of clinical conversations …
doctor patient conversation. We collected a large scale dataset of clinical conversations …
An automated medical scribe for documenting clinical encounters
G Finley, E Edwards, A Robinson… - Proceedings of the …, 2018 - aclanthology.org
A medical scribe is a clinical professional who charts patient–physician encounters in real
time, relieving physicians of most of their administrative burden and substantially increasing …
time, relieving physicians of most of their administrative burden and substantially increasing …
[HTML][HTML] Applications of machine learning using electronic medical records in spine surgery
Developments in machine learning in recent years have precipitated a surge in research on
the applications of artificial intelligence within medicine. Machine learning algorithms are …
the applications of artificial intelligence within medicine. Machine learning algorithms are …