Artificial intelligence in clinical and genomic diagnostics

R Dias, A Torkamani - Genome medicine, 2019 - Springer
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 …

Natural language processing for smart healthcare

B Zhou, G Yang, Z Shi, S Ma - IEEE Reviews in Biomedical …, 2022 - ieeexplore.ieee.org
Smart healthcare has achieved significant progress in recent years. Emerging artificial
intelligence (AI) technologies enable various smart applications across various healthcare …

Speech technology for healthcare: Opportunities, challenges, and state of the art

S Latif, J Qadir, A Qayyum, M Usama… - IEEE Reviews in …, 2020 - ieeexplore.ieee.org
Speech technology is not appropriately explored even though modern advances in speech
technology—especially those driven by deep learning (DL) technology—offer …

Challenges of develo** a digital scribe to reduce clinical documentation burden

JC Quiroz, L Laranjo, AB Kocaballi, S Berkovsky… - NPJ digital …, 2019 - nature.com
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 …

Recognizing overlapped speech in meetings: A multichannel separation approach using neural networks

T Yoshioka, H Erdogan, Z Chen, X **ao… - arxiv preprint arxiv …, 2018 - arxiv.org
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 …

Speech recognition for clinical documentation from 1990 to 2018: a systematic review

SV Blackley, J Huynh, L Wang… - Journal of the …, 2019 - academic.oup.com
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 …

Efficient automatic punctuation restoration using bidirectional transformers with robust inference

M Courtland, A Faulkner… - Proceedings of the 17th …, 2020 - aclanthology.org
Though people rarely speak in complete sentences, punctuation confers many benefits to
the readers of transcribed speech. Unfortunately, most ASR systems do not produce …

Speech recognition for medical conversations

CC Chiu, A Tripathi, K Chou, C Co, N Jaitly… - arxiv preprint arxiv …, 2017 - arxiv.org
In this work we explored building automatic speech recognition models for transcribing
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 …

[HTML][HTML] Applications of machine learning using electronic medical records in spine surgery

JT Schwartz, M Gao, EA Geng, KS Mody, CM Mikhail… - Neurospine, 2019 - ncbi.nlm.nih.gov
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 …