Literature DB >> 30907920

Automatically Charting Symptoms From Patient-Physician Conversations Using Machine Learning.

Alvin Rajkomar1, Anjuli Kannan1, Kai Chen1, Laura Vardoulakis1, Katherine Chou1, Claire Cui1, Jeffrey Dean1.   

Abstract

Entities:  

Mesh：

Year:  2019        PMID： 30907920      PMCID： PMC6547250          DOI： 10.1001/jamainternmed.2018.8558

Source DB:  PubMed          Journal:  JAMA Intern Med        ISSN： 2168-6106            Impact factor:   21.873


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  1 in total

1.  What This Computer Needs Is a Physician: Humanism and Artificial Intelligence.

Authors:  Abraham Verghese; Nigam H Shah; Robert A Harrington
Journal:  JAMA       Date:  2018-01-02       Impact factor: 56.272
  1 in total
  12 in total

1.  Impact of digitally acquired peer diagnostic input on diagnostic confidence in outpatient cases: A pragmatic randomized trial.

Authors:  Elaine C Khoong; Valy Fontil; Natalie A Rivadeneira; Mekhala Hoskote; Shantanu Nundy; Courtney R Lyles; Urmimala Sarkar
Journal:  J Am Med Inform Assoc       Date:  2021-03-01       Impact factor: 4.497

Review 2.  Shifting machine learning for healthcare from development to deployment and from models to data.

Authors:  Angela Zhang; Lei Xing; James Zou; Joseph C Wu
Journal:  Nat Biomed Eng       Date:  2022-07-04       Impact factor: 25.671

3.  Natural Language Processing Applications in the Clinical Neurosciences: A Machine Learning Augmented Systematic Review.

Authors:  Quinlan D Buchlak; Nazanin Esmaili; Christine Bennett; Farrokh Farrokhi
Journal:  Acta Neurochir Suppl       Date:  2022

4.  A dataset of simulated patient-physician medical interviews with a focus on respiratory cases.

Authors:  Faiha Fareez; Tishya Parikh; Christopher Wavell; Saba Shahab; Meghan Chevalier; Scott Good; Isabella De Blasi; Rafik Rhouma; Christopher McMahon; Jean-Paul Lam; Thomas Lo; Christopher W Smith
Journal:  Sci Data       Date:  2022-06-16       Impact factor: 8.501

5.  AI-enhanced solutions during COVID-19: Current trends and future innovations.

Authors:  Faisal A Nawaz; Abdul Rahman Khan; Thomas Boillat
Journal:  Ann Med Surg (Lond)       Date:  2022-07-13

6.  How does medical scribes' work inform development of speech-based clinical documentation technologies? A systematic review.

Authors:  Brian D Tran; Yunan Chen; Songzi Liu; Kai Zheng
Journal:  J Am Med Inform Assoc       Date:  2020-05-01       Impact factor: 4.497

7.  Assessing the accuracy of automatic speech recognition for psychotherapy.

Authors:  Adam S Miner; Albert Haque; Jason A Fries; Scott L Fleming; Denise E Wilfley; G Terence Wilson; Arnold Milstein; Dan Jurafsky; Bruce A Arnow; W Stewart Agras; Li Fei-Fei; Nigam H Shah
Journal:  NPJ Digit Med       Date:  2020-06-03

8.  Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions.

Authors:  Jihyun Park; Dimitrios Kotzias; Patty Kuo; Robert L Logan Iv; Kritzia Merced; Sameer Singh; Michael Tanana; Efi Karra Taniskidou; Jennifer Elston Lafata; David C Atkins; Ming Tai-Seale; Zac E Imel; Padhraic Smyth
Journal:  J Am Med Inform Assoc       Date:  2019-12-01       Impact factor: 4.497

Review 9.  Challenges of developing a digital scribe to reduce clinical documentation burden.

Authors:  Juan C Quiroz; Liliana Laranjo; Ahmet Baki Kocaballi; Shlomo Berkovsky; Dana Rezazadegan; Enrico Coiera
Journal:  NPJ Digit Med       Date:  2019-11-22

10.  Key challenges for delivering clinical impact with artificial intelligence.

Authors:  Christopher J Kelly; Alan Karthikesalingam; Mustafa Suleyman; Greg Corrado; Dominic King
Journal:  BMC Med       Date:  2019-10-29       Impact factor: 8.775
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