Literature DB >> 31842204

Should Health Care Demand Interpretable Artificial Intelligence or Accept "Black Box" Medicine?

Fei Wang1, Rainu Kaushal2, Dhruv Khullar2.   

Abstract

Year:  2019        PMID： 31842204     DOI： 10.7326/M19-2548

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN： 0003-4819            Impact factor:   25.391


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  36 in total

1.  Deep neural network analyses of spirometry for structural phenotyping of chronic obstructive pulmonary disease.

Authors:  Sandeep Bodduluri; Arie Nakhmani; Joseph M Reinhardt; Carla G Wilson; Merry-Lynn McDonald; Ramaraju Rudraraju; Byron C Jaeger; Nirav R Bhakta; Peter J Castaldi; Frank C Sciurba; Chengcui Zhang; Purushotham V Bangalore; Surya P Bhatt
Journal:  JCI Insight       Date:  2020-07-09

2.  Analyzing Description, User Understanding and Expectations of AI in Mobile Health Applications.

Authors:  Zhaoyuan Su; Mayara Costa Figueiredo; Jueun Jo; Kai Zheng; Yunan Chen
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

3.  Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review.

Authors:  Seyedeh Neelufar Payrovnaziri; Zhaoyi Chen; Pablo Rengifo-Moreno; Tim Miller; Jiang Bian; Jonathan H Chen; Xiuwen Liu; Zhe He
Journal:  J Am Med Inform Assoc       Date:  2020-07-01       Impact factor: 4.497

4.  A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre.

Authors:  Carol Y Cheung; Dejiang Xu; Ching-Yu Cheng; Charumathi Sabanayagam; Yih-Chung Tham; Marco Yu; Tyler Hyungtaek Rim; Chew Yian Chai; Bamini Gopinath; Paul Mitchell; Richie Poulton; Terrie E Moffitt; Avshalom Caspi; Jason C Yam; Clement C Tham; Jost B Jonas; Ya Xing Wang; Su Jeong Song; Louise M Burrell; Omar Farouque; Ling Jun Li; Gavin Tan; Daniel S W Ting; Wynne Hsu; Mong Li Lee; Tien Y Wong
Journal:  Nat Biomed Eng       Date:  2020-10-12       Impact factor: 25.671

Review 5.  Recent advances in biomedical literature mining.

Authors:  Sendong Zhao; Chang Su; Zhiyong Lu; Fei Wang
Journal:  Brief Bioinform       Date:  2021-05-20       Impact factor: 11.622

6.  Deep propensity network using a sparse autoencoder for estimation of treatment effects.

Authors:  Shantanu Ghosh; Jiang Bian; Yi Guo; Mattia Prosperi
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

7.  Predicting Type 1 Diabetes Onset using Novel Survival Analysis with Biomarker Ontology.

Authors:  Ying Li; Bin Liu; Vibha Anand; Jessica L Dunne; Markus Lundgren; Kenney Ng; Marian Rewers; Riitta Veijola; Mohamed Ghalwash
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

8.  Importance-aware personalized learning for early risk prediction using static and dynamic health data.

Authors:  Qingxiong Tan; Mang Ye; Andy Jinhua Ma; Terry Cheuk-Fung Yip; Grace Lai-Hung Wong; Pong C Yuen
Journal:  J Am Med Inform Assoc       Date:  2021-03-18       Impact factor: 4.497

9.  Trust in AI: why we should be designing for APPROPRIATE reliance.

Authors:  Natalie C Benda; Laurie L Novak; Carrie Reale; Jessica S Ancker
Journal:  J Am Med Inform Assoc       Date:  2021-12-28       Impact factor: 4.497

10.  Deep learning detects and visualizes bleeding events in electronic health records.

Authors:  Jannik S Pedersen; Martin S Laursen; Thiusius Rajeeth Savarimuthu; Rasmus Søgaard Hansen; Anne Bryde Alnor; Kristian Voss Bjerre; Ina Mathilde Kjær; Charlotte Gils; Anne-Sofie Faarvang Thorsen; Eline Sandvig Andersen; Cathrine Brødsgaard Nielsen; Lou-Ann Christensen Andersen; Søren Andreas Just; Pernille Just Vinholt
Journal:  Res Pract Thromb Haemost       Date:  2021-05-05
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