Literature DB >> 33381619

Session Intro: ARTIFICIAL INTELLIGENCE FOR ENHANCING CLINICAL MEDICINE.

Roxana Daneshjou1, Lukasz Kidzinski2, Olga Afanasiev3, Jonathan H Chen4.   

Abstract

Machine learning and deep learning have revolutionized our ability to analyze and find patterns in multi-dimensional and intricate datasets. As such, these methods have the ability to help us decipher the large volume of data generated within healthcare. These tools hold the promise of enhancing patient care through several modalities, including clinical decision support, monitoring tools, image interpretation, and triaging capabilities. For the 2020 Pacific Symposium on Biocomputing's session on Artificial Intelligence for Enhancing Clinical Medicine, we highlight novel research on the application of artificial intelligence to solve problems within the field of medicine.

Keywords:  artificial intelligence; augmented clinical decision making; bioinformatics; machine learning

Year:  2020        PMID： 33381619      PMCID： PMC7771513     

Source DB:  PubMed          Journal:  Pac Symp Biocomput        ISSN： 2335-6928


  14 in total

1.  Multilevel Self-Attention Model and its Use on Medical Risk Prediction.

Authors:  Xianlong Zeng; Yunyi Feng; Soheil Moosavinasab; Deborah Lin; Simon Lin; Chang Liu
Journal:  Pac Symp Biocomput       Date:  2020

2.  The coming of age of artificial intelligence in medicine.

Authors:  Vimla L Patel; Edward H Shortliffe; Mario Stefanelli; Peter Szolovits; Michael R Berthold; Riccardo Bellazzi; Ameen Abu-Hanna
Journal:  Artif Intell Med       Date:  2008-09-13       Impact factor: 5.326

3.  Identifying Transitional High Cost Users from Unstructured Patient Profiles Written by Primary Care Physicians.

Authors:  Haoran Zhang; Elisa Candido; Andrew S Wilton; Raquel Duchen; Liisa Jaakkimainen; Walter Wodchis; Quaid Morris
Journal:  Pac Symp Biocomput       Date:  2020

4.  Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph.

Authors:  Irene Y Chen; Monica Agrawal; Steven Horng; David Sontag
Journal:  Pac Symp Biocomput       Date:  2020

5.  Increasing Clinical Trial Accrual via Automated Matching of Biomarker Criteria.

Authors:  Jessica W Chen; Christian A Kunder; Nam Bui; James L Zehnder; Helio A Costa; Henning Stehr
Journal:  Pac Symp Biocomput       Date:  2020

6.  Automated phenotyping of patients with non-alcoholic fatty liver disease reveals clinically relevant disease subtypes.

Authors:  Maxence Vandromme; Tomi Jun; Ponni Perumalswami; Joel T Dudley; Andrea Branch; Li Li
Journal:  Pac Symp Biocomput       Date:  2020

7.  Multiclass Disease Classification from Microbial Whole-Community Metagenomes.

Authors:  Saad Khan; Libusha Kelly
Journal:  Pac Symp Biocomput       Date:  2020

8.  Obtaining dual-energy computed tomography (CT) information from a single-energy CT image for quantitative imaging analysis of living subjects by using deep learning.

Authors:  Wei Zhao; Tianling Lv; Rena Lee; Yang Chen; Lei Xing
Journal:  Pac Symp Biocomput       Date:  2020

9.  Monitoring ICU Mortality Risk with A Long Short-Term Memory Recurrent Neural Network.

Authors:  Ke Yu; Mingda Zhang; Tianyi Cui; Milos Hauskrecht
Journal:  Pac Symp Biocomput       Date:  2020

10.  Predicting Longitudinal Outcomes of Alzheimer's Disease via a Tensor-Based Joint Classification and Regression Model.

Authors:  Lodewijk Brand; Kai Nichols; Hua Wang; Heng Huang; Li Shen
Journal:  Pac Symp Biocomput       Date:  2020
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