Literature DB >> 30617337

A call for deep-learning healthcare.

Beau Norgeot1, Benjamin S Glicksberg1, Atul J Butte2,3.   

Abstract

Entities:  

Mesh：

Year:  2019        PMID： 30617337     DOI： 10.1038/s41591-018-0320-3

Source DB:  PubMed          Journal:  Nat Med        ISSN： 1078-8956            Impact factor:   53.440


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  40 in total

Review 1.  Applications of machine learning in drug discovery and development.

Authors:  Jessica Vamathevan; Dominic Clark; Paul Czodrowski; Ian Dunham; Edgardo Ferran; George Lee; Bin Li; Anant Madabhushi; Parantu Shah; Michaela Spitzer; Shanrong Zhao
Journal:  Nat Rev Drug Discov       Date:  2019-06       Impact factor: 84.694

2.  Sepsis in the era of data-driven medicine: personalizing risks, diagnoses, treatments and prognoses.

Authors:  Andrew C Liu; Krishna Patel; Ramya Dhatri Vunikili; Kipp W Johnson; Fahad Abdu; Shivani Kamath Belman; Benjamin S Glicksberg; Pratyush Tandale; Roberto Fontanez; Oommen K Mathew; Andrew Kasarskis; Priyabrata Mukherjee; Lakshminarayanan Subramanian; Joel T Dudley; Khader Shameer
Journal:  Brief Bioinform       Date:  2020-07-15       Impact factor: 11.622

3.  An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognostication.

Authors:  Olivier Morin; Martin Vallières; Steve Braunstein; Jorge Barrios Ginart; Taman Upadhaya; Henry C Woodruff; Alex Zwanenburg; Avishek Chatterjee; Javier E Villanueva-Meyer; Gilmer Valdes; William Chen; Julian C Hong; Sue S Yom; Timothy D Solberg; Steffen Löck; Jan Seuntjens; Catherine Park; Philippe Lambin
Journal:  Nat Cancer       Date:  2021-07-22

4.  Utility of artificial intelligence with deep learning of hematoxylin and eosin-stained whole slide images to predict lymph node metastasis in T1 colorectal cancer using endoscopically resected specimens; prediction of lymph node metastasis in T1 colorectal cancer.

Authors:  Joo Hye Song; Yiyu Hong; Eun Ran Kim; Seok-Hyung Kim; Insuk Sohn
Journal:  J Gastroenterol       Date:  2022-07-08       Impact factor: 6.772

5.  Decoding the dopamine transporter imaging for the differential diagnosis of parkinsonism using deep learning.

Authors:  Yu Zhao; Jianjun Wu; Ping Wu; Matthias Brendel; Jiaying Lu; Jingjie Ge; Chunmeng Tang; Jimin Hong; Qian Xu; Fengtao Liu; Yimin Sun; Zizhao Ju; Huamei Lin; Yihui Guan; Claudio Bassetti; Markus Schwaiger; Sung-Cheng Huang; Axel Rominger; Jian Wang; Chuantao Zuo; Kuangyu Shi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-05-19       Impact factor: 10.057

Review 6.  Scalable Signature-Based Molecular Diagnostics Through On-chip Biomarker Profiling Coupled with Machine Learning.

Authors:  John Molinski; Amogha Tadimety; Alison Burklund; John X J Zhang
Journal:  Ann Biomed Eng       Date:  2020-08-20       Impact factor: 3.934

7.  Language models are an effective representation learning technique for electronic health record data.

Authors:  Ethan Steinberg; Ken Jung; Jason A Fries; Conor K Corbin; Stephen R Pfohl; Nigam H Shah
Journal:  J Biomed Inform       Date:  2020-12-05       Impact factor: 6.317

8.  Meeting the unmet needs of clinicians from AI systems showcased for cardiology with deep-learning-based ECG analysis.

Authors:  Yonatan Elul; Aviv A Rosenberg; Assaf Schuster; Alex M Bronstein; Yael Yaniv
Journal:  Proc Natl Acad Sci U S A       Date:  2021-06-15       Impact factor: 11.205

9.  Long-term cancer survival prediction using multimodal deep learning.

Authors:  Luís A Vale-Silva; Karl Rohr
Journal:  Sci Rep       Date:  2021-06-29       Impact factor: 4.379

10.  A data-driven performance dashboard for surgical dissection.

Authors:  Amir Baghdadi; Sanju Lama; Rahul Singh; Hamidreza Hoshyarmanesh; Mohammadsaleh Razmi; Garnette R Sutherland
Journal:  Sci Rep       Date:  2021-07-22       Impact factor: 4.379
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