Literature DB >> 28182259

Artificial intelligence (AI) systems for interpreting complex medical datasets.

R B Altman1.   

Abstract

Advances in machine intelligence have created powerful capabilities in algorithms that find hidden patterns in data, classify objects based on their measured characteristics, and associate similar patients/diseases/drugs based on common features. However, artificial intelligence (AI) applications in medical data have several technical challenges: complex and heterogeneous datasets, noisy medical datasets, and explaining their output to users. There are also social challenges related to intellectual property, data provenance, regulatory issues, economics, and liability.
© 2017 ASCPT.

Entities:  

Mesh：

Year:  2017        PMID： 28182259     DOI： 10.1002/cpt.650

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN： 0009-9236            Impact factor:   6.875


  10 in total

Review 1.  Current Applications and Future Impact of Machine Learning in Radiology.

Authors:  Garry Choy; Omid Khalilzadeh; Mark Michalski; Synho Do; Anthony E Samir; Oleg S Pianykh; J Raymond Geis; Pari V Pandharipande; James A Brink; Keith J Dreyer
Journal:  Radiology       Date:  2018-06-26       Impact factor: 11.105

2.  Evaluation of genotoxic effects in Brazilian agricultural workers exposed to pesticides and cigarette smoke using machine-learning algorithms.

Authors:  Jamile Silveira Tomiazzi; Meire Aparecida Judai; Gisele Alborghetti Nai; Danillo Roberto Pereira; Patricia Alexandra Antunes; Ana Paula Alves Favareto
Journal:  Environ Sci Pollut Res Int       Date:  2017-10-30       Impact factor: 4.223

3.  Computational analysis of cardiac structure and function in congenital heart disease: Translating discoveries to clinical strategies.

Authors:  Nickolas Forsch; Sachin Govil; James C Perry; Sanjeet Hegde; Alistair A Young; Jeffrey H Omens; Andrew D McCulloch
Journal:  J Comput Sci       Date:  2020-09-19

4.  Cancer Therapy: Shooting for the Moon.

Authors:  Jsh Lee; G M Blumenthal; R J Hohl; S-M Huang
Journal:  Clin Pharmacol Ther       Date:  2017-05       Impact factor: 6.875

5.  Biomedical informatics applications for precision management of neurodegenerative diseases.

Authors:  Justin B Miller; Guogen Shan; Joseph Lombardo; Gustavo Jimenez-Maggoria
Journal:  Alzheimers Dement (N Y)       Date:  2018-06-13

Review 6.  The Role of Artificial Intelligence in Managing Multimorbidity and Cancer.

Authors:  Alfredo Cesario; Marika D'Oria; Riccardo Calvani; Anna Picca; Antonella Pietragalla; Domenica Lorusso; Gennaro Daniele; Franziska Michaela Lohmeyer; Luca Boldrini; Vincenzo Valentini; Roberto Bernabei; Charles Auffray; Giovanni Scambia
Journal:  J Pers Med       Date:  2021-04-19

7.  Estimating the clinical prevalence of Wilson's disease in the UK.

Authors:  Pramudi Wijayasiri; Jatinder Hayre; Edward S Nicholson; Philip Kaye; Emilie A Wilkes; Jonathan Evans; Guruprasad P Aithal; Gabriela Jones; Fiona Pearce; Aloysious D Aravinthan
Journal:  JHEP Rep       Date:  2021-07-07

8.  International Classification of Functioning, Disability, and Health augmented by telemedicine and artificial intelligence for assessment of functional disability.

Authors:  Abhimanyu Vasudeva; Nishat A Sheikh; Samantak Sahu
Journal:  J Family Med Prim Care       Date:  2021-11-05

9.  NICU Admission for Term Neonates in a Large Single-Center Population: A Comprehensive Assessment of Risk Factors Using a Tandem Analysis Approach.

Authors:  Shahar Talisman; Joshua Guedalia; Rivka Farkash; Tehila Avitan; Naama Srebnik; Yair Kasirer; Michael S Schimmel; Dunia Ghanem; Ron Unger; Sorina Grisaru Granovsky
Journal:  J Clin Med       Date:  2022-07-22       Impact factor: 4.964

Review 10.  Clinical Natural Language Processing in languages other than English: opportunities and challenges.

Authors:  Aurélie Névéol; Hercules Dalianis; Sumithra Velupillai; Guergana Savova; Pierre Zweigenbaum
Journal:  J Biomed Semantics       Date:  2018-03-30
  10 in total

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