ToxNet: an artificial intelligence designed for decision support for toxin prediction-Reference-Cited by-同舟云学术

ToxNet: an artificial intelligence designed for decision support for toxin prediction

Published:2022-11-14 Issue:1 Volume:61 Page:56-63
ISSN:1556-3650
Container-title:Clinical Toxicology
language:en
Short-container-title:Clinical Toxicology

Author:

Zellner Tobias¹^ORCID,Romanek Katrin¹^ORCID,Rabe Christian¹,Schmoll Sabrina¹^ORCID,Geith Stefanie¹^ORCID,Heier Eva-Carina¹^ORCID,Stich Raphael¹,Burwinkel Hendrik²,Keicher Matthias²^ORCID,Bani-Harouni David²,Navab Nassir²^ORCID,Ahmadi Seyed-Ahmad³^ORCID,Eyer Florian¹^ORCID

Affiliation:

1. Division of Clinical Toxicology, Department of Internal Medicine II, Poison Control Centre Munich, TUM School of Medicine, Technical University of Munich, Munich, Germany

2. Computer Aided Medical Procedures, TUM Department of Informatics, Technical University of Munich, Garching, Germany

3. NVIDIA GmbH, Munich, Germany

Publisher

Informa UK Limited

Subject

Toxicology,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/15563650.2022.2144345

Reference22 articles.

1. The Role and Promise of Artificial Intelligence in Medical Toxicology

2. Overview of artificial intelligence in medicine

3. Impact of artificial intelligence on radiology: a EuroAIM survey among members of the European Society of Radiology

4. Machine Learning in Medicine

5. The global burden of disease attributable to alcohol and drug use in 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

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