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

Journal: Clinical toxicology (Philadelphia, Pa.)
Published Date: Nov 14, 2022

Abstract

BACKGROUND: Artificial intelligences (AIs) are emerging in the field of medical informatics in many areas. They are mostly used for diagnosis support in medical imaging but have potential uses in many other fields of medicine where large datasets are available.

Authors

  • Tobias Zellner
    Division of Clinical Toxicology, Department of Internal Medicine II, Poison Control Centre Munich, TUM School of Medicine, Technical University of Munich, Munich, Germany.
  • Katrin Romanek
    Division of Clinical Toxicology, Department of Internal Medicine II, Poison Control Centre Munich, TUM School of Medicine, Technical University of Munich, Munich, Germany.
  • Christian Rabe
    Division of Clinical Toxicology, Department of Internal Medicine II, Poison Control Centre Munich, TUM School of Medicine, Technical University of Munich, Munich, Germany.
  • Sabrina Schmoll
    Division of Clinical Toxicology, Department of Internal Medicine II, Poison Control Centre Munich, TUM School of Medicine, Technical University of Munich, Munich, Germany.
  • Stefanie Geith
    Division of Clinical Toxicology, Department of Internal Medicine II, Poison Control Centre Munich, TUM School of Medicine, Technical University of Munich, Munich, Germany.
  • Eva-Carina Heier
    Division of Clinical Toxicology, Department of Internal Medicine II, Poison Control Centre Munich, TUM School of Medicine, Technical University of Munich, Munich, Germany.
  • Raphael Stich
    Division of Clinical Toxicology, Department of Internal Medicine II, Poison Control Centre Munich, TUM School of Medicine, Technical University of Munich, Munich, Germany.
  • Hendrik Burwinkel
    Department of Computer Aided Medical Procedures (CAMP), Technical University of Munich (TUM), Boltzmannstr. 3, 85748 Garching, Germany.
  • Matthias Keicher
    Computer Aided Medical Procedures, TUM Department of Informatics, Technical University of Munich, Garching, Germany.
  • David Bani-Harouni
    Computer Aided Medical Procedures, TUM Department of Informatics, Technical University of Munich, Garching, Germany.
  • Nassir Navab
    Chair for Computer Aided Medical Procedures & Augmented Reality, TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.
  • Seyed-Ahmad Ahmadi
  • Florian Eyer
    Department of Clinical Toxicology, TUM School of Medicine, Technical University of Munich, Germany.

Keywords

External Resources

Popular Topics
Recent Journals