title: Sensor, signal, and imaging informatics: evidence-based health informatics.
abstract: OBJECTIVE
  This synopsis presents a selection for the IMIA (International Medical Informatics Association) Yearbook 2013 of excellent research in the broad field of Sensor, Signal, and Imaging Informatics published in the year 2012.
  
  
  METHODS
  We performed a systematic initial selection and a double blind peer review process to find the best papers in this domain published in 2012, from the PubMed and Web of Science databases. A set of MeSH keywords provided by experts was used.
  
  
  RESULTS
  Current research in the field of sensor signal and imaging informatics is based on innovative sensors from which relevant information (signal and imaging) can be acquired and integrated into workflow based or patient based models. This rich environment can help the medical staff in carrying out more optimal care. The demonstration of the added value of such innovations is more and more performed through evidence-based evaluations.
  
  
  CONCLUSIONS
  The best paper selection of articles on sensors, signal, and imaging informatics illustrates the wide spectrum covered by this field in 2012, and the attention paid to evaluations.
authors: Laboratoire TIMC-IMAG, équipe GMCAO, IN3S, pavillon Taillefer, Faculté de Médecine, 38706 La Tronche Cedex, France. E-mail: Sandrine.Voros@imag.fr.
authors: S
authors: S
authors: Voros
authors: A
authors: A
authors: Moreau-Gaudry
mesh_terms: D003952:Diagnostic Imaging; D004311:Double-Blind Method; D006801:Humans; D008490:Medical Informatics; D012955:Societies, Medical