ABSTRACT
For more than a decade, we have witnessed an acceleration in the development and the adoption of artificial intelligence (AI) technologies. In medicine, it impacts clinical and fundamental research, hospital practices, medical examinations, hospital care or logistics. These in turn contribute to improvements in diagnostics and prognostics, and to improvements in personalised and targeted medicine, advanced observation and analysis technologies, or surgery and other assistance robots. Many challenges in AI and medicine, such as data digitalisation, medical data privacy, algorithm explicability, inclusive AI system development or their reproducibility, have to be tackled in order to build the confidence of medical practitioners in these technologies. This will be possible by mastering the key concepts via a brief history of artificial intelligence.
TITLE: Une brève introduction à l'intelligence artificielle. ABSTRACT: Depuis plus d'une décennie, l'intelligence artificielle (IA) vit une accélération dans son développement et son adoption. En médecine, elle intervient dans la recherche fondamentale et clinique, la pratique hospitalière, les examens médicaux, les soins ou encore la logistique. Ce qui contribue à l'affinement des diagnostics et des pronostics, à une médecine encore plus personnalisée et ciblée, à des avancées dans les technologies d'observations et d'analyses ou encore dans les outils d'interventions chirurgicales et autres robots d'assistance. De nombreux enjeux propres à l'IA et à la médecine, tels que la dématérialisation des données, le respect de la vie privée, l'explicabilité1 des algorithmes, la conception de systèmes d'IA inclusifs ou leur reproductibilité, sont à surmonter pour construire une confiance du corps hospitalier dans ces outils. Cela passe par une maîtrise des concepts fondamentaux que nous présentons ici.
Subject(s)
Artificial Intelligence/history , Algorithms , Artificial Intelligence/trends , Comprehension , Computer Simulation , Data Analysis , Data Curation/history , Data Curation/methods , Data Curation/trends , Data Interpretation, Statistical , Deep Learning/history , Deep Learning/trends , Forecasting/methods , History, 19th Century , History, 20th Century , History, 21st Century , Humans , Knowledge , Software/history , Software/trendsABSTRACT
With the 50th Anniversary of IMIA approaching in 2017, the IMIA Board approved the creation of a Taskforce for compiling materials and writing a history of the organization. As part of the work of the Taskforce, the authors have developed informatics tools, and begun collecting IMIA-related historical materials from its members, while soliciting participation and contributions from those involved in the early days of the organization and its predecessor IFIP-TC4. This poster describes the structure and preliminary contents of the media mining and presentation tools designed at Rutgers University for use by the IMIA History Editorial Board, being constituted to produce the 50th Anniversary publication, as well as an online archive of materials chronicling the evolution of IMIA. A major feature of the data repository is its ability to present different modalities of textual, visual and graphical (timelines, trends) summarizations for the IMIA document collection. It will be augmented with audio material, and will serve as an archival repository for historical research, including software tools for text analysis and extraction of the information entering into the 50th Anniversary volume.
