nach oben

International Journal of Computer Assisted Radiology and Surgery

Erschienen in:

12.10.2019 | Editorial

Some germinal roots of AI and their impact on Computer Assisted Radiology and Surgery (CARS)

verfasst von: Heinz U. Lemke

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 10/2019

Einloggen, um Zugang zu erhalten

Excerpt

It may be of interest to the reader of this IJCARS Special Issue containing CARS 2019 papers with a focus on AI methods and tools, to have a brief glance at the historic context in which some of the developments toward intelligent machines have taken place. …

Turing AM (1950) Computing machinery and intelligence: a quarterly review of psychology and philosophy. Mind 59(236):433–460. https://doi.org/10.1093/mind/LIX.236.433 CrossRef

Wilkes M (1992) Artificial intelligence as the year 2000 approaches. Commun Assoc Comput Mach 35(8):17–20

Lee JAN (1995) Computer pioneers. IEEE Computer Society Press, Los Alamitos

Weizenbaum J (1966) ELIZA: a computer program for the study of natural language communication between man and machine. Commun Assoc Comput Mach 9:36–45

Collins NL, Michie D (1971) Machine intelligence, vol 1 + 2. Edinburgh University Press, Edinburgh

Pearl J (1986) Fusion, propagation, and structuring in belief networks. Artif Intell 29(3):241–288CrossRef

Pearl J, MacKenzie D (2018) The book of why, the new science of cause and effect. Basic Books, New York

Begoli E, Bhattacharya T, Kusnezov D (2019) The need for uncertainty quantification in machine-assisted medical decision making. Nat Mach Intell 1:20–23CrossRef

Müller VC, Bostrom N (2014) Future progress in artificial intelligence: a survey of expert opinion. In: Müller VC (ed) Fundamental issues of artificial intelligence. Springer, Berlin

10.

Battaglia PW, Hamrick JB, Bapst V, Sanchez-Gonzalez VA, Zambaldi V, Malinowski M, et al (2018) Relational inductive biases, deep learning, and graph networks. arXiv:1806.01261v3 [cs.LG]

11.

Cypko MA (2017) Therapy decision support system using Bayesian networks for multidisciplinary treatment decisions. Ph.D. Thesis, Fakultät für Mathematik und Informatik der Universität Leipzig

12.

Cypko MA, Stoehr M, Kozniewski M, Druzdzel MJ, Dietz A, Berliner L, Lemke HU (2017) Validation workflow for a clinical Bayesian network model in multidisciplinary decision making in head and neck oncology treatment. Int J CARS 12:1959–1970CrossRef

13.

Lemke HU (2013) Machine intelligence in the OR: optimizing the effectiveness of surgeons with IT tools. International Hospital, Guwahati

Titel: Some germinal roots of AI and their impact on Computer Assisted Radiology and Surgery (CARS)
verfasst von: Heinz U. Lemke
Publikationsdatum: 12.10.2019
Verlag: Springer International Publishing
Erschienen in: International Journal of Computer Assisted Radiology and Surgery / Ausgabe 10/2019
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-019-02069-y

Neu im Fachgebiet Radiologie

08.04.2024 | Andrologie | Nachrichten

Update Radiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Springer Medizin

Some germinal roots of AI and their impact on Computer Assisted Radiology and Surgery (CARS)

Excerpt

Neu im Fachgebiet Radiologie

Wie toxische Männlichkeit der Gesundheit von Männern schadet

Studie bestätigt Potenzial von KI in der Radiologie

Quantitative Angiografie könnte IVUS-Alternative darstellen

Die Ganz-Genom-Sequenzierung startet

Update Radiologie

Springer Medizin

Excerpt

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 10/2019

Toward versatile cooperative surgical robotics: a review and future challenges

Synthesis of CT images from digital body phantoms using CycleGAN

Automatic annotation of surgical activities using virtual reality environments

Tissue classification of oncologic esophageal resectates based on hyperspectral data

User-dependent variability in mitral valve segmentation and its impact on CFD-computed hemodynamic parameters

Lung nodule classification using deep Local–Global networks

Neu im Fachgebiet Radiologie

Wie toxische Männlichkeit der Gesundheit von Männern schadet

Studie bestätigt Potenzial von KI in der Radiologie

Quantitative Angiografie könnte IVUS-Alternative darstellen

Die Ganz-Genom-Sequenzierung startet

Update Radiologie