Integrated diagnostics: Embracing artificial intelligence and, above all, multidisciplinary teamwork Editorial


Authors: Hricak, H.; Langs, G.
Title: Integrated diagnostics: Embracing artificial intelligence and, above all, multidisciplinary teamwork
Keywords: nuclear magnetic resonance imaging; biological marker; phenotype; diagnostic procedure; tumor volume; editorial; diagnostic imaging; health care cost; health care utilization; health insurance; patient care team; artificial intelligence; clinical decision making; anxiety; decision making; radiodiagnosis; personalized medicine; teamwork; health care disparity; image segmentation; molecularly targeted therapy; genotyping; fine needle aspiration biopsy; procedures; survival prediction; machine learning; predictive model; humans; human; malignant neoplasm; collaborative care team; integrated diagnostic
Journal Title: Radiology
Volume: 312
Issue: 1
ISSN: 0033-8419
Publisher: Radiological Society of North America, Inc.  
Date Published: 2024-07-01
Start Page: e241087
Language: English
DOI: 10.1148/radiol.241087
PUBMED: 39078303
PROVIDER: scopus
PMCID: PMC11294755
DOI/URL:
Notes: The MSK Cancer Center Support Grant (P30 CA008748) is acknowledged in the PDF. Corresponding MSK author is Hedvig Hricak -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Hedvig Hricak
    421 Hricak