AIMC Topic: National Cancer Institute (U.S.)
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Semiautomated Extraction of Research Topics and Trends From National Cancer Institute Funding in Radiological Sciences From 2000 to 2020.
International journal of radiation oncology, biology, physics
Jan 25, 2025
PURPOSE: Investigators and funding organizations desire knowledge on topics and trends in publicly funded research but current efforts for manual categorization have been limited in breadth and depth of understanding. We present a semiautomated analy...
Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification-Part 2: Pathology Whole Slide Image De-identification, De-facing, the Role of AI in Image De-identification, and the NCI MIDI Datasets and Pipeline.
Journal of imaging informatics in medicine
Jul 9, 2024
De-identification of medical images intended for research is a core requirement for data sharing initiatives, particularly as the demand for data for artificial intelligence (AI) applications grows. The Center for Biomedical Informatics and Informati...
Evaluating AI models in head and neck cancer research: the use of NCI data by ChatGPT 3.5, ChatGPT 4.0, Google Bard, and Bing Chat.
Oral surgery, oral medicine, oral pathology and oral radiology
Jun 3, 2024
On the Best Way to Cluster NCI-60 Molecules.
Biomolecules
Mar 8, 2023
Machine learning-based models have been widely used in the early drug-design pipeline. To validate these models, cross-validation strategies have been employed, including those using clustering of molecules in terms of their chemical structures. Howe...
The potential of AI in cancer care and research.
Biochimica et biophysica acta. Reviews on cancer
May 28, 2021
Current applications of artificial intelligence (AI), machine learning, and deep learning in cancer research and clinical care are highly diverse-from aiding radiologists in reading medical images to predicting oncoprotein folding and dynamics. The l...
Using machine learning algorithms to review computed tomography scans and assess risk for cardiovascular disease: Retrospective analysis from the National Lung Screening Trial (NLST).
PloS one
Aug 3, 2020
BACKGROUND: The National Lung Screening Trial (NLST) demonstrated that annual screening with low dose CT in high-risk population was associated with reduction in lung cancer mortality. Nonetheless, the leading cause of mortality in the study was from...
Cigarette Smoking
Coronary Vessels
Clinical Trials, Phase III as Topic
National Cancer Institute (U.S.)
Emphysema
Liver
Randomized Controlled Trials as Topic
Radiographic Image Interpretation, Computer-Assisted
United States
Mass Screening
Early Detection of Cancer
Male
Cardiovascular Diseases
Middle Aged
Lung Neoplasms
Fatty Liver
Risk Assessment
Lung
Humans
Tomography, X-Ray Computed
Machine Learning
Female
Retrospective Studies
Risk Factors
Predicting tumor cell line response to drug pairs with deep learning.
BMC bioinformatics
Dec 21, 2018
BACKGROUND: The National Cancer Institute drug pair screening effort against 60 well-characterized human tumor cell lines (NCI-60) presents an unprecedented resource for modeling combinational drug activity.
Quality assurance of biomedical terminologies and ontologies.
Journal of biomedical informatics
Sep 8, 2018
Complex overlapping concepts: An effective auditing methodology for families of similarly structured BioPortal ontologies.
Journal of biomedical informatics
May 28, 2018
In previous research, we have demonstrated for a number of ontologies that structurally complex concepts (for different definitions of "complex") in an ontology are more likely to exhibit errors than other concepts. Thus, such complex concepts often ...
Relating Complexity and Error Rates of Ontology Concepts. More Complex NCIt Concepts Have More Errors.
Methods of information in medicine
Feb 28, 2017
OBJECTIVES: Ontologies are knowledge structures that lend support to many health-information systems. A study is carried out to assess the quality of ontological concepts based on a measure of their complexity. The results show a relation between com...
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