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Mashup Score: 1Radiomics Beyond the Hype: A Critical Evaluation Toward Oncologic Clinical Use | Radiology: Artificial Intelligence - 6 month(s) ago
Radiomics is a promising and fast-developing field within oncology that involves the mining of quantitative high-dimensional data from medical images. Radiomics has the potential to transform cancer management, whereby radiomics data can be used to aid early tumor characterization, prognosis, risk stratification, treatment planning, treatment response assessment, and surveillance. Nevertheless, certain challenges have delayed the clinical adoption and acceptability of radiomics in routine clinical practice. The objectives of this report are to (a) provide a perspective on the translational potential and potential impact of radiomics in oncology; (b) explore frequent challenges and mistakes in its derivation, encompassing study design, technical requirements, standardization, model reproducibility, transparency, data sharing, privacy concerns, quality control, as well as the complexity of multistep processes resulting in less radiologist-friendly interfaces; (c) discuss strategies to ov
Source: pubs.rsna.orgCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 5Identification of Precise 3D CT Radiomics for Habitat Computation by Machine Learning in Cancer - 12 month(s) ago
“Just Accepted” papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content. Purpose To identify precise 3D radiomics features in CT images that enable computation of stable and biologically meaningful habitats with machine learning for cancer heterogeneity assessment. Materials and Methods This retrospective study included 2436 liver or lung lesions from 605 CT scans (November 2010-December 2021) in 318 patients with cancer (mean age, 64.5 years ± 10.1 [SD]; 185 male patients). 3D radiomics were computed from original and perturbed (simulated retest) images with different combinations of feature computation kernel radius (R) and bin size (B). The lower 95% confidence limit (LCL) of the intraclass cor
Source: pubs.rsna.orgCategories: General Medicine News, Oncologists2Tweet-
RT @Radiology_AI: Tumor habitats using precise #radiomics features in lung and liver lesions https://t.co/qSfxrtZgpe @fragrussu @radiomicsV…
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Mashup Score: 0Registration | ASCO Breakthrough - 2 year(s) ago
ASCO has identified three nonmember categories that are eligible to receive a discounted registration rate to hear about innovations in cancer care at ASCO Breakthrough: Nonmember In-Training, Nonmember Affiliated Health Professional, and Nonmember Patient Advocate. Not sure if you qualify? Email ascoregistration@asco.org. If you are registering under the following categories, you will need to…
Source: conferences.asco.orgCategories: Latest Headlines, Partners & KOLsTweet-
#ASCOBT23 will feature an impressive speakers’ lineup, including #AI pioneer Dr. Maryellen Giger who will present on artificial intelligence for #radiomics in cancer. Register by 11:59 PM ET tomorrow, June 28, for the lowest rates! https://t.co/vvf7k0rs7A #HealthAI #OncTwitter https://t.co/c1es5x1ueB
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Mashup Score: 1Microvascular Invasion in Hepatocellular Carcinoma: Can a CT Radiomics Model Have an Impact? - 2 year(s) ago
A hybrid computed tomography radiomics model demonstrated up to an 86 percent area under the curve in predicting microvascular invasion in patients with hepatocellular carcinoma in a recently published study.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Microvascular Invasion in Hepatocellular Carcinoma: Can a CT #Radiomics Model Have an Impact? https://t.co/3lfTBysttw @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @RSNA @SocietyAbdRad @PennRadiology @BrighamRad @UVARadiology @UABRadiology @NYUImaging #radiology #RadRes #CTRad https://t.co/AYQ3eZYiu9
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Mashup Score: 1
By The ASCO Post Staff Posted: 5/5/2023 9:12:00 AM Last Updated: 5/5/2023 9:13:28 AM A new artificial intelligence (AI) model could help physicians diagnose lung cancer earlier, according to a study published by Hunter et al in eBioMedicine. The findings suggested that the new model may be quicker and…
Source: ascopost.comCategories: Hem/Onc News and Journals, Latest HeadlinesTweet-
Novel AI Model Offers Potential for Earlier Lung Cancer Diagnoses https://t.co/5SBg63CUrc #lcsm #lungcancer #oncology #radiomics
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Mashup Score: 0Microvascular Invasion in Hepatocellular Carcinoma: Can a CT Radiomics Model Have an Impact? - 2 year(s) ago
A hybrid computed tomography radiomics model demonstrated up to an 86 percent area under the curve in predicting microvascular invasion in patients with hepatocellular carcinoma in a recently published study.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Microvascular Invasion in Hepatocellular Carcinoma: Can a CT #Radiomics Model Have an Impact? https://t.co/TMbKbUPO09 @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @SocietyAbdRad @RadiologyUSC @StanfordRad @UTSW_Radiology @OHSURadiology @UCSFimaging #radiology #RadRes #CTRad https://t.co/bEGiTGkYfa
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Mashup Score: 0Microvascular Invasion in Hepatocellular Carcinoma: Can a CT Radiomics Model Have an Impact? - 2 year(s) ago
A hybrid computed tomography radiomics model demonstrated up to an 86 percent area under the curve in predicting microvascular invasion in patients with hepatocellular carcinoma in a recently published study.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Microvascular Invasion in Hepatocellular Carcinoma: Can a CT #Radiomics Model Have an Impact? https://t.co/jAM83JCcaC @ACRRFS @ACRYPS @ARRS_Radiology @RadiologyACR @SocietyAbdRad @PennRadiology @EmoryRadiology @DukeRadiology @NYUImaging @BrighamRad @UABRadiology #radiology #CTRad https://t.co/bZNezrM6Do
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Mashup Score: 0Microvascular Invasion in Hepatocellular Carcinoma: Can a CT Radiomics Model Have an Impact? - 2 year(s) ago
A hybrid computed tomography radiomics model demonstrated up to an 86 percent area under the curve in predicting microvascular invasion in patients with hepatocellular carcinoma in a recently published study.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Microvascular Invasion in Hepatocellular Carcinoma: Can a CT #Radiomics Model Have an Impact? https://t.co/BRovdo3BRX @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @SocietyAbdRad @RadiologyUcla @RadiologyUSC @StanfordRad @UTSW_Radiology @OHSURadiology #radiology #RadRes #CTRad https://t.co/MpAO4wt5zC
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Mashup Score: 0Microvascular Invasion in Hepatocellular Carcinoma: Can a CT Radiomics Model Have an Impact? - 2 year(s) ago
A hybrid computed tomography radiomics model demonstrated up to an 86 percent area under the curve in predicting microvascular invasion in patients with hepatocellular carcinoma in a recently published study.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Microvascular Invasion in Hepatocellular Carcinoma: Can a CT #Radiomics Model Have an Impact? https://t.co/uGsqxgmc6b @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @SocietyAbdRad @PennRadiology @UNCRadiology @UVARadiology @EmoryRadiology @MontefioreRAD #radiology #RadRes #CTRad https://t.co/8rb3xVk6z4
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Mashup Score: 0Microvascular Invasion in Hepatocellular Carcinoma: Can a CT Radiomics Model Have an Impact? - 2 year(s) ago
A hybrid computed tomography radiomics model demonstrated up to an 86 percent area under the curve in predicting microvascular invasion in patients with hepatocellular carcinoma in a recently published study.
Source: Diagnostic ImagingCategories: Latest Headlines, RadiologyTweet-
Microvascular Invasion in Hepatocellular Carcinoma: Can a CT #Radiomics Model Have an Impact? https://t.co/HI9gsDSlZm @ACRRFS @ACRYPS @RadiologyACR @ARRS_Radiology @RSNA @RadiologyUSC @StanfordRad @RadiologyUcla @UCSFimaging @UTSW_Radiology @MayoRadiologyAZ #radiology #RadRes https://t.co/mKjYHP6jZ4
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RT @Radiology_AI: #Radiomics Beyond the Hype: A Critical Evaluation Toward Oncologic Clinical Use https://t.co/fJe3viOZqN @natallyhorvat @n…