[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Salem et al., 2023 - Google Patents

Nodal Involvement in Prostate Cancer: Implications for Diagnosis and Treatment

Salem et al., 2023

View PDF
Document ID
15520279305811708280
Author
Salem M
Robenson J
Publication year
Publication venue
Available at SSRN 4915148

External Links

Snippet

The prognosis and treatment of prostate cancer is highly dependent on the involvement of nodes. The present study aimed at investigating the association between nodal involvement with various clinical parameters such as age, stage, grade, x-ray results and acid …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/322Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/3487Medical report generation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/22Health care, e.g. hospitals; Social work
    • G06Q50/24Patient record management
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53Immunoassay; Biospecific binding assay
    • G01N33/574Immunoassay; Biospecific binding assay for cancer
    • G01N33/57407Specifically defined cancers
    • G01N33/57415Specifically defined cancers of breast

Similar Documents

Publication Publication Date Title
Thumallapally et al. Solitary plasmacytoma: population-based analysis of survival trends and effect of various treatment modalities in the USA
Chhatwal et al. Optimal breast biopsy decision-making based on mammographic features and demographic factors
JP5603639B2 (en) Learning device for prediction device and computer program therefor
Olthof et al. The role of lymph nodes in cervical cancer: incidence and identification of lymph node metastases—a literature review
US20210217524A1 (en) Performing a prognostic evaluation
US20150112705A1 (en) Dynamic analysis and dynamic screening
Westphalen et al. Prostate cancer: prediction of biochemical failure after external-beam radiation therapy—Kattan nomogram and endorectal MR imaging estimation of tumor volume
Marti-Bonmati et al. Considerations for artificial intelligence clinical impact in oncologic imaging: an AI4HI position paper
Lee et al. Prognostic impact of further treatments on distant metastasis in patients with minimally invasive follicular thyroid carcinoma: verification using inverse probability of treatment weighting
Salem et al. Nodal Involvement in Prostate Cancer: Implications for Diagnosis and Treatment
Rautela et al. A comprehensive review on computational techniques for breast cancer: past, present, and future
Mema et al. The role of artificial intelligence in understanding and addressing disparities in breast cancer outcomes
Al Rahman et al. Framework for a Computer-Aided Treatment Prediction (CATP) System for Breast Cancer.
Liu et al. The value of machine learning based on CT radiomics in the preoperative identification of peripheral nerve invasion in colorectal cancer: a two-center study
Wang et al. Enhancing outcome prediction in intracerebral hemorrhage through deep learning: a retrospective multicenter study
Lee et al. Risk-based screening mammography for women aged< 40: outcomes from the national mammography database
Chen et al. Preoperative CT features to predict risk stratification of non-muscle invasive bladder cancer
Caleb et al. Breast Cancer Diagnosis using Machine Learning Approach
Li et al. Research Progress in Predicting Hepatocellular Carcinoma with Portal Vein Tumour Thrombus in the Era of Artificial Intelligence
Wang et al. Whole tumour-and subregion-based radiomics of contrast-enhanced mammography in differentiating HER2 expression status of invasive breast cancers: A double-centre pilot study
US12094107B2 (en) CAD device and method for analyzing medical images
Mello et al. Mammographic and Ultrasonographic Imaging Analysis for Neoadjuvant Chemotherapy Evaluation: Volume Reduction Indexes That Correlate With Pathological Complete Response
Jiang et al. Estimation of the benefit and harms of including clinical breast examination in an organized breast screening program
Verboven et al. Retrospective cohort study on the bilateral occurrence of invasive lobular breast cancer
Bennett et al. Evaluation of prognostic factors for early mortality after stereotactic radiosurgery for brain metastases: A single institutional retrospective review