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

Sandeman et al., 2022 - Google Patents

AI model for prostate biopsies predicts cancer survival

Sandeman et al., 2022

View HTML
Document ID
524898627263871342
Author
Sandeman K
Blom S
Koponen V
Manninen A
Juhila J
Rannikko A
Ropponen T
Mirtti T
Publication year
Publication venue
Diagnostics

External Links

Snippet

An artificial intelligence (AI) algorithm for prostate cancer detection and grading was developed for clinical diagnostics on biopsies. The study cohort included 4221 scanned slides from 872 biopsy sessions at the HUS Helsinki University Hospital during 2016–2017 …
Continue reading at www.mdpi.com (HTML) (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
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/28Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for programming tools or database systems, e.g. ontologies, heterogeneous data integration, data warehousing or computing architectures
    • 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
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • 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
    • G06Q50/01Social networking
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • 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
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
    • 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

Similar Documents

Publication Publication Date Title
Gupta et al. Prediction of colon cancer stages and survival period with machine learning approach
Azuaje et al. Connecting histopathology imaging and proteomics in kidney cancer through machine learning
Kim et al. Preoperative serum thyroglobulin and its correlation with the burden and extent of differentiated thyroid cancer
Sepehri et al. Comparison and fusion of machine learning algorithms for prospective validation of PET/CT radiomic features prognostic value in stage II-III non-small cell lung cancer
Shim et al. DeepRePath: identifying the prognostic features of early-stage lung adenocarcinoma using multi-scale pathology images and deep convolutional neural networks
Sandeman et al. AI model for prostate biopsies predicts cancer survival
Alboaneen et al. Predicting colorectal cancer using machine and deep learning algorithms: Challenges and opportunities
Sarker et al. A means of assessing deep learning-based detection of ICOS protein expression in colon cancer
Bourbonne et al. Development of a radiomic-based model predicting lymph node involvement in prostate cancer patients
Almangush et al. Improving risk stratification of early oral tongue cancer with tnm-immune (tnm-i) staging system
González-Castro et al. Machine learning algorithms to predict breast cancer recurrence using structured and unstructured sources from electronic health records
Schiele et al. Deep learning prediction of metastasis in locally advanced colon cancer using binary histologic tumor images
Morote et al. A clinically significant prostate cancer predictive model using digital rectal examination prostate volume category to stratify initial prostate cancer suspicion and reduce magnetic resonance imaging demand
Lagree et al. Assessment of digital pathology imaging biomarkers associated with breast cancer histologic grade
Nearchou et al. Automated detection and classification of desmoplastic reaction at the colorectal tumour front using deep learning
Committeri et al. Support tools in the differential diagnosis of salivary gland tumors through inflammatory biomarkers and radiomics metrics: a preliminary study
Shaw et al. Stacking machine learning algorithms for biomarker-based preoperative diagnosis of a pelvic mass
A. Mansouri et al. Equilibrium optimization algorithm with ensemble learning based cervical precancerous lesion classification model
Liu et al. Prediction of ovarian cancer response to therapy based on deep learning analysis of histopathology images
Patel et al. Cultivating clinical clarity through computer vision: a current perspective on whole slide imaging and artificial intelligence
Ragab et al. Archimedes Optimization Algorithm with Deep Learning-Based Prostate Cancer Classification on Magnetic Resonance Imaging
Ilié et al. Deep learning facilitates distinguishing histologic subtypes of pulmonary neuroendocrine tumors on digital whole-slide images
Senturk et al. BRCA variations risk assessment in breast cancers using different artificial intelligence models
Kronberg et al. Communicator-driven data preprocessing improves deep transfer learning of histopathological prediction of pancreatic ductal adenocarcinoma
Pais et al. Predicting Cancer Prognostics from Tumour Transcriptomics Using an Auto Machine Learning Approach