AI Medical Compendium Journal:
Journal of cancer research and clinical oncology

Showing 41 to 50 of 61 articles

Requirement of image standardization for AI-based macroscopic diagnosis for surgical specimens of gastric cancer.

Journal of cancer research and clinical oncology Feb 11, 2023
PURPOSE: The pathological diagnosis of surgically resected gastric cancer involves both a macroscopic diagnosis by gross observation and a microscopic diagnosis by microscopy. Macroscopic diagnosis determines the location and stage of the disease and...
Stomach Neoplasms Hospitals Margins of Excision Humans Artificial Intelligence Algorithms
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Using deep learning to predict survival outcome in non-surgical cervical cancer patients based on pathological images.

Journal of cancer research and clinical oncology Jan 19, 2023
PURPOSE: We analyzed clinical features and the representative HE-stained pathologic images to predict 5-year overall survival via the deep-learning approach in cervical cancer patients in order to assist oncologists in designing the optimal treatment...
Deep Learning Nomograms Calibration Female Uterine Cervical Neoplasms Humans Retrospective Studies
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Computer-aided detection and prognosis of colorectal cancer on whole slide images using dual resolution deep learning.

Journal of cancer research and clinical oncology Nov 4, 2022
PURPOSE: Rapid diagnosis and risk stratification can provide timely treatment for colorectal cancer (CRC) patients. Deep learning (DL) is not only used to identify tumor regions in histopathological images, but also applied to predict survival and ac...
Prognosis Colorectal Neoplasms Deep Learning Cancer Care Facilities Humans Computers
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Long-term oncologic outcomes of robot-assisted versus open radical prostatectomy for prostate cancer with seminal vesicle invasion: a multi-institutional study with a minimum 5-year follow-up.

Journal of cancer research and clinical oncology Aug 9, 2022
PURPOSE: This study aimed to compare the long-term oncological outcomes of robot-assisted radical prostatectomy (RARP) vs. open radical prostatectomy (ORP) in pathologically proven prostate cancer with seminal vesicle invasion (SVI).
Humans Prospective Studies Follow-Up Studies Seminal Vesicles Robotics Prostatic Neoplasms Robotic Surgical Procedures Male Prostatectomy Cohort Studies Treatment Outcome
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Applications of artificial intelligence multiomics in precision oncology.

Journal of cancer research and clinical oncology Jul 7, 2022
Cancer is the second leading worldwide disease that depends on oncogenic mutations and non-mutated genes for survival. Recent advancements in next-generation sequencing (NGS) have transformed the health care sector with big data and machine learning ...
Multiomics Precision Medicine Neoplasms Humans Artificial Intelligence Machine Learning
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Combined diagnosis of multiparametric MRI-based deep learning models facilitates differentiating triple-negative breast cancer from fibroadenoma magnetic resonance BI-RADS 4 lesions.

Journal of cancer research and clinical oncology Jun 30, 2022
PURPOSE: To investigate the value of the combined diagnosis of multiparametric MRI-based deep learning models to differentiate triple-negative breast cancer (TNBC) from fibroadenoma magnetic resonance Breast Imaging-Reporting and Data System category...
Magnetic Resonance Spectroscopy Fibroadenoma Multiparametric Magnetic Resonance Imaging Triple Negative Breast Neoplasms Contrast Media Magnetic Resonance Imaging Breast Neoplasms Deep Learning Humans Artificial Intelligence Retrospective Studies Female Sensitivity and Specificity
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Deep learning combined with radiomics for the classification of enlarged cervical lymph nodes.

Journal of cancer research and clinical oncology May 13, 2022
PURPOSE: To investigate the application of deep learning combined with traditional radiomics methods for classifying enlarged cervical lymph nodes.
Lymphatic Metastasis Deep Learning Lymphadenopathy Lymph Nodes Humans Retrospective Studies
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A retrospective analysis using deep-learning models for prediction of survival outcome and benefit of adjuvant chemotherapy in stage II/III colorectal cancer.

Journal of cancer research and clinical oncology Mar 24, 2022
PURPOSE: Most of Stage II/III colorectal cancer (CRC) patients can be cured by surgery alone, and only certain CRC patients benefit from adjuvant chemotherapy. Risk stratification based on deep-learning from haematoxylin and eosin (H&E) images has be...
Biomarkers, Tumor Deep Learning Antineoplastic Combined Chemotherapy Protocols Neoplasm Staging Artificial Intelligence Prospective Studies Fluorouracil Chemotherapy, Adjuvant Humans Prognosis Retrospective Studies Colorectal Neoplasms
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Non-melanoma skin cancer diagnosis: a comparison between dermoscopic and smartphone images by unified visual and sonification deep learning algorithms.

Journal of cancer research and clinical oncology Sep 21, 2021
PURPOSE: Non-melanoma skin cancer (NMSC) is the most frequent keratinocyte-origin skin tumor. It is confirmed that dermoscopy of NMSC confers a diagnostic advantage as compared to visual face-to-face assessment. COVID-19 restrictions diagnostics by t...
Humans Artificial Intelligence COVID-19 Deep Learning Smartphone Algorithms Skin Neoplasms Dermoscopy
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Using deep learning to predict microvascular invasion in hepatocellular carcinoma based on dynamic contrast-enhanced MRI combined with clinical parameters.

Journal of cancer research and clinical oncology Apr 10, 2021
PURPOSE: Microvascular invasion (MVI) is a critical determinant of the early recurrence and poor prognosis of patients with hepatocellular carcinoma (HCC). Prediction of MVI status is clinically significant for the decision of treatment strategies an...
Neoplasm Invasiveness Neoplasm Grading Male Middle Aged Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Magnetic Resonance Imaging Female Aged Adult Humans Retrospective Studies
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