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

Showing 1 to 10 of 61 articles

Artificial intelligence generated 3D body composition predicts dose modifications in patients undergoing neoadjuvant chemotherapy for rectal cancer.

Journal of cancer research and clinical oncology May 16, 2025
PURPOSE: Chemotherapy administration is a balancing act between giving enough to achieve the desired tumour response while limiting adverse effects. Chemotherapy dosing is based on body surface area (BSA). Emerging evidence suggests body composition ...
Retrospective Studies Female Aged Adult Humans Artificial Intelligence Neoadjuvant Therapy Body Composition Rectal Neoplasms Body Surface Area Male Middle Aged Imaging, Three-Dimensional Antineoplastic Combined Chemotherapy Protocols
View on PubMed DOI

PSMA PET/CT for prostate cancer diagnosis: current applications and future directions.

Journal of cancer research and clinical oncology May 4, 2025
Prostate cancer (PCa) requires improved diagnostic strategies beyond conventional imaging. This review aimed to evaluate the role of prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) in diagnosing advan...
Positron Emission Tomography Computed Tomography Prostatic Neoplasms Antigens, Surface Humans Glutamate Carboxypeptidase II Male Lymphatic Metastasis
View on PubMed DOI

F-FDG PET radiomics score construction by automatic machine learning for treatment response prediction in elderly patients with diffuse large B-cell lymphoma: a multicenter study.

Journal of cancer research and clinical oncology Mar 28, 2025
PURPOSE: To explore the development and validation of automated machine learning (AutoML) models for F-FDG PET imaging-based radiomics signatures to predict treatment response in elderly patients with diffuse large B-cell lymphoma (DLBCL).
Humans Machine Learning Prognosis Retrospective Studies Antineoplastic Combined Chemotherapy Protocols Vincristine Treatment Outcome Radiopharmaceuticals Positron-Emission Tomography Cyclophosphamide Fluorodeoxyglucose F18 Female Prednisone Radiomics Aged Rituximab Lymphoma, Large B-Cell, Diffuse Aged, 80 and over Male Middle Aged
View on PubMed DOI

Artificial intelligence algorithm for preoperative prediction of FIGO stage in ovarian cancer based on clinical features integrated 18F-FDG PET/CT metabolic and radiomics features.

Journal of cancer research and clinical oncology Feb 20, 2025
PURPOSE: The International Federation of Gynecology and Obstetric (FIGO) stage is critical to guiding the treatments of ovarian cancer (OC). We tried to develop a model to predict the FIGO stage of OC through machine learning algorithms with patients...
Ovarian Neoplasms Positron Emission Tomography Computed Tomography Neoplasm Staging Radiopharmaceuticals Fluorodeoxyglucose F18 Aged Adult Radiomics Middle Aged Algorithms Humans Retrospective Studies Artificial Intelligence Female Machine Learning
View on PubMed DOI

An interpretable ensemble model combining handcrafted radiomics and deep learning for predicting the overall survival of hepatocellular carcinoma patients after stereotactic body radiation therapy.

Journal of cancer research and clinical oncology Feb 14, 2025
PURPOSE: Hepatocellular carcinoma (HCC) remains a global health concern, marked by increasing incidence rates and poor outcomes. This study seeks to develop a robust predictive model by integrating radiomics and deep learning features with clinical d...
Humans Prognosis Retrospective Studies Male Aged, 80 and over Middle Aged Adult Deep Learning Survival Rate Liver Neoplasms Radiomics Carcinoma, Hepatocellular Tomography, X-Ray Computed Radiosurgery Female Aged
View on PubMed DOI

Next-generation sequencing based deep learning model for prediction of HER2 status and response to HER2-targeted neoadjuvant chemotherapy.

Journal of cancer research and clinical oncology Feb 9, 2025
INTRODUCTION: For patients with breast cancer, the amplification of Human Epidermal Growth Factor 2 (HER2) is closely related to their prognosis and treatment decisions. This study aimed to further improve the accuracy and efficiency of HER2 amplific...
Neoadjuvant Therapy Mutation High-Throughput Nucleotide Sequencing Receptor, ErbB-2 Biomarkers, Tumor Middle Aged Deep Learning Antineoplastic Combined Chemotherapy Protocols Female Adult Breast Neoplasms Humans Prognosis
View on PubMed DOI

Deep learning and radiomics for gastric cancer serosal invasion: automated segmentation and multi-machine learning from two centers.

Journal of cancer research and clinical oncology Feb 3, 2025
OBJECTIVE: The objective of this study is to develop an automated method for segmenting spleen computed tomography (CT) images using a deep learning model. This approach is intended to address the limitations of manual segmentation, which is known to...
Radiomics Male Middle Aged Deep Learning Aged Adult Stomach Neoplasms Image Processing, Computer-Assisted Nomograms Neoplasm Invasiveness Spleen Humans Machine Learning Tomography, X-Ray Computed Female
View on PubMed DOI

Multi-classification of breast cancer pathology images based on a two-stage hybrid network.

Journal of cancer research and clinical oncology Nov 18, 2024
BACKGROUND AND OBJECTIVE: In current clinical medicine, pathological image diagnosis is the gold standard for cancer diagnosis. After pathologists determine whether breast lesions are malignant or benign, further sub-type classification is often nece...
Image Processing, Computer-Assisted Humans Neural Networks, Computer Female Breast Neoplasms
View on PubMed DOI

Use machine learning to predict pulmonary metastasis of esophageal cancer: a population-based study.

Journal of cancer research and clinical oncology Sep 16, 2024
BACKGROUND: This study aims to establish a predictive model for assessing the risk of esophageal cancer lung metastasis using machine learning techniques.
Middle Aged Lung Neoplasms Esophageal Neoplasms SEER Program Humans Risk Factors Machine Learning Aged Female Male
View on PubMed DOI

Advancements in triple-negative breast cancer sub-typing, diagnosis and treatment with assistance of artificial intelligence : a focused review.

Journal of cancer research and clinical oncology Aug 6, 2024
Triple negative breast cancer (TNBC) is most aggressive type of breast cancer with multiple invasive sub-types and leading cause of women's death worldwide. Lack of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor...
Humans Triple Negative Breast Neoplasms Artificial Intelligence Female Biomarkers, Tumor
View on PubMed DOI
Popular Topics
Popular Journals