Oncology/Hematology

Other Cancers

Latest AI and machine learning research in other cancers for healthcare professionals.

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Two machine learning methods identify a metastasis-related prognostic model that predicts overall survival in medulloblastoma patients.

Approximately 30% of medulloblastoma (MB) patients exhibit metastasis at initial diagnosis, which of...

Engineering microrobots for targeted cancer therapies from a medical perspective.

Systemic chemotherapy remains the backbone of many cancer treatments. Due to its untargeted nature a...

Thin-Slice Pituitary MRI with Deep Learning-based Reconstruction: Diagnostic Performance in a Postoperative Setting.

Background Achieving high-spatial-resolution pituitary MRI is challenging because of the trade-off b...

The proliferative history shapes the DNA methylome of B-cell tumors and predicts clinical outcome.

We report a systematic analysis of the DNA methylation variability in 1,595 samples of normal cell s...

Detecting Vasodilation as Potential Diagnostic Biomarker in Breast Cancer Using Deep Learning-Driven Thermomics.

Breast cancer is the most common cancer in women. Early diagnosis improves outcome and survival, whi...

Intraprostatic Tumor Segmentation on PSMA PET Images in Patients with Primary Prostate Cancer with a Convolutional Neural Network.

Accurate delineation of the intraprostatic gross tumor volume (GTV) is a prerequisite for treatment ...

Development and Validation of a Gene Signature Classifier for Consensus Molecular Subtyping of Colorectal Carcinoma in a CLIA-Certified Setting.

PURPOSE: Consensus molecular subtyping (CMS) of colorectal cancer has potential to reshape the color...

Machine learning to predict the cancer-specific mortality of patients with primary non-metastatic invasive breast cancer.

PURPOSE: We used five machine-learning algorithms to predict cancer-specific mortality after surgica...

Potential Candidates for Focal Therapy in Prostate Cancer in the Era of Magnetic Resonance Imaging-targeted Biopsy: A Large Multicenter Cohort Study.

BACKGROUND: Focal therapy (FT) with its favorable side-effect profile represents an option between a...

Can artificial intelligence distinguish between malignant and benign mediastinal lymph nodes using sonographic features on EBUS images?

AIMS: This study aimed to develop a new intelligent diagnostic approach using an artificial neural n...

Sexual Dysfunction in Postmenopausal Women with Breast Cancer on Adjuvant Aromatase Inhibitor Therapy.

INTRODUCTION: The aim of this study was to investigate whether postmenopausal women with breast canc...

Application of deep learning to predict advanced neoplasia using big clinical data in colorectal cancer screening of asymptomatic adults.

BACKGROUND/AIMS: We aimed to develop a deep learning model for the prediction of the risk of advance...

Tumor segmentation in automated whole breast ultrasound using bidirectional LSTM neural network and attention mechanism.

Accurate breast mass segmentation of automated breast ultrasound (ABUS) is a great help to breast ca...

Dose prediction with deep learning for prostate cancer radiation therapy: Model adaptation to different treatment planning practices.

PURPOSE: This work aims to study the generalizability of a pre-developed deep learning (DL) dose pre...

TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings.

BACKGROUND: Cytokines are a class of small proteins that act as chemical messengers and play a signi...

Machine Learning Algorithms for the Prediction of Central Lymph Node Metastasis in Patients With Papillary Thyroid Cancer.

BACKGROUND: Central lymph node metastasis (CLNM) occurs frequently in patients with papillary thyroi...

Artificial Intelligence Applied to Breast MRI for Improved Diagnosis.

Background Recognition of salient MRI morphologic and kinetic features of various malignant tumor su...

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