Oncology/Hematology

Latest AI and machine learning research in oncology/hematology for healthcare professionals.

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Integration of AI and Machine Learning in Radiotherapy QA.

The use of machine learning and other sophisticated models to aid in prediction and decision making ...

Characterizing CDK12-Mutated Prostate Cancers.

PURPOSE: Cyclin-dependent kinase 12 (CDK12) aberrations have been reported as a biomarker of respons...

Clinical evaluation of atlas- and deep learning-based automatic segmentation of multiple organs and clinical target volumes for breast cancer.

Manual segmentation is the gold standard method for radiation therapy planning; however, it is time-...

Morphological Estimation of Cellularity on Neo-Adjuvant Treated Breast Cancer Histological Images.

This paper describes a methodology that extracts key morphological features from histological breast...

Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma.

In patients with suspected lymphoma, the tissue biopsy provides lymphoma confirmation, classificatio...

Artificial Intelligence System to Determine Risk of T1 Colorectal Cancer Metastasis to Lymph Node.

BACKGROUND & AIMS: In accordance with guidelines, most patients with T1 colorectal cancers (CRC) und...

Patient generated health data and electronic health record integration in oncologic surgery: A call for artificial intelligence and machine learning.

In this review, we aim to assess the current state of science in relation to the integration of pati...

Operative and long-term oncological outcomes in patients undergoing robotic versus laparoscopic surgery for rectal cancer.

BACKGROUND: This study aimed to compare short- and long-term outcomes after robotic versus laparosco...

Deep learning radiomics of ultrasonography: Identifying the risk of axillary non-sentinel lymph node involvement in primary breast cancer.

BACKGROUND: Completion axillary lymph node dissection is overtreatment for patients with sentinel ly...

2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma.

For treatment individualisation of patients with locally advanced head and neck squamous cell carcin...

An immune-related gene signature for determining Ewing sarcoma prognosis based on machine learning.

PURPOSE: Ewing sarcoma (ES) is one of the most common malignant bone tumors in children and adolesce...

Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy.

This brief review summarizes the major applications of artificial intelligence (AI), in particular d...

Intensity harmonization techniques influence radiomics features and radiomics-based predictions in sarcoma patients.

Intensity harmonization techniques (IHT) are mandatory to homogenize multicentric MRIs before any qu...

Lymph node metastasis prediction of papillary thyroid carcinoma based on transfer learning radiomics.

Non-invasive assessment of the risk of lymph node metastasis (LNM) in patients with papillary thyroi...

Automatic Prediction of MGMT Status in Glioblastoma via Deep Learning-Based MR Image Analysis.

Methylation of the O-methylguanine methyltransferase (MGMT) gene promoter is correlated with the eff...

Identification of Latent Oncogenes with a Network Embedding Method and Random Forest.

Oncogene is a special type of genes, which can promote the tumor initiation. Good study on oncogenes...

A data-driven approach to a chemotherapy recommendation model based on deep learning for patients with colorectal cancer in Korea.

BACKGROUND: Clinical Decision Support Systems (CDSSs) have recently attracted attention as a method ...

Multi-scale supervised clustering-based feature selection for tumor classification and identification of biomarkers and targets on genomic data.

BACKGROUND: The small number of samples and the curse of dimensionality hamper the better applicatio...

Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture.

Brain tumor is one of the most dreadful natures of cancer and caused a huge number of deaths among k...

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