Oncology/Hematology

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

15,280 articles
Stay Ahead - Weekly Oncology/Hematology research updates
Subscribe
Browse Categories
Showing 1870-1890 of 15,280 articles
Machine learning-based prediction of distant metastasis risk in invasive ductal carcinoma of the breast.

More than 90% of deaths due to breast cancer (BC) are due to metastasis-related complications, with ...

Histological proven AI performance in the UKLS CT lung cancer screening study: Potential for workload reduction.

PURPOSE: Artificial intelligence (AI) could reduce lung cancer screening computer tomography (CT)-re...

AI in Breast Cancer Imaging: An Update and Future Trends.

Breast cancer is one of the most common types of cancer affecting women worldwide. Artificial intell...

ChatGPT in Oncology Diagnosis and Treatment: Applications, Legal and Ethical Challenges.

PURPOSE OF REVIEW: This study aims to systematically review the trajectory of artificial intelligenc...

Preoperative clinical radiomics model based on deep learning in prognostic assessment of patients with gallbladder carcinoma.

OBJECTIVE: We aimed to develop a preoperative clinical radiomics survival prediction model based on ...

Evaluating feature extraction in ovarian cancer cell line co-cultures using deep neural networks.

Single-cell image analysis is crucial for studying drug effects on cellular morphology and phenotypi...

Accuracy of machine learning methods in predicting prognosis of patients with psychotic spectrum disorders: a systematic review.

OBJECTIVES: We aimed to examine the predictive accuracy of functioning, relapse or remission among p...

RAE-Net: a multi-modal neural network based on feature fusion and evidential deep learning algorithm in predicting breast cancer subtypes on DCE-MRI.

Accurate identification of molecular subtypes in breast cancer is critical for personalized treatmen...

A PET/CT-based 3D deep learning model for predicting spread through air spaces in stage I lung adenocarcinoma.

PURPOSE: This study evaluates a three-dimensional (3D) deep learning (DL) model based on fluorine-18...

DeepTree-AAPred: Binary tree-based deep learning model for anti-angiogenic peptides prediction.

Anti-angiogenic peptides (AAPs) show important potential in tumor therapy by limiting the growth and...

Artificial Intelligence in CT for Predicting Cervical Lymph Node Metastasis in Papillary Thyroid Cancer Patients: A Meta-analysis.

PURPOSE: This meta-analysis aims to evaluate the diagnostic performance of CT-based artificial intel...

Deep transfer learning radiomics for distinguishing sinonasal malignancies: a preliminary MRI study.

PURPOSE: This study aimed to assess the diagnostic accuracy of combining MRI hand-crafted (HC) radio...

Artificial Intelligence to Enhance Precision Medicine in Cardio-Oncology: A Scientific Statement From the American Heart Association.

Artificial intelligence is poised to transform cardio-oncology by enabling personalized care for pat...

Deep structured learning with vision intelligence for oral carcinoma lesion segmentation and classification using medical imaging.

Oral carcinoma (OC) is a toxic illness among the most general malignant cancers globally, and it has...

Optimizing Bi-LSTM networks for improved lung cancer detection accuracy.

Lung cancer remains a leading cause of cancer-related deaths worldwide, with low survival rates ofte...

[MP-MRI in the evaluation of non-operative treatment response, for residual and recurrent tumor detection in head and neck cancer].

As non-surgical therapies gain acceptance in head and neck tumors, the importance of imaging has inc...

Browse Categories