Oncology/Hematology

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

15,250 articles
Stay Ahead - Weekly Oncology/Hematology research updates
Subscribe
Browse Categories
Showing 883-903 of 15,250 articles
Predicting therapeutic clinical trial enrollment for adult patients with low- and high-grade glioma using supervised machine learning.

Therapeutic clinical trial enrollment does not match glioma incidence across demographics. Tradition...

Advancing blood cell detection and classification: performance evaluation of modern deep learning models.

The detection and classification of blood cells are important in diagnosing and monitoring a variety...

A hybrid GAN-based deep learning framework for thermogram-based breast cancer detection.

Breast cancer remains one of the most prevalent and life-threatening diseases among women worldwide,...

UNIK (Urologic Non-Neoplastic Investigation of Kidneys): a machine learning approach to decode benign lesion.

PURPOSE: Predicting the likelihood of benign neoplasia in patients with suspected renal cell carcino...

Artificial intelligence in bone metastasis analysis: Current advancements, opportunities and challenges.

BACKGROUND: Artificial Intelligence is transforming medical imaging, particularly in the analysis of...

Radiomics and deep learning characterisation of liver malignancies in CT images - A systematic review.

BACKGROUND: Computed tomography (CT) has been widely used as an effective tool for liver imaging due...

Acquired resistance in cancer: towards targeted therapeutic strategies.

Development of acquired therapeutic resistance limits the efficacy of cancer treatments and accounts...

Pollen morphology, deep learning, phylogenetics, and the evolution of environmental adaptations in Podocarpus.

Podocarpus pollen morphology is shaped by both phylogenetic history and the environment. We analyzed...

The tumor microenvironment of non-small cell lung cancer impairs immune cell function in people with HIV.

Lung cancer is the leading cause of cancer mortality among people with HIV (PWH), with increased inc...

Deep learning-based electrical impedance spectroscopy analysis for malignant and potentially malignant oral disorder detection.

Electrical impedance spectroscopy (EIS) is a powerful tool used to investigate the properties of mat...

FPA-based weighted average ensemble of deep learning models for classification of lung cancer using CT scan images.

Cancer is among the most dangerous diseases contributing to rising global mortality rates. Lung canc...

AI-Driven Biomarker Discovery and Personalized Allergy Treatment: Utilizing Machine Learning and NGS.

PURPOSE OF REVIEW: This review explores the transformative potential of artificial intelligence (AI)...

Immunohistochemical biomarker scoring in gastroesophageal cancers: Can computers help us?

The increasing complexity of cancer diagnostics and treatment selection has placed a growing burden ...

Current trends in glioma tumor segmentation: A survey of deep learning modules.

BACKGROUND: Multiparametric Magnetic Resonance Imaging (mpMRI) is the gold standard for diagnosing b...

Current AI technologies in cancer diagnostics and treatment.

Cancer continues to be a significant international health issue, which demands the invention of new ...

Unsupervised learning-based quantitative analysis of CT intratumoral subregions predicts risk stratification of bladder cancer patients.

BACKGROUND: Preoperative diagnosis of muscle invasion and American Joint Committee on Cancer (AJCC) ...

Intelligent and precise auxiliary diagnosis of breast tumors using deep learning and radiomics.

BACKGROUND: Breast cancer is the most common malignant tumor among women worldwide, and early diagno...

Browse Categories