Oncology/Hematology

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

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Showing 169-189 of 15,190 articles
Real-world evaluation of user engagement with an artificial intelligence-powered clinical trial application in oncology.

OBJECTIVES: This quality improvement study implemented and prospectively examined user engagement wi...

Artificial intelligence-driven pathomics in hepatocellular carcinoma: current developments, challenges and perspectives.

Hepatocellular carcinoma (HCC) is a highly malignant tumor with elevated incidence and mortality rat...

Advancements in lung cancer: molecular insights, innovative therapies, and future prospects.

Still among the most common and deadly cancers worldwide, lung cancer causes major morbidity and dea...

Performance Evaluation of Artificial Intelligence Techniques in the Diagnosis of Brain Tumors: A Systematic Review and Meta-Analysis.

Brain tumors are becoming more prevalent, often leading to severe disability and high mortality rate...

Recent advances in deep learning for lymphoma segmentation: Clinical applications and challenges.

Lymphoma is a prevalent malignant tumor within the hematological system, posing significant challeng...

AI-driven skin cancer detection from smartphone images: A hybrid model using ViT, adaptive thresholding, black-hat transformation, and XGBoost.

Skin cancer is a significant global public health issue, with millions of new cases identified each ...

Predicting Mechanosensitive T Cell Expansion from Cell Spreading.

Variability in T cell performance presents a major challenge to adoptive cellular immunotherapy (ACT...

A visualized machine learning model using noninvasive parameters to differentiate men with and without prostatic carcinoma before biopsy.

This study aimed to create a visualized extreme gradient boosting (XGBOOST) model to distinguish pro...

Machine Learning-Driven SERS Analysis Platform for Accurate and Rapid Diagnosis of Peritoneal Metastasis from Gastric Cancer.

BACKGROUND: Peritoneal metastasis (PM) is the most common form of distant metastasis in gastric canc...

Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study.

BACKGROUND: Neoplasms are a major cause of mortality globally, where early diagnosis is essential fo...

Disease activity and treatment response in early rheumatoid arthritis: an exploratory metabolomic profiling in the NORD-STAR cohort.

BACKGROUND: The variability in treatment response in people with rheumatoid arthritis (RA) warrants ...

Comprehensive Insights into APOBEC Mutations in Thyroid Cancer: Prognostic and Therapeutic Discoveries.

BACKGROUND: The APOBEC (apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like) family pla...

A multi-omic single-cell landscape reveals transcription and epigenetic regulatory features of t(8;21) AML.

BACKGROUND: Comprehensive analysis of single-cell transcriptome and chromatin accessibility will con...

Enhanced HER-2 prediction in breast cancer through synergistic integration of deep learning, ultrasound radiomics, and clinical data.

This study integrates ultrasound Radiomics with clinical data to enhance the diagnostic accuracy of ...

Detection of breast cancer using machine learning and explainable artificial intelligence.

Breast cancer is characterized by the proliferation of abnormal breast cells that eventually turn in...

Machine-learning driven strategies for adapting immunotherapy in metastatic NSCLC.

Immune checkpoint inhibitors (ICIs), either as monotherapy (ICI-Mono) or combined with chemotherapy ...

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