Oncology/Hematology

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

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AI Enhanced explainable early prediction of blood culture positivity in neutropenic patients using clinical and hematologic parameters.

Leukemia patients who receive chemotherapy experience a decline in neutrophils and an increased risk...

Interpretable machine learning for thyroid cancer recurrence predicton: Leveraging XGBoost and SHAP analysis.

PURPOSE: For patients suffering from differentiated thyroid cancer (DTC), several clinical, laborato...

Unsupervised learning to identify symptom clusters in older adults undergoing chemotherapy.

INTRODUCTION: Unsupervised machine learning (ML) approaches such as clustering have not been commonl...

AI-ready rectal cancer MR imaging: a workflow for tumor detection and segmentation.

BACKGROUND: Magnetic Resonance (MR) imaging is the preferred modality for staging in rectal cancer; ...

Deep learning prioritizes cancer mutations that alter protein nucleocytoplasmic shuttling to drive tumorigenesis.

Genetic variants can affect protein function by driving aberrant subcellular localization. However, ...

PLSKB: An Interactive Knowledge Base to Support Diagnosis, Treatment, and Screening of Lynch Syndrome on the Basis of Precision Oncology.

PURPOSE: Understanding the genetic heterogeneity of Lynch syndrome (LS) cancers has led to significa...

CQENet: A segmentation model for nasopharyngeal carcinoma based on confidence quantitative evaluation.

Accurate segmentation of the tumor regions of nasopharyngeal carcinoma (NPC) is of significant impor...

AI-driven innovations in smart multifunctional nanocarriers for drug and gene delivery: A mini-review.

The convergence of artificial intelligence (AI) and nanomedicine has revolutionized the design of sm...

Segment Like A Doctor: Learning reliable clinical thinking and experience for pancreas and pancreatic cancer segmentation.

Pancreatic cancer is a lethal invasive tumor with one of the worst prognosis. Accurate and reliable ...

Integration of Photodiagnosis and Therapy Guided by Micro/Nanorobots.

Micro/Nanorobots(MNRs)integrated with phototherapy represent an emerging approach to cancer treatmen...

Validation of OncoOrigin: An Integrative AI Tool for Primary Cancer Site Prediction with Graphical User Interface to Facilitate Clinical Application.

Cancers of unknown primary (CUPs) represent a significant diagnostic and therapeutic challenge in th...

Development and evaluation of a deep learning framework for pelvic and sacral tumor segmentation from multi-sequence MRI: a retrospective study.

BACKGROUND: Accurate segmentation of pelvic and sacral tumors (PSTs) in multi-sequence magnetic reso...

Machine learning reveals glycolytic key gene in gastric cancer prognosis.

Glycolysis is recognized as a central metabolic pathway in the neoplastic evolution of gastric cance...

Metabolomics and machine learning approaches for diagnostic biomarkers screening in systemic light chain amyloidosis.

Delayed diagnosis of systemic light chain (AL) amyloidosis is common and associated with worse survi...

Deep learning empowered gadolinium-free contrast-enhanced abbreviated MRI for diagnosing hepatocellular carcinoma.

BACKGROUND & AIMS: By reducing some magnetic resonance imaging (MRI) sequences, abbreviated MRI (aMR...

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