Oncology/Hematology

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

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Showing 1639-1659 of 17,025 articles
SAP18 drives vasculogenic mimicry in esophageal squamous cell carcinoma: a machine learning and multi-omics investigation.

Vasculogenic mimicry (VM), a novel endothelial-independent blood perfusion pathway, is linked to adv...

(1)
Jul 2026 42393238
MRI for Prostate Cancer Local Staging: AJR Expert Panel Narrative Review.

The incremental value of multiparametric MRI (mpMRI) in prostate cancer staging has been increasingl...

Jul 2026 41370657
ADC Target Profiling in NSCLC: Generalizable AI Separates TROP-2 and cMET Phenotypes.

PURPOSE: Antibody-drug conjugates (ADC) targeting trophoblast cell surface antigen 2 (TROP-2) and cM...

Jul 2026 41945491
AI-Powered Deep Visual Proteomics Reveals Critical Molecular Transitions in Pancreatic Cancer Precursors.

UNLABELLED: Pancreatic ductal adenocarcinoma (PDAC) evolves through precursors, yet the protein prog...

Jul 2026 42013410
The Promise of Machine Learning-Based Population Screening for Hepatocellular Carcinoma.

Clusmann and colleagues developed PRE-Screen-HCC, an interpretable machine learning framework that l...

Jul 2026 42381462
Improving mortality prediction in critically ill cancer patients with a multidimensional machine learning model.

BACKGROUND: Prognostic assessment in critically ill cancer patients is challenging due to the subopt...

(1)
Jul 2026 42384111
From Cardioprotection to Trial Design: Rethinking Cardiac Safety in Oncology.

PURPOSE OF REVIEW: Cardio-oncology has emerged as a pivotal discipline aimed at preserving cardiovas...

(1)
Jul 2026 42384221
Early prediction of joint space narrowing in rheumatoid arthritis using AI-quantified bilateral joint space asymmetry on hand radiography.

PURPOSE: Joint space narrowing (JSN) in rheumatoid arthritis (RA) can progress even during clinical ...

(3)
Jul 2026 42384333
Explanation-Guided Reconstruction of Missing Clinical Features for Survival Prediction in Pancreatic Cancer.

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal cancers, with survival rates ...

Jul 2026 42384514
Radiomics for the Detection and Prediction of Cancer Therapy-Related Cardiotoxicity.

Modern cancer therapies have improved survival but unmasked the growing challenge of cancer therapy-...

Jul 2026 42385320
A salivary protein panel for detecting malignant transformation of oral leukoplakia.

Oral leukoplakia (OLK) is the most common oral potentially malignant disorder and carries a lifetime...

(1)
Jul 2026 42385552
Optimisation of radiation dose and image quality in paediatric chest and abdominal CT examinations: A systematic review.

INTRODUCTION: Computed tomography (CT) is indispensable for the rapid evaluation of paediatric chest...

(1)
Jul 2026 42385664
A Systematic Evaluation of Image Preprocessing in Deep Learning Detection and Segmentation of Intracranial Metastatic Disease.

BACKGROUND AND PURPOSE: Image preprocessing is an essential, though often overlooked, part of machin...

Jul 2026 42386367
Machine learning-assisted identification and validation of NRP1 inhibitors through molecular docking and dynamics simulations.

Neuropilin-1 (NRP1) is a key mediator of tumor metastasis and progression by controlling cancer cell...

Jul 2026 42386828
ClairS: a deep-learning method for long-read tumor-normal pair somatic small variant calling.

Somatic variant discovery in tumors is crucial for clinical analysis, yet most existing methods are ...

(1)
Jul 2026 42387002
BEAMSTER: Brain mEtAstases segMentation for STEreotactic Radiotherapy, A Retrospective MRI Dataset with Expert Segmentations.

We present a retrospective dataset of contrast-enhanced T1-weighted magnetic resonance imaging scans...

Jul 2026 42387017
Automatic lesion segmentation in ⁶⁸Ga-PSMA PET/CT and ¹⁷⁷Lu-PSMA SPECT/CT: added value of PET-guided SPECT in a bicentric study.

BACKGROUND: Manual segmentation of prostate cancer metastases on PSMA PET/CT and SPECT/CT is time-co...

Jul 2026 42387196
A novel cross-attentive network for classifying cervical metastatic lymph nodes on B- and D-mode ultrasound images in oral squamous cell carcinoma.

OBJECTIVES: This study proposes a deep convolutional neural network model that integrates B-mode and...

Jul 2026 41208043
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