Oncology/Hematology

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

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Showing 1387-1407 of 17,025 articles
Maintaining SUV accuracy in low-count PET with PETfectior: a deep learning denoising solution.

The diagnostic image quality of positron emission tomography (PET) acquisitions strongly depends on ...

(1)
Jul 2026 42444561
Automated model-based lesion tracking in CT: colorectal liver metastases as a use case for development and performance analysis.

OBJECTIVE: To develop and evaluate an automated CT liver lesion-tracking algorithm that matches lesi...

(1)
Jul 2026 42446777
Global Trends and Insights in Cervical Cancer Research: A Bibliometric Analysis from 2000 to 2024.

Cervical cancer is the fourth most common malignant disease in women worldwide. Although the promoti...

(2)
Jul 2026 42446903
Spectral CT in radiotherapy: physics, principles, clinical applications, and future outlooks.

BACKGROUND: Conventional single-energy CT (SECT) is limited in differentiating materials with simila...

(1)
Jul 2026 42447720
Artificial Intelligence-Based Computer-Aided Detection in Breast Cancer Diagnosis: Variation by Breast Density, Imaging Feature, and Tumor Characteristics.

RATIONALE AND OBJECTIVES: To determine whether an FDA-approved artificial intelligence computer-aide...

Jul 2026 42448486
Integrative multi-omics reveals MHC class II-mediated neuroinflammation and systemic metabolic dysregulation as transdiagnostic drivers in major brain disorders.

Psychiatric, neurodevelopmental, and neurodegenerative disorders, including Alzheimer's disease (AD)...

(3)
Jul 2026 42448663
Improving preoperative risk stratification in colorectal liver metastases: a multi-institutional evaluation of multimodal prediction models.

Reliable prognostic models of death or liver recurrence following resection of colorectal liver meta...

Jul 2026 42448749
Deep learning-based segmentation and subtype prediction of renal cell carcinoma on contrast-enhanced CT.

Accurate preoperative discrimination of renal cell carcinoma (RCC) subtypes is critical for treatmen...

(2)
Jul 2026 42448906
Enhancing mortality prediction in septic ICU patients with malignancies through ensemble machine learning: a retrospective cohort study.

Sepsis remains a leading cause of mortality in the intensive care unit (ICU), and patients with unde...

(2)
Jul 2026 42448920
Multi-omics machine learning-driven investigation of super-enhancers signatures and prognostic biomarkers in lung adenocarcinoma.

Lung adenocarcinoma (LUAD) is the most common histological subtype of malignant lung tumors, charact...

Jul 2026 42443661
Explainable Ensemble Learning With Stain Normalization and Deep Feature Extraction for Acute Lymphoblastic Leukaemia Classification.

Acute lymphoblastic leukaemia (ALL), a common form of cancer, remains a life-threatening condition t...

Jul 2026 42453535
Perithyroidal Adipose Tissue Drives Thyroid Tumorigenesis through Adipokine Signaling and Immune Suppression.

The perithyroidal adipose tissue (PAT), given its direct anatomical proximity to the thyroid gland, ...

(6)
Jul 2026 42453940
MiracleNet: A Biologically Interpretable Machine Learning Model for Resected Non-small-cell Lung Cancer.

Lung cancer remains one of the leading causes of cancer-related mortality worldwide. Accurate predic...

Jul 2026 42454104
Toward robust histopathology imaging: An unsupervised framework for artifact detection, localization, and restoration.

Whole Slide Images are central to modern pathology and computational histopathology. However, tissue...

Jul 2026 42462642
Comparing machine learning methods predicting transcriptome from epigenome with applications to association studies.

BACKGROUND: Understanding how epigenome variation contributes to gene expression in disease and deve...

(4)
Jul 2026 42444001
Patient understanding of AI-simplified oncology imaging reports requires further validation.

Ribeiro and colleagues offer timely evidence that large language models can make oncology imaging re...

Jul 2026 42444015
Label-Free Prediction of EGFR Mutation Status Using Fluorescence Lifetime Imaging and Deep Learning in Lung Adenocarcinoma.

UNLABELLED: Accurate prediction of epidermal growth factor receptor (EGFR) mutations is essential fo...

(1)
Jul 2026 42439806
Automated quantification of drug-induced cell death via vacuolation scoring in microscopic images.

Cell death plays a critical role in maintaining cellular homeostasis. The accurate evaluation of cel...

Jul 2026 42439905
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