Oncology/Hematology

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

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An Efficient Acute Lymphoblastic Leukemia Screen Framework Based on Multi-Modal Deep Neural Network.

BACKGROUND: Acute lymphoblastic leukemia (ALL) is a leading cause of death among pediatric malignanc...

Artificial intelligence-based biomarkers for treatment decisions in oncology.

The development of new therapeutic strategies such as immune checkpoint inhibitors (ICIs) and target...

VcaNet: Vision Transformer with fusion channel and spatial attention module for 3D brain tumor segmentation.

Accurate segmentation of brain tumors from MRI scans is a critical task in medical image analysis, y...

Assessment of different U-Net backbones in segmenting colorectal adenocarcinoma from H&E histopathology.

Adenocarcinoma, the most prevalent type of colorectal cancer, makes up roughly 95 % of all cases and...

Epigenetic profiling for prognostic stratification and personalized therapy in breast cancer.

BACKGROUND: The rising incidence of breast cancer and its heterogeneity necessitate precise tools fo...

Elevated serum CA 19-9 level mimicking pancreaticobiliary carcinoma from a hepatic abscess: case report and literature review.

Serum levels of the tumor marker CA 19-9 are widely utilized in the diagnosis and monitoring pancrea...

AlgaeSperm: Microalgae-Based Soft Magnetic Microrobots for Targeted Tumor Treatment.

Magnetic microrobots are significant platforms for targeted drug delivery, among which sperm-inspire...

Larger sample sizes are needed when developing a clinical prediction model using machine learning in oncology: methodological systematic review.

BACKGROUND AND OBJECTIVES: Having a sufficient sample size is crucial when developing a clinical pre...

Guidance on selecting and evaluating AI auto-segmentation systems in clinical radiotherapy: insights from a six-vendor analysis.

Artificial Intelligence (AI) based auto-segmentation has demonstrated numerous benefits to clinical ...

Application of deep learning in automated localization and interpretation of coronary artery calcification in oncological PET/CT scans.

Coronary artery calcification (CAC) is a key marker of coronary artery disease (CAD) but is often un...

Personalized treatment strategies for breast adenoid cystic carcinoma: A machine learning approach.

BACKGROUND: Breast adenoid cystic carcinoma (BACC) is a rare subtype of breast cancer that accounts ...

Blood cancer prediction model based on deep learning technique.

Blood cancer is among the critical health concerns among people around the world and normally emanat...

Current state and promise of user-centered design to harness explainable AI in clinical decision-support systems for patients with CNS tumors.

In neuro-oncology, MR imaging is crucial for obtaining detailed brain images to identify neoplasms, ...

Early detection of canine hemangiosarcoma via cfDNA fragmentation and copy number alterations in liquid biopsies using machine learning.

Hemangiosarcoma is a highly malignant tumor commonly affecting canines, originating from endothelial...

Integration of histone modification-based risk signature with drug sensitivity analysis reveals novel therapeutic strategies for lower-grade glioma.

BACKGROUND: Lower-grade glioma (LGG) exhibits significant heterogeneity in clinical outcomes, and cu...

Artificial intelligence in gastrointestinal cancers: Diagnostic, prognostic, and surgical strategies.

GI (Gastrointestinal) malignancies are one of the most common and lethal cancers globally. The dawn ...

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