Oncology/Hematology

Breast Cancer

Latest AI and machine learning research in breast cancer for healthcare professionals.

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New Strategies and Artificial Intelligence Methods for the Mitigation of Toxigenic Fungi and Mycotoxins in Foods.

The proliferation of toxigenic fungi in food and the subsequent production of mycotoxins constitute ...

Potential of artificial intelligence for radiation dose reduction in computed tomography -A scoping review.

INTRODUCTION: Artificial intelligence (AI) is now transforming medical imaging, with extensive ramif...

Innovations in artificial intelligence for pet/mr imaging: Application and performance analysis.

BackgroundThe primary challenges in PET/MR imaging include prolonged scan durations for both PET and...

Automatic Segmentation and Molecular Subtype Classification of Breast Cancer Using an MRI-based Deep Learning Framework.

Purpose To build a deep learning framework using contrast-enhanced MRI for lesion segmentation and a...

Development of an automated photolysis rates prediction system based on machine learning.

Based on observed meteorological elements, photolysis rates (J-values) and pollutant concentrations,...

Leveraging Convolutional Neural Networks for Predicting Symptom Escalation in Chemotherapy Patients: A Temporal Resampling Approach.

This paper introduces a novel approach for predicting symptom escalation in chemotherapy patients by...

A physics-informed deep learning model for predicting beam dose distribution of intensity-modulated radiation therapy treatment plans.

BACKGROUND AND PURPOSE: We aimed to develop a physics-informed deep learning model for beam dose pre...

Breast Cancer Detection with Standalone AI versus Radiologist Interpretation of Unilateral Surveillance Mammography after Mastectomy.

Background Limited data are available regarding the accuracy of artificial intelligence (AI) algorit...

Machine Learning Unveils Sphingolipid Metabolism's Role in Tumour Microenvironment and Immunotherapy in Lung Cancer.

TME is a core player in the development of a cancerous lesion, the immune evasive potential of the l...

Discovery of New HER2 Inhibitors via Computational Docking, Pharmacophore Modeling, and Machine Learning.

The human epidermal growth factor receptor 2 (HER2) is a critical oncogene implicated in the develop...

An Efficient Lightweight Multi Head Attention Gannet Convolutional Neural Network Based Mammograms Classification.

BACKGROUND: This research aims to use deep learning to create automated systems for better breast ca...

Using AI to Select Women with Intermediate Breast Cancer Risk for Breast Screening with MRI.

Background Combined mammography and MRI screening is not universally accessible for women with inter...

A Serial MRI-based Deep Learning Model to Predict Survival in Patients with Locoregionally Advanced Nasopharyngeal Carcinoma.

Purpose To develop and evaluate a deep learning-based prognostic model for predicting survival in lo...

Artificial intelligence reading digital mammogram: enhancing detection and differentiation of suspicious microcalcifications.

OBJECTIVES: To investigate the impact of artificial intelligence (AI) on enhancing the sensitivity o...

GAIN-BRCA: a graph-based AI-net framework for breast cancer subtype classification using multiomics data.

MOTIVATION: Contextual integration of multiomic datasets from the same patient could improve the acc...

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