Oncology/Hematology

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

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Deep learning enhanced ultra-fast SPECT/CT bone scan in patients with suspected malignancy: quantitative assessment and clinical performance.

. To evaluate the clinical performance of deep learning-enhanced ultrafast single photon emission co...

Artificial Intelligence Predictive Model for Hormone Therapy Use in Prostate Cancer.

BACKGROUND: Androgen deprivation therapy (ADT) with radiotherapy can benefit patients with localized...

Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics.

UNLABELLED: Artificial intelligence (AI) and machine learning (ML) are becoming critical in developi...

Deep learning and ultrasound feature fusion model predicts the malignancy of complex cystic and solid breast nodules with color Doppler images.

This study aimed to evaluate the performance of traditional-deep learning combination model based on...

Deep Learning-Based Multiparametric MRI Model for Preoperative T-Stage in Rectal Cancer.

BACKGROUND: Conventional MRI staging can be challenging in the preoperative assessment of rectal can...

Development of machine learning models to predict lymph node metastases in major salivary gland cancers.

INTRODUCTION: Indications for elective treatment of the neck in patients with major salivary gland c...

Deep learning models for cancer stem cell detection: a brief review.

Cancer stem cells (CSCs), also known as tumor-initiating cells (TICs), are a subset of tumor cells t...

A deep learning MRI-based signature may provide risk-stratification strategies for nasopharyngeal carcinoma.

OBJECTIVE: As the prognosis of nasopharyngeal carcinoma (NPC) is influenced by various factors, maki...

Fourier ptychographic and deep learning using breast cancer histopathological image classification.

Automated, as well as accurate classification with breast cancer histological images, was crucial fo...

Gigapixel end-to-end training using streaming and attention.

Current hardware limitations make it impossible to train convolutional neural networks on gigapixel ...

Emerging Pharmacotherapeutic Strategies to Overcome Undruggable Proteins in Cancer.

Targeted therapies in cancer treatment can improve efficacy and reduce adverse effects by altering ...

Intelligent solution predictive networks for non-linear tumor-immune delayed model.

In this article, we analyze the dynamics of the non-linear tumor-immune delayed (TID) model illustra...

Using a deep learning neural network for the identification of malignant cells in effusion cytology material.

AIM: To evaluate the application of an artificial neural network in the detection of malignant cells...

Drug synergy model for malignant diseases using deep learning.

Drug synergy has emerged as a viable treatment option for malignancy. Drug synergy reduces toxicity,...

Implications of Pediatric Artificial Intelligence Challenges for Artificial Intelligence Education and Curriculum Development.

Several radiology artificial intelligence (AI) courses are offered by a variety of institutions and ...

Robot-assisted laparoscopic abdominoperineal resection for anal canal cancer associated with Crohn's disease: A case report.

A 37-year-old man with Crohn's disease (CD) and a history of abdominal surgery was diagnosed with an...

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