Oncology/Hematology

AI-Based Identification Method for Cervical Transformation Zone Within Digital Colposcopy: Development and Multicenter Validation Study.

BACKGROUND: In low- and middle-income countries, cervical cancer remains a leading cause of death an...

Impact of Tumor Location on Predicting Early-Stage Breast Cancer Patient Survivability Using Explainable Machine Learning Models.

PURPOSE: This study aims to investigate the impact of tumor quadrant location on the 5-year early-st...

Anticancer drug response prediction integrating multi-omics pathway-based difference features and multiple deep learning techniques.

Individualized prediction of cancer drug sensitivity is of vital importance in precision medicine. W...

A weakly supervised deep learning framework for automated PD-L1 expression analysis in lung cancer.

The growing application of immune checkpoint inhibitors (ICIs) in cancer immunotherapy has underscor...

An Early Thyroid Screening Model Based on Transformer and Secondary Transfer Learning for Chest and Thyroid CT Images.

IntroductionThyroid cancer is a common malignant tumor, and early diagnosis and timely treatment are...

Prognostic assessment of osteolytic lesions and mechanical properties of bones bearing breast cancer using neural network and finite element analysis.

The management of skeletal-related events (SREs), particularly the prevention of pathological fractu...

Multimodal contrastive learning for enhanced explainability in pediatric brain tumor molecular diagnosis.

Despite the promising performance of convolutional neural networks (CNNs) in brain tumor diagnosis f...

Development and validation of a nomogram for predicting bone marrow involvement in lymphoma patients based on F-FDG PET radiomics and clinical factors.

OBJECTIVE: This study aimed to develop and validate a nomogram combining F-FDG PET radiomics and cli...

Deep Learning Based on Ultrasound Images Differentiates Parotid Gland Pleomorphic Adenomas and Warthin Tumors.

Exploring the clinical significance of employing deep learning methodologies on ultrasound images fo...

Internal Target Volume Estimation for Liver Cancer Radiation Therapy Using an Ultra Quality 4-Dimensional Magnetic Resonance Imaging.

PURPOSE: Accurate internal target volume (ITV) estimation is essential for effective and safe radiat...

Multiomics evaluation and machine learning optimize molecular classification, prediction of prognosis and immunotherapy response for ovarian cancer.

BACKGROUND: Ovarian cancer (OC), owing to its substantial heterogeneity and high invasiveness, has h...

Artificial intelligence for tumor [F]FDG-PET imaging: Advancement and future trends-part I.

The advent of sophisticated image analysis techniques has facilitated the extraction of increasingly...

Advancements in Circulating Tumor Cell Detection for Early Cancer Diagnosis: An Integration of Machine Learning Algorithms with Microfluidic Technologies.

Circulating tumor cells (CTCs) are vital indicators of metastasis and provide a non-invasive method ...

Exploring the Incremental Value of Aorta Enhancement Normalization Method in Evaluating Renal Cell Carcinoma Histological Subtypes: A Multi-center Large Cohort Study.

RATIONALE AND OBJECTIVES: The classification of renal cell carcinoma (RCC) histological subtypes pla...

Decision tree-based machine learning algorithm for prediction of acute radiation esophagitis.

BACKGROUND: Radiation-induced esophagitis remains a significant challenge in thoracic and neck cance...

Artificial intelligence-based multimodal prediction for nuclear grading status and prognosis of clear cell renal cell carcinoma: a multicenter cohort study.

BACKGROUND: The assessment of the International Society of Urological Pathology (ISUP) nuclear grade...

Deciphering aging-associated prognosis and heterogeneity in gastric cancer through a machine learning-driven approach.

Gastric cancer (GC) is a prevalent malignancy with a high mortality rate and limited treatment optio...

Artificial-intelligence-enhanced ECG: a potential solution to limitations of ECG in detecting left ventricular dysfunction after chemotherapy.

Development and Multi-center validation of a machine learning Model for advanced colorectal neoplasms screening.

BACKGROUND: In colorectal cancer (CRC) screening programs, accurately identifying individuals at hig...

ResTransUNet: A hybrid CNN-transformer approach for liver and tumor segmentation in CT images.

BACKGROUND AND OBJECTIVE: Accurate medical tumor segmentation is critical for early diagnosis and tr...

Identification of testicular cancer with T2-weighted MRI-based radiomics and automatic machine learning.

BACKGROUND: Distinguishing between benign and malignant testicular lesions on clinical magnetic reso...