Oncology/Hematology

Cystic cervical lymph nodes of papillary thyroid carcinoma, tuberculosis and human papillomavirus positive oropharyngeal squamous cell carcinoma: utility of deep learning in their differentiation on CT.

OBJECTIVES: Cervical lymph nodes with internal cystic changes are seen with several pathologies, inc...

Diagnosis of cholangiocarcinoma from microscopic hyperspectral pathological dataset by deep convolution neural networks.

This paper focuses on automatic Cholangiocarcinoma (CC) diagnosis from microscopic hyperspectral (HS...

Robot-assisted Cystectomy with Intracorporeal Urinary Diversion After Pelvic Irradiation for Prostate Cancer: Technique and Results from a Single High-volume Center.

BACKGROUND: Radiation therapy (RT) for prostate cancer (PCa) treatment is burdened by high rates of ...

Interpretation of allele-specific chromatin accessibility using cell state-aware deep learning.

Genomic sequence variation within enhancers and promoters can have a significant impact on the cellu...

Ability of artificial intelligence to detect T1 esophageal squamous cell carcinoma from endoscopic videos and the effects of real-time assistance.

Diagnosis using artificial intelligence (AI) with deep learning could be useful in endoscopic examin...

Role of AI and Histopathological Images in Detecting Prostate Cancer: A Survey.

Prostate cancer is one of the most identified cancers and second most prevalent among cancer-related...

Predicting cell invasion in breast tumor microenvironment from radiological imaging phenotypes.

BACKGROUND: The abundance of immune and stromal cells in the tumor microenvironment (TME) is informa...

Evaluating eligibility criteria of oncology trials using real-world data and AI.

There is a growing focus on making clinical trials more inclusive but the design of trial eligibilit...

Establishing a consensus for the hallmarks of cancer based on gene ontology and pathway annotations.

BACKGROUND: The hallmarks of cancer provide a highly cited and well-used conceptual framework for de...

DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines.

High-throughput screening technologies have provided a large amount of drug sensitivity data for a p...

An integrated deep learning and dynamic programming method for predicting tumor suppressor genes, oncogenes, and fusion from PDB structures.

Mutations in proto-oncogenes (ONGO) and the loss of regulatory function of tumor suppression genes (...

Machine learning-based investigation of the cancer protein secretory pathway.

Deregulation of the protein secretory pathway (PSP) is linked to many hallmarks of cancer, such as p...

Can artificial intelligence overtake human intelligence on the bumpy road towards glioma therapy?

Gliomas are one of the most devastating primary brain tumors which impose significant management cha...

Quantitative Molecular Positron Emission Tomography Imaging Using Advanced Deep Learning Techniques.

The widespread availability of high-performance computing and the popularity of artificial intellige...

Robot-assisted laparoscopic surgery combined with axitinib for renal cell carcinoma and inferior vena cava tumor thrombi in a patient with severe obesity and obstructive sleep apnea-hypopnea syndrome: A case report.

Will It Play in Peoria? A Pilot Study of a Robotic Skills Curriculum for Surgical Oncology Fellows.

INTRODUCTION: To implement a mastery-based robotic surgery curriculum using virtual reality (VR) and...

Automated system for diagnosing endometrial cancer by adopting deep-learning technology in hysteroscopy.

Endometrial cancer is a ubiquitous gynecological disease with increasing global incidence. Therefore...

Simulating reference crop evapotranspiration with different climate data inputs using Gaussian exponential model.

Obtaining accurate data on reference crop evapotranspiration (ET) is important for agricultural wate...

Development and Validation of a Radiomics Model for Differentiating Bone Islands and Osteoblastic Bone Metastases at Abdominal CT.

Background It is important to diagnose sclerotic bone lesions in order to determine treatment strate...

Single-stage Xi® robotic radical nephroureterectomy for upper tract urothelial carcinoma: surgical technique and outcomes.

BACKGROUND: Radical nephroureterectomy (RNU) represents the standard of care for high grade upper tr...

An introduction to machine learning for clinicians: How can machine learning augment knowledge in geriatric oncology?