Validation of Non–Small Cell Lung Cancer Clinical Insights Using a Generalized Oncology Natural Language Processing Model

2024-9-1

Machine Learning–Driven Phenogrouping and Cardiorespiratory Fitness Response in Metastatic Breast Cancer

2024-9-1

Harnessing Natural Language Processing to Assess Quality of End-of-Life Care for Children With Cancer

2024-9-1

Large Language Models to Help Appeal Denied Radiotherapy Services

2024-9-1

Increasing Power in Phase III Oncology Trials With Multivariable Regression: An Empirical Assessment of 535 Primary End Point Analyses

2024-8-30

Application of a Data Quality Framework to Ductal Carcinoma In Situ Using Electronic Health Record Data From the <i>All of Us</i> Research Program

2024-8-1

Machine Learning–Based Prediction of 1-Year Survival Using Subjective and Objective Parameters in Patients With Cancer

2024-8-1

The More, the Better? Modalities of Metastatic Status Extraction on Free Medical Reports Based on Natural Language Processing

2024-8-1

Development and Validation of a Natural Language Processing Algorithm for Extracting Clinical and Pathological Features of Breast Cancer From Pathology Reports

2024-8-1

Response to Kempf et al on Methodological and Practical Aspects of a Distant Metastasis Detection Model

2024-8-1

Natural Language Processing Accurately Differentiates Cancer Symptom Information in Electronic Health Record Narratives

2024-8-1

Emergence of Digital Toxicity and the Need for an Integrated, Patient-Centric Approach to the Development, Evaluation, and Use of Digital Health Tools for Oncology

2024-8-1

Prostate-Specific Antigen Screening and Prostate Cancer Mortality: An Emulation of Target Trials in US Medicare

2024-8-1

Automated Extraction of Patient-Centered Outcomes After Breast Cancer Treatment: An Open-Source Large Language Model–Based Toolkit

2024-8-1

Insights Into the Patient Experience of Hormone Therapy for Early Breast Cancer Treatment Using Patient Forum Discussions and Natural Language Processing

2024-8-1

Clinical Calculator for Predicting Freedom From Recurrence After Resection of Stage I-III Colon Cancer in Patients With Microsatellite Instability

2024-8-1

Deep-Transfer-Learning–Based Natural Language Processing of Serial Free-Text Computed Tomography Reports for Predicting Survival of Patients With Pancreatic Cancer

2024-8-1

Classification and Regression Trees to Predict for Survival for Patients With Hepatocellular Carcinoma Treated With Atezolizumab and Bevacizumab

2024-8-1

Evaluation of Real-World Tumor Response Derived From Electronic Health Record Data Sources: A Feasibility Analysis in Patients With Metastatic Non–Small Cell Lung Cancer Treated With Chemotherapy

2024-8-1

<i>Cureit</i>: An End-to-End Pipeline for Implementing Mixture Cure Models With an Application to Liposarcoma Data

2024-8-1

Interinstitutional Approach to Advancing Geospatial Technologies for US Cancer Centers

2024-8-1

Natural Language Processing Algorithm to Extract Multiple Myeloma Stage From Oncology Notes in the Veterans Affairs Healthcare System

2024-7-1

Predicting Benefit From FOLFOXIRI Plus Bevacizumab in Patients With Metastatic Colorectal Cancer

2024-7-1

Clinical Validation of Mathematically Derived Early Tumor Dynamics for Solid Tumors in Response to Durvalumab

2024-7-1

External Validation and Update of the Risk Prediction Model for Denosumab-Induced Hypocalcemia Developed From a Hospital-Based Administrative Database

2024-7-1

Identification of Novel DNA Methylation Prognostic Biomarkers for AML With Normal Cytogenetics

2024-7-1

Deep Learning-Based Dynamic Risk Prediction of Venous Thromboembolism for Patients With Ovarian Cancer in Real-World Settings From Electronic Health Records

2024-7-1

Feasibility of a Smartphone Application for Education and Symptom Management of Patients With Renal Cell Carcinoma on Combined Tyrosine Kinase and Immune Checkpoint Inhibitors

2024-7-1

Development of a Web-Based Interactive Tool for Visualizing Breast Cancer Clinical Trial Tolerability Data

2024-7-1

Assessing Patient Perspectives and the Health Equity of a Digital Cancer Symptom Remote Monitoring and Management System

2024-7-1

Potential Role of Generative Adversarial Networks in Enhancing Brain Tumors

2024-7-1

Leveraging Electronic Health Record Data to Understand Gaps Underlying the Underdiagnosis of Lynch Syndrome

2024-6-1

Improving Diagnosis and Care for Patients With Sarcoma: Do Real-World General Practitioners Data and Prospective Data Collections Have a Place Next to Clinical Trials?

2024-6-1

Improving Clinical Registry Data Quality via Linkage With Survival Data From State-Based Population Registries

2024-6-1

Minimal Common Oncology Data Elements Genomics Pilot Project: Enhancing Oncology Research Through Electronic Health Record Interoperability at Vanderbilt University Medical Center

2024-6-1

Explainable Machine Learning Model to Predict Overall Survival in Patients Treated With Palliative Radiotherapy for Bone Metastases

2024-6-1

MOSAIC: An Artificial Intelligence–Based Framework for Multimodal Analysis, Classification, and Personalized Prognostic Assessment in Rare Cancers

2024-6-1

Population-Level Identification of Patients With Lynch Syndrome for Clinical Care, Quality Improvement, and Research

2024-6-1

Associations Between Radiation Oncologist Demographic Factors and Segmentation Similarity Benchmarks: Insights From a Crowd-Sourced Challenge Using Bayesian Estimation

2024-6-1

Clarifying Causal Effects of Interest and Underlying Assumptions in Randomized and Nonrandomized Clinical Trials in Oncology Using Directed Acyclic Graphs and Single-World Intervention Graphs

2024-6-1

When Will Real-World Data Fulfill Its Promise to Provide Timely Insights in Oncology?

2024-6-1

Future of Cancer Treatment Guidelines: Integrating Real-World Insights for Equitable Cancer Care

2024-6-1

Erratum: Phenotyping Hepatic Immune-Related Adverse Events in the Setting of Immune Checkpoint Inhibitor Therapy

2024-6-1

National Implementation of an Artificial Intelligence–Based Virtual Dietitian for Patients With Cancer

2024-6-1

Phenotyping Hepatic Immune-Related Adverse Events in the Setting of Immune Checkpoint Inhibitor Therapy

2024-6-1

Extraction of Unstructured Electronic Health Records to Evaluate Glioblastoma Treatment Patterns

2024-6-1

Extracting Systemic Anticancer Therapy and Response Information From Clinical Notes Following the RECIST Definition

2024-6-1

Prostate Cancer Risk Stratification by Digital Histopathology and Deep Learning

2024-6-1

Oncologists Must Consider Participant Data When Using Large-Scale Cancer Data Sets

2024-6-1

Addressing the Historic Challenges of <i>BRCA1</i> and <i>BRCA2</i> Variant Curation and the Need for More Diverse Representation

2024-6-1