#JCOCCI
I'm honored to publish this article with great colleagues: Informatics Perspectives on the National Cancer Policy Forum Workshop “Enabling 21st Century Applications for Cancer Surveillance Through Enhanced Registries and Beyond” | JCO Clinical Cancer Informatics ascopubs.org/doi/10.1200/... #JCOCCI
Informatics Perspectives on the National Cancer Policy Forum Workshop “Enabling 21st Century Applications for Cancer Surveillance Through Enhanced Registries and Beyond” | JCO Clinical Cancer Informat...
The National Cancer Policy Forum workshop Enabling 21st Century Applications for Cancer Surveillance Through Enhanced Registries and Beyond examined the current state of cancer registries and how they...
ascopubs.org
November 20, 2025 at 1:53 PM
Reimagining Evidence: Artificial Intelligence Synthetic Data Generation for Cancer Research | JCO Clinical Cancer Informatics ascopubs.org/doi/full/10.... #JCOCCI
Reimagining Evidence: Artificial Intelligence Synthetic Data Generation for Cancer Research | JCO Clinical Cancer Informatics
ascopubs.org
November 19, 2025 at 5:55 PM
Rapid Growth in Patient Portal Messages Underscores the Need for Actionable Paths Forward | JCO Clinical Cancer Informatics ascopubs.org/doi/full/10.... #JCOCCI
Rapid Growth in Patient Portal Messages Underscores the Need for Actionable Paths Forward | JCO Clinical Cancer Informatics
ascopubs.org
November 5, 2025 at 11:03 PM
Large Language Models in Population Oncology: A Contemporary Review on the Use of Large Language Models to Support Data Collection, Aggregation, and Analysis in Cancer Care and Research |
@julianhong.bsky.social @ucsf-bchsi.bsky.social team via #JCOCCI ascopubs.org/doi/abs/10.1...
October 27, 2025 at 6:05 PM
Exciting new article: Clinician's Artificial Intelligence Checklist and Evaluation Questionnaire: Tools for Oncologists to Assess Artificial Intelligence and Machine Learning Models | JCO Clinical Cancer Informatics ascopubs.org/doi/abs/10.1... #JCOCCI @ascocancer.bsky.social
Clinician's Artificial Intelligence Checklist and Evaluation Questionnaire: Tools for Oncologists to Assess Artificial Intelligence and Machine Learning Models | JCO Clinical Cancer Informatics
Advancements in oncology are accelerating in the fields of artificial intelligence (AI) and machine learning. The complexity and multidisciplinary nature of oncology necessitate a cautious approach to...
ascopubs.org
September 24, 2025 at 4:18 PM
We're thrilled to be here on BlueSky to bring you the latest practice-changing oncology research from all six JCO Journals! Follow-us for great content from #JCO, #JCOOP, #JCOGO, #JCOPO, #JCOCCI, & #JCOOA.
September 19, 2025 at 2:00 PM
Enhancing Readability of Lay Abstracts and Summaries for Urologic Oncology Literature Using Generative Artificial Intelligence: BRIDGE-AI 6 Randomized Controlled Trial | JCO Clinical Cancer Informatics ascopubs.org/doi/abs/10.1... #JCOCCI
Enhancing Readability of Lay Abstracts and Summaries for Urologic Oncology Literature Using Generative Artificial Intelligence: BRIDGE-AI 6 Randomized Controlled Trial | JCO Clinical Cancer Informatic...
PURPOSETo evaluate a generative artificial intelligence (GAI) framework for creating readable lay abstracts and summaries (LASs) of urologic oncology research, while maintaining accuracy, completeness...
ascopubs.org
September 19, 2025 at 12:17 PM
Evaluating the Minimal Common Oncology Data Elements Suitability in Enhancing Clinical Observational Research | JCO Clinical Cancer Informatics ascopubs.org/doi/full/10.... #JCOCCI #mCODE
ASCO Publications
ascopubs.org
September 3, 2025 at 9:39 PM
Review and Commentary on Digital Pathology and Artificial Intelligence in Pathology | JCO Clinical Cancer Informatics ascopubs.org/doi/full/10.... #JCOCCI
ASCO Publications
ascopubs.org
September 3, 2025 at 9:38 PM
Safe and Responsible Use of Artificial Intelligence in Health Care: Current Regulatory Landscape and Considerations for Regulatory Policy | JCO Clinical Cancer Informatics ascopubs.org/doi/abs/10.1... #JCOCCI
Safe and Responsible Use of Artificial Intelligence in Health Care: Current Regulatory Landscape and Considerations for Regulatory Policy | JCO Clinical Cancer Informatics
The integration of artificial intelligence (AI) into health care promises transformative advancements in diagnostics, treatment, and operational efficiency. However, this transformation introduces sig...
ascopubs.org
August 27, 2025 at 5:26 PM
Machine Learning Model Integrating Computed Tomography Image–Derived Radiomics and Circulating miRNAs to Predict Residual Teratoma in Metastatic Nonseminoma Testicular Cancer | JCO Clinical Cancer Informatics ascopubs.org/doi/full/10.... #JCOCCI
Machine Learning Model Integrating Computed Tomography Image–Derived Radiomics and Circulating miRNAs to Predict Residual Teratoma in Metastatic Nonseminoma Testicular Cancer | JCO Clinical Cancer Inf...
PURPOSEChemotherapy is the primary treatment for metastatic nonseminomatous germ cell tumors (mNSGCTs), but patients often encounter postchemotherapy residual disease. Accurate noninvasive methods are...
ascopubs.org
August 27, 2025 at 5:25 PM
Extraction of Social Determinants of Health From Electronic Health Records Using Natural Language Processing | JCO Clinical Cancer Informatics ascopubs.org/doi/full/10.... #JCOCCI
Extraction of Social Determinants of Health From Electronic Health Records Using Natural Language Processing | JCO Clinical Cancer Informatics
PURPOSESocial Determinants of Health (SDoH) have a significant effect on health outcomes and inequalities. SDoH can be extracted from electronic health records (EHR) to aid policy development and rese...
ascopubs.org
July 30, 2025 at 7:54 PM
Analysis of Tumor Microenvironmental Features Between Primary and Synchronous Liver Metastases From Patients With Colorectal Cancers Using a Deep Learning Algorithm | JCO Clinical Cancer Informatics ascopubs.org/doi/abs/10.1... #JCOCCI
Analysis of Tumor Microenvironmental Features Between Primary and Synchronous Liver Metastases From Patients With Colorectal Cancers Using a Deep Learning Algorithm | JCO Clinical Cancer Informatics
PURPOSEThe development of colorectal liver metastases (CRLMs) is associated with poor prognosis, and recent data suggest that metastasis to the liver is associated with resistance to immunotherapy. We...
ascopubs.org
July 25, 2025 at 1:20 PM
Deep Learning–Based Body Composition Analysis for Outcome Prediction in Relapsed/Refractory Diffuse Large B-Cell Lymphoma: Insights From the LOTIS-2 Trial | JCO Clinical Cancer Informatics ascopubs.org/doi/abs/10.1... #JCOCCI
Deep Learning–Based Body Composition Analysis for Outcome Prediction in Relapsed/Refractory Diffuse Large B-Cell Lymphoma: Insights From the LOTIS-2 Trial | JCO Clinical Cancer Informatics
PURPOSEThe present study aimed to investigate the role of body composition as an independent image-derived biomarker for clinical outcome prediction in a clinical trial cohort of patients with relapse...
ascopubs.org
July 25, 2025 at 1:20 PM
Consumer Wearable Device Measures of Gait Cadence and Activity Fragmentation as Predictors of Survival Among Patients Undergoing Chemotherapy | JCO Clinical Cancer Informatics ascopubs.org/doi/abs/10.1... #JCOCCI
Consumer Wearable Device Measures of Gait Cadence and Activity Fragmentation as Predictors of Survival Among Patients Undergoing Chemotherapy | JCO Clinical Cancer Informatics
PURPOSEConsumer wearable devices provide new opportunities for measuring patterns of objective daily physical activity throughout cancer treatment. In addition to capturing step counts, these devices ...
ascopubs.org
July 16, 2025 at 6:09 PM
Disparities in Patient Portal Messaging Among Oncology Patients Enrolled in the Patient Portal | JCO Clinical Cancer Informatics ascopubs.org/doi/abs/10.1... #JCOCCI
Disparities in Patient Portal Messaging Among Oncology Patients Enrolled in the Patient Portal | JCO Clinical Cancer Informatics
PURPOSEPrevious studies have consistently reported disparities in electronic health record portal enrollment. Among patients enrolled in a portal, it is less clear whether there are disparities in usa...
ascopubs.org
July 16, 2025 at 6:08 PM
Reliability of Large Language Model Knowledge Across Brand and Generic Cancer Drug Names | JCO Clinical Cancer Informatics ascopubs.org/doi/abs/10.1... #JCOCCI @daniellebitterman.bsky.social
Reliability of Large Language Model Knowledge Across Brand and Generic Cancer Drug Names | JCO Clinical Cancer Informatics
PURPOSETo evaluate the performance and consistency of large language models (LLMs) across brand and generic oncology drug names in various clinical tasks, addressing concerns about potential fluctuati...
ascopubs.org
June 18, 2025 at 5:15 PM
Novel Computational Pipeline Enables Reliable Diagnosis of Inverted Urothelial Papilloma and Distinguishes It From Urothelial Carcinoma ascopubs.org/doi/10.1200/... #JCOCCI #JCOJournals
ASCO Publications
ascopubs.org
March 14, 2025 at 1:49 AM
"These results demonstrate the feasibility of implementing natural language processing tools in the routine of a cancer center to extract and code valuable information from pathology reports." ascopubs.org/doi/10.1200/... #JCOCCI #JCOJournals #OpenAccess
ASCO Publications
ascopubs.org
February 26, 2025 at 8:46 PM
Check out this infographic from #JCOCCI that accompanies the recent article, Methodologic Approach to Defining Comorbidities in a Cohort of Patients With Cancer: An Example in the Optimal Breast Cancer Chemotherapy Dosing Study. ascopubs.org/doi/10.1200/...
February 18, 2025 at 5:29 PM
How to leverage laboratory data and/or International Classification of Diseases (ICD) codes from electronic health records to define comorbidities in observational cancer treatment studies? Read our new #JCOCCI publication to find out! ascopubs.org/doi/full/10.... @emiliemgunn.bsky.social
February 18, 2025 at 3:40 PM
Now online from #JCOCCI: development & validation of computable phenotype algorithms using electronic health records from University of Florida Health Integrated Data Repository to identify individual's eligibility for lung cancer screening in real-world settings. ascopubs.org/doi/full/10.... #lcsm
Toward a Computable Phenotype for Determining Eligibility of Lung Cancer Screening Using Electronic Health Records | JCO Clinical Cancer Informatics
PURPOSELung cancer screening (LCS) has the potential to reduce mortality and detect lung cancer at its early stages, but the high false-positive rate associated with low-dose computed tomography (LDCT...
ascopubs.org
January 17, 2025 at 4:35 PM
Today in #JCOCCI: Toward a Computable Phenotype for Determining Eligibility of Lung Cancer Screening Using Electronic Health Records ascopubs.org/doi/10.1200/...
#JCOJournals #oncsky
ASCO Publications
ascopubs.org
January 17, 2025 at 12:22 AM
New in #JCOCCI: "Clinical DCE-MRI data may be leveraged to provide stable perfusion fit results and indirectly interrogate the tumor microenvironment. These fits can then be used downstream for prediction of response to NACT with high accuracy." ascopubs.org/doi/10.1200/...
#JCOCCI #JCOJournals
Validation of Clinical Dynamic Contrast-Enhanced Magnetic Resonance Imaging Perfusion Modeling and Neoadjuvant Chemotherapy Response Prediction in Breast Cancer Using 18FDG and 64Cu-DOTA-Trastuzumab P...
PURPOSEPerfusion modeling presents significant opportunities for imaging biomarker development in breast cancer but has historically been held back by the need for data beyond the clinical standard of...
ascopubs.org
January 15, 2025 at 3:44 PM
New in #JCOCCI: Rebecca A. Miksad and Somnath Sarkar discuss evaluating cancer screening in the era of advanced causal inference methods. What does this mean for cancer care? Read the editorial today. ascopubs.org/doi/abs/10.1... @ascocancer.bsky.social
ASCO Publications
ascopubs.org
January 13, 2025 at 8:37 PM