Representing and utilizing clinical textual data for real world studies: An OHDSI approach Keloth et al., 2023Abstract Clinical documentation in electronic health records contains crucial narratives and details about patients and their care. Natural language processing (NLP) can unlock the information conveyed in clinical…
Transformation of Pathology Reports Into the Common Data Model With Oncology Module: Use Case for Colon Cancer Ryu et al., 2020Abstract Background: Common data models (CDMs) help standardize electronic health record data and facilitate outcome analysis for observational and longitudinal research.…
OMOP CDM Can Facilitate Data-Driven Studies for Cancer Prediction: A Systematic Review Ahmadi et al., 2022Abstract The current generation of sequencing technologies has led to significant advances in identifying novel disease-associated mutations and generated large amounts of data in a…
Validation of a Deep Learning–Based Model to Predict Lung Cancer Risk Using Chest Radiographs and Electronic Medical Record Data Raghu et al., 2022Abstract Importance: Lung cancer screening with chest computed tomography (CT) prevents lung cancer death; however, fewer than 5% of…
Deep Learning for Medical Image-Based Cancer Diagnosis Jiang et al., 2023Abstract Background: The application of deep learning technology to realize cancer diagnosis based on medical images is one of the research hotspots in the field of artificial intelligence and computer…
Research on Segmentation Technology in Lung Cancer Radiotherapy Based on Deep Learning (Huang et al., 2023)Abstract Background: Lung cancer has the highest mortality rate among cancers. Radiation therapy (RT) is one of the most effective therapies for lung cancer. The correct…
Lung Cancer Screening, Version 3.2018, NCCN Clinical Practice Guidelines in Oncology (Wood et al., 2018)Abstract Lung cancer is the leading cause of cancer-related mortality in the United States and worldwide. Early detection of lung cancer is an important opportunity for…
International expert consensus on diagnosis and treatment of lung cancer complicated by chronic obstructive pulmonary disease (Zhou et al., 2023)Abstract Background: Lung cancer combined by chronic obstructive pulmonary disease (LC-COPD) is a common comorbidity and their interaction with each other…
Risk prediction models for lung cancer: Perspectives and dissemination (Tang et al., 2019)Abstract Objective: The objective was to systematically assess lung cancer risk prediction models by critical evaluation of methodology, transparency and validation in order to provide a direction for…
A Review of Deep Learning Techniques for Lung Cancer Screening and Diagnosis Based on CT Images (Thanoon et al., 2023)Abstract One of the most common and deadly diseases in the world is lung cancer. Only early identification of lung cancer…
