A Semiautomated Chart Review for Assessing the Development of Radiation Pneumonitis Using Natural Language Processing: Diagnostic Accuracy and Feasibility Study

Natural Language Processing of Prehospital Emergency Medical Services Trauma Records Allows for Automated Characterization of Treatment Appropriateness

(2020) Christopher J. Tignanelli et al.   Journal of Trauma and Acute Care Surgery

Dosiomics: Extracting 3D Spatial Features From Dose Distribution to Predict Incidence of Radiation Pneumonitis

(2019) Bin Liang et al.   Frontiers in Oncology

Natural language processing of electronic health records is superior to billing codes to identify symptom burden in hemodialysis patients

(2019) Lili Chan et al.   KIDNEY INTERNATIONAL

Artificial Intelligence Algorithms and Natural Language Processing for the Recognition of Syncope Patients on Emergency Department Medical Records

(2019) Franca Dipaola et al.   Journal of Clinical Medicine

Artificial intelligence approaches using natural language processing to advance EHR-based clinical research

(2019) Young Juhn et al.   JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY

Automated chart review utilizing natural language processing algorithm for asthma predictive index

(2018) Harsheen Kaur et al.   BMC Pulmonary Medicine

Natural Language Processing: An Opportunity to Make Chart Data Come Alive in Palliative Care Research (FR481A)

(2017) Charlotta Lindvall et al.   JOURNAL OF PAIN AND SYMPTOM MANAGEMENT

Incorporation of pre-therapy 18 F-FDG uptake data with CT texture features into a radiomics model for radiation pneumonitis diagnosis

(2017) Gregory J. Anthony et al.   MEDICAL PHYSICS

Immunological Aspect of Radiation-Induced Pneumonitis, Current Treatment Strategies, and Future Prospects

(2017) Anup Kainthola et al.   Frontiers in Immunology

Predicting Radiation Pneumonitis After Chemoradiation Therapy for Lung Cancer: An International Individual Patient Data Meta-analysis

(2013) David A. Palma et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS