PublicationAIRheumLessons Learned from the Development of Machine Learning Models to Estimate Validated Measures of Disease Activity and Symptom Severity Using Real-World Data for Four Chronic ConditionsDownload
PublicationAIRheumMachine Learning Models to Estimate Disease Activity Measures in Real-World Data Sources: Lessons Learned from Four Autoimmune DiseasesDownload
PublicationAIRheumValidation of a Machine Learning Approach to Estimate Clinical Disease Activity Index Scores for Rheumatoid ArthritisRead more
PublicationAIDataRheumPrediction of Non-Response to First-Line Methotrexate Treatment in Rheumatoid Arthritis: A Real-World Data Analysis Using Machine LearningDownload
PublicationAIDataRheumValidation of a Machine Learning Approach to Estimate Systemic Lupus Erythematosus Disease Activity Index Score Categories and Application in a Real-World DatasetDownload
PublicationAIRheumComparison of an AI–Enabled Patient Decision Aid vs Educational Material on Decision Quality, Shared Decision-Making, Patient Experience, and Functional Outcomes in Adults with Knee Osteoarthritis: A Randomized Clinical TrialRead more
PublicationAIMental HealthAI-Based Estimation of the CGI-I to Address Gaps in Real-World Data and Increase Study Sample SizeDownload
PublicationAIMental HealthDevelopment of a Machine Learning Model for Estimating CGI-I Scores Using Electronic Medical Records from Real-World Data Sources in Schizophrenia, Bipolar I and Major Depressive DisorderDownload
PublicationAIMental HealthA machine learning model using clinical notes to estimate PHQ-9 symptom severity scores in depressed patientsDownload
PublicationAIMental HealthIdentification of Treatment Resistant Major Depressive Disorder using a Machine Learning AlgorithmDownload
PublicationAIMental HealthUse of Medical Language Processing in Real-World Data to Understand Antidepressant Side Effects and Improve Research in Mental HealthDownload
PublicationAIMental HealthDevelopment of a Machine Learning Model for Estimating PHQ-9 Scores Using Clinical Notes from Real-World Data SourcesDownload
PublicationAIMental HealthThe Association Between Credit Risk Score and Major Depressive Disorder Burden Using a Machine Learning Estimation of the PHQ-9 in a Real-World CohortDownload
PublicationAIMental HealthUse of a Natural Language Processing-Based Approach to Extract Depression Symptom Severity and Suicide Ideation from Clinical Notes to Support Depression ResearchDownload
PublicationAINeuroCharacterizing Disease Progression in Multiple Sclerosis Subtypes Using RWD: Feasibility of Applying a Machine Learning Model to Address Missing DataDownload
PublicationAINeuroValidation of a Machine Learning Approach to Estimate Expanded Disability Status Scale Scores for Multiple Sclerosis.Read more
PublicationAINeuroPredicting Relapse Episodes in Patients with Multiple Sclerosis Treated with Disease Modifying Therapies in a Large Representative US-Based Real World CohortDownload
PublicationAICardioA Highly Predictive Machine Learning Model to Identify Hospitalized Patients at Risk for 30-day Readmission or MortalityRead more
PublicationAICardioMachine Learning Generated Risk Model to Predict Unplanned Hospital Admission in Heart FailureDownload
PublicationAICardioPredicting Disease Progression in Non-Alcoholic Steatohepatitis (NASH) Patients with Early Stage Fibrosis Within a Large, Representative Real-World Database of US PatientsRead more
PublicationAICardioIdentifying Progressing Patients in an Artificial Intelligence (AI) Based Cohort of Nonalcoholic Steatohepatitis (NASH)Download
PublicationAICardioFindings From a Non-Alcoholic Steatohepatitis (NASH) Cohort Developed via Artificial Intelligence in a Large Representative Population in the U.S.Download
PublicationAIDermUsing AI to Predict Progression from Psoriasis to Psoriatic Arthritis in a Real-World Dataset.Download
PublicationAIOncologyMammographic Screening in Routine Practice: Multisite Study of Digital Breast Tomosynthesis and Digital Mammography ScreeningsDownload
PublicationAIRareA New Approach to Identifying Patients with Elevated Risk for Fabry Disease Using a Machine Learning Algorithm.Read more
