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