Kenneth D. Mandl
YOU?
Author Swipe
View article: Pulmonary Hemodynamics and Long-Term Outcomes in Children with Pulmonary Hypertension-Associated Bronchopulmonary Dysplasia
Pulmonary Hemodynamics and Long-Term Outcomes in Children with Pulmonary Hypertension-Associated Bronchopulmonary Dysplasia Open
View article: A standards-based approach to digital health research: implementing the people heart study
A standards-based approach to digital health research: implementing the people heart study Open
Objective To assess whether HL7 Fast Healthcare Interoperability Resources (FHIR) can underpin a fully standards-based, end-to-end digital research architecture, demonstrate it in a live study, and quantify its benefits for interoperabilit…
View article: Regulating Flexibility for Artificial Intelligence FDA Experience with Predetermined Change Control Plans
Regulating Flexibility for Artificial Intelligence FDA Experience with Predetermined Change Control Plans Open
Importance Predetermined Change Control Plans (PCCPs) are a recent regulatory innovation by the U.S. Food and Drug Administration (FDA) introduced to enable dynamic oversight of artificial intelligence and machine learning (AI/ML)-enabled …
View article: Large Language Model Symptom Identification From Clinical Text: Multicenter Study
Large Language Model Symptom Identification From Clinical Text: Multicenter Study Open
Background Recognizing patient symptoms is fundamental to medicine, research, and public health. However, symptoms are often underreported in coded formats even though they are routinely documented in physician notes. Large language models…
View article: Identifying undiagnosed high-risk suicidality cases through comorbidity-adjusted risk modeling
Identifying undiagnosed high-risk suicidality cases through comorbidity-adjusted risk modeling Open
Background Suicide is the second leading cause of death for patients aged 10 to 26 years old. Pediatric suicidality is underreported, which poses significant challenges for effective intervention and prevention strategies. Identifying popu…
View article: A Weakly Supervised Transformer for Rare Disease Diagnosis and Subphenotyping from EHRs with Pulmonary Case Studies
A Weakly Supervised Transformer for Rare Disease Diagnosis and Subphenotyping from EHRs with Pulmonary Case Studies Open
Rare diseases affect an estimated 300-400 million people worldwide, yet individual conditions remain underdiagnosed and poorly characterized due to their low prevalence and limited clinician familiarity. Computational phenotyping offers a …
View article: Generative artificial intelligence in medicine: a mixed-methods survey of UK general practitioners
Generative artificial intelligence in medicine: a mixed-methods survey of UK general practitioners Open
Objective To explore the opinions of general practitioners (GPs) in the UK about the use of generative artificial intelligence (AI) tools in primary care. Methods and analysis At the beginning of 2024, using a convenience sample, we admini…
View article: Data-driven clustering identifies features distinguishing multisystem inflammatory syndrome from acute COVID-19 in children and adolescents
Data-driven clustering identifies features distinguishing multisystem inflammatory syndrome from acute COVID-19 in children and adolescents Open
View article: Personalized Immune Profiling in Pediatric Transplant Recipients: Linking Atypical B Cells to Vaccine Response
Personalized Immune Profiling in Pediatric Transplant Recipients: Linking Atypical B Cells to Vaccine Response Open
Immunosuppression in solid organ transplant recipients inhibits protective immune responsiveness to pathogens and vaccines. However, specific cell states that associate with failure to generate protective immunity are not known. Here, we p…
View article: General Practitioners’ Experiences with Generative Artificial Intelligence in the UK: An Online Survey
General Practitioners’ Experiences with Generative Artificial Intelligence in the UK: An Online Survey Open
Background Following the launch of ChatGPT in November 2022, interest in large language model-powered chatbots has soared with increasing focus on the clinical potential of these tools. Building on a previous survey conducted in 2024, we s…
View article: Discordance between a deep learning model and clinical-grade variant pathogenicity classification in a rare disease cohort
Discordance between a deep learning model and clinical-grade variant pathogenicity classification in a rare disease cohort Open
View article: Representation Learning to Advance Multi-institutional Studies with Electronic Health Record Data
Representation Learning to Advance Multi-institutional Studies with Electronic Health Record Data Open
The adoption of EHRs has expanded opportunities to leverage data-driven algorithms in clinical care and research. A major bottleneck in effectively conducting multi-institutional EHR studies is the data heterogeneity across systems with nu…
View article: Accuracy of ICD-10 Codes for Suicidal Ideation and Action in Pediatric Emergency Department Encounters
Accuracy of ICD-10 Codes for Suicidal Ideation and Action in Pediatric Emergency Department Encounters Open
Objectives: According to the ideation-to-action framework of suicidality, suicidal ideation and suicidal action arise via distinct trajectories. Studying suicidality under this framework requires accurate identification of both ideation an…
View article: Generative Artificial Intelligence in Medicine: A Mixed Methods Survey of UK General Practitioners
Generative Artificial Intelligence in Medicine: A Mixed Methods Survey of UK General Practitioners Open
Background: With the debut of OpenAI’s ChatGPT, there has been growing interest in the use of generative artificial intelligence (AI), including in healthcare. However, there is only limited research into doctors’ adoption of these tools a…
View article: The potential of Generative Pre-trained Transformer 4 (GPT-4) to analyse medical notes in three different languages: a retrospective model-evaluation study
The potential of Generative Pre-trained Transformer 4 (GPT-4) to analyse medical notes in three different languages: a retrospective model-evaluation study Open
None.
View article: Publisher Correction: Conflict of interest disclosure in biomedical research: a review of current practices, biases, and the role of public registries in improving transparency
Publisher Correction: Conflict of interest disclosure in biomedical research: a review of current practices, biases, and the role of public registries in improving transparency Open
View article: Large Language Model Symptom Identification from Clinical Text: A Multi-Center Study
Large Language Model Symptom Identification from Clinical Text: A Multi-Center Study Open
Recognition of patient symptoms is core to medicine, research, and public health. We tested four large language models (LLMs) identifying 11 symptoms of infectious respiratory diseases from emergency department notes (N=204). Each LLM outp…
View article: Multisource representation learning for pediatric knowledge extraction from electronic health records
Multisource representation learning for pediatric knowledge extraction from electronic health records Open
Electronic Health Record (EHR) systems are particularly valuable in pediatrics due to high barriers in clinical studies, but pediatric EHR data often suffer from low content density. Existing EHR code embeddings tailored for the general pa…
View article: Development and validation of a near-comprehensive RxNorm valueset of opioid medications
Development and validation of a near-comprehensive RxNorm valueset of opioid medications Open
Objective Develop a near-comprehensive opioid medications valueset for population measures of opioid related treatments and outcomes. The opioid valueset should be free, open source, and conform to the RxNorm standard federally mandated in…
View article: Generative Artificial Intelligence in Medicine: A Mixed Methods Survey of UK General Practitioners (Preprint)
Generative Artificial Intelligence in Medicine: A Mixed Methods Survey of UK General Practitioners (Preprint) Open
BACKGROUND Since November 2022, with the debut of OpenAI’s ChatGPT, there has been growing interest in the use of generative artificial intelligence (AI), including in healthcare. However, there is only limited research into doctors’ adop…
View article: Generative artificial intelligence in primary care: an online survey of UK general practitioners
Generative artificial intelligence in primary care: an online survey of UK general practitioners Open
Objectives Following the launch of ChatGPT in November 2022, interest in large language model-powered chatbots has soared with increasing focus on the clinical potential of these tools. We sought to measure general practitioners’ (GPs) cur…
View article: Accuracy of ICD-10 codes for suicidal ideation and action in pediatric emergency department encounters
Accuracy of ICD-10 codes for suicidal ideation and action in pediatric emergency department encounters Open
Objectives According to the ideation-to-action framework of suicidality, suicidal ideation and suicidal action arise via distinct trajectories. Studying suicidality under this framework requires accurate identification of both ideation and…
View article: Discordance between a deep learning model and clinical-grade variant pathogenicity classification in a rare disease cohort
Discordance between a deep learning model and clinical-grade variant pathogenicity classification in a rare disease cohort Open
Genetic testing has become an essential component in the diagnosis and management of a wide range of clinical conditions, from cancer to developmental disorders, especially in rare Mendelian diseases. Efforts to identify rare phenotype-ass…
View article: Moving Biosurveillance Beyond Coded Data Using AI for Symptom Detection From Physician Notes: Retrospective Cohort Study
Moving Biosurveillance Beyond Coded Data Using AI for Symptom Detection From Physician Notes: Retrospective Cohort Study Open
Background Real-time surveillance of emerging infectious diseases necessitates a dynamically evolving, computable case definition, which frequently incorporates symptom-related criteria. For symptom detection, both population health monito…
View article: GSDMB/ORMDL3 Rare/Common Variants Are Associated with Inhaled Corticosteroid Response among Children with Asthma
GSDMB/ORMDL3 Rare/Common Variants Are Associated with Inhaled Corticosteroid Response among Children with Asthma Open
Inhaled corticosteroids (ICS) are efficacious in the treatment of asthma, which affects more than 300 million people in the world. While genome-wide association studies have identified genes involved in differential treatment responses to …
View article: Real world performance of the 21st Century Cures Act population-level application programming interface
Real world performance of the 21st Century Cures Act population-level application programming interface Open
Objective To evaluate the real-world performance of the SMART/HL7 Bulk Fast Health Interoperability Resources (FHIR) Access Application Programming Interface (API), developed to enable push button access to electronic health record data on…
View article: Cumulus: A federated EHR-based learning system powered by FHIR and AI
Cumulus: A federated EHR-based learning system powered by FHIR and AI Open
Objective To address challenges in large-scale electronic health record (EHR) data exchange, we sought to develop, deploy, and test an open source, cloud-hosted app ‘listener’ that accesses standardized data across the SMART/HL7 Bulk FHIR …
View article: Beyond compliance with the 21st Century Cures Act Rule: a patient controlled electronic health information export application programming interface
Beyond compliance with the 21st Century Cures Act Rule: a patient controlled electronic health information export application programming interface Open
Objective The 21st Century Cures Act Final Rule requires that certified electronic health records (EHRs) be able to export a patient’s full set of electronic health information (EHI). This requirement becomes more powerful if EHI exports u…
View article: Multi-Source Graph Synthesis (MUGS) for Pediatric Knowledge Graphs from Electronic Health Records
Multi-Source Graph Synthesis (MUGS) for Pediatric Knowledge Graphs from Electronic Health Records Open
The wealth of valuable real-world medical data found within Electronic Health Record (EHR) systems is particularly significant in the field of pediatrics, where conventional clinical studies face notably high barriers. However, constructin…
View article: Assessing the Potential of GPT-4 to Annotate Medical Notes Across Different Languages and Countries: A Model Evaluation Study
Assessing the Potential of GPT-4 to Annotate Medical Notes Across Different Languages and Countries: A Model Evaluation Study Open