Adam Cross
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View article: Neonatal birth trauma: identifying new risk factors and short-term outcomes
Neonatal birth trauma: identifying new risk factors and short-term outcomes Open
Background Advancements in prenatal diagnosis and obstetric care have changed the epidemiology of neonatal birth trauma in developed countries. Improving women's access to health care is key to preventing, detecting, and treating condition…
View article: RDMA: Cost Effective Agent-Driven Rare Disease Discovery within Electronic Health Record Systems
RDMA: Cost Effective Agent-Driven Rare Disease Discovery within Electronic Health Record Systems Open
Rare diseases affect 1 in 10 Americans, yet standard ICD coding systems fail to capture these conditions in electronic health records (EHR), leaving crucial information buried in clinical notes. Current approaches struggle with medical abb…
View article: Leveraging LLMs for Predicting Unknown Diagnoses from Clinical Notes using Majority Voting (Preprint)
Leveraging LLMs for Predicting Unknown Diagnoses from Clinical Notes using Majority Voting (Preprint) Open
BACKGROUND Electronic Health Records (EHRs), including datasets like MIMIC-IV, often lack explicit links between medications and diagnoses, complicating clinical decision-making and research efforts. Even when such links are present, diag…
View article: Leveraging LLMs for Predicting Unknown Diagnoses from Clinical Notes
Leveraging LLMs for Predicting Unknown Diagnoses from Clinical Notes Open
Electronic Health Records (EHRs) often lack explicit links between medications and diagnoses, making clinical decision-making and research more difficult. Even when links exist, diagnosis lists may be incomplete, especially during early pa…
View article: An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontology-Enhanced Large Language Models: Development Study
An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontology-Enhanced Large Language Models: Development Study Open
Background Rare diseases affect millions worldwide but sometimes face limited research focus individually due to low prevalence. Many rare diseases do not have specific International Classification of Diseases, Ninth Edition ( ICD-9 ) and …
View article: AutoRD: An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontology-enhanced Large Language Models (Preprint)
AutoRD: An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontology-enhanced Large Language Models (Preprint) Open
BACKGROUND Rare diseases affect millions worldwide but often face limited research focus due to their low prevalence. This results in prolonged diagnoses and a lack of approved therapies. Recent advancements in Large Language Models (LLMs…
View article: AutoRD: An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontologies-enhanced Large Language Models
AutoRD: An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontologies-enhanced Large Language Models Open
Rare diseases affect millions worldwide but often face limited research focus due to their low prevalence. This results in prolonged diagnoses and a lack of approved therapies. Recent advancements in Large Language Models (LLMs) have shown…
View article: Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus
Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus Open
Objectives Respiratory syncytial virus (RSV) is a significant cause of pediatric hospitalizations. This article aims to utilize multisource data and leverage the tensor methods to uncover distinct RSV geographic clusters and develop an acc…
View article: GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs
GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs Open
Clinical predictive models often rely on patients' electronic health records (EHR), but integrating medical knowledge to enhance predictions and decision-making is challenging. This is because personalized predictions require personalized …
View article: Emphysematous cystitis with bilateral pyelonephritis in a pediatric patient with COVID-19
Emphysematous cystitis with bilateral pyelonephritis in a pediatric patient with COVID-19 Open
A 15-year-old female adolescent with a medical history of recurrent urinary tract infections and grade 1 left-sided vesicoureteral reflux presented to the emergency room with abdominal and back pain. Labs revealed a haemoglobin A1c (HbA1c)…
View article: MedML: Fusing Medical Knowledge and Machine Learning Models for Early Pediatric COVID-19 Hospitalization and Severity Prediction
MedML: Fusing Medical Knowledge and Machine Learning Models for Early Pediatric COVID-19 Hospitalization and Severity Prediction Open
The COVID-19 pandemic has caused devastating economic and social disruption, straining the resources of healthcare institutions worldwide. This has led to a nationwide call for models to predict hospitalization and severe illness in patien…