David Grindem
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View article: The Responsible Health AI Readiness and Maturity Index (RHAMI): Applications for a Global Narrative Review of Leading AI Use Cases in Public Health Nutrition
The Responsible Health AI Readiness and Maturity Index (RHAMI): Applications for a Global Narrative Review of Leading AI Use Cases in Public Health Nutrition Open
Poor diet is the leading preventable risk factor for death worldwide, associated with over 10 million premature deaths and USD 8 trillion related costs every year. Artificial intelligence or AI is rapidly emerging as the most historically …
View article: Large Language Models for Pediatric Differential Diagnoses in Rural Health Care: Multicenter Retrospective Cohort Study Comparing GPT-3 With Pediatrician Performance
Large Language Models for Pediatric Differential Diagnoses in Rural Health Care: Multicenter Retrospective Cohort Study Comparing GPT-3 With Pediatrician Performance Open
Background Rural health care providers face unique challenges such as limited specialist access and high patient volumes, making accurate diagnostic support tools essential. Large language models like GPT-3 have demonstrated potential in c…
View article: Automated Coronary Artery Calcium Scoring Using Convolutional Neural Networks: Enhancing Cardiovascular Risk Assessment in Chest CT Scans
Automated Coronary Artery Calcium Scoring Using Convolutional Neural Networks: Enhancing Cardiovascular Risk Assessment in Chest CT Scans Open
Background Coronary artery calcium (CAC) scoring is valuable for cardiovascular risk assessment but often time-consuming and subject to variability. This study aimed to develop and validate a convolutional neural network (CNN) model for au…
View article: Evaluating the accuracy and reliability of large language models in assisting with pediatric differential diagnoses: A multicenter diagnostic study
Evaluating the accuracy and reliability of large language models in assisting with pediatric differential diagnoses: A multicenter diagnostic study Open
Importance Large language models, such as GPT-3, have shown potential in assisting with clinical decision-making, but their accuracy and reliability in pediatric differential diagnosis in rural healthcare settings remain underexplored. Obj…
View article: Exploring Vaccine Hesitancy Among Parents in a Rural Pediatric Clinic System: A Statistical Study
Exploring Vaccine Hesitancy Among Parents in a Rural Pediatric Clinic System: A Statistical Study Open
Vaccine hesitancy among parents in this rural pediatric population appears to be driven by concerns about vaccine safety, exposure to misinformation, religious and philosophical beliefs, and distrust in the healthcare system. Addressing th…