Daniel Isaiah Jackson is an expert in Pediatrics at Nationwide Children's Hospital (United States). Daniel Isaiah Jackson has authored 20 publications, the most recent in 2026. SLR score: 74 (community average: 125). How the SLR is computed.

LeadR Profile

Daniel Isaiah Jackson Nationwide Children's Hospital United States
74 ScienceLeadR Reputation 74
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Pediatrics

Subspecialties: Psychiatry - Informatics - Public Health

Full career – Last 3 years

Main Topics

Publications and Clinical Studies

Publications – Clinical Studies

Profile data updated on

Expert Rankings

Top experts on the MeSH terms this expert works on

Short Biography

Currently, I hold a joint appointment with Nationwide Children's Hospital (Research Associate) and The Ohio State University (Graduate Teaching Associate) as a Computer Science and Engineering PhD Student. Current research efforts engage patients from various fields of medicine with LLM-powered voice agents to support navigating healthcare.

Organizations

Career arc: 2020 - 2026

Source: PubMed

Nationwide Children's Hospital

Publications Synthesis

Sources: PubMed, OpenAlex

Number : 20

Citations

Citations: 10 1st author: 5 Last author: 0 Unique author: 0


Best Journals

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Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
Simulated self-assessment in large language models: A psychometric approach to AI self-efficacy.
PMID 42770111 — language, self efficacy, self-assessment, psychometrics
Comput Hum Behav Artif Hum20260
Large Language Models for Individualized Psychoeducational Tools for Psychosis: A Cross-Sectional Study.
PMID 42530475 — language, cross-sectional studies, caregivers, psychotic disorders
Early Interv Psychiatry20265
An AI-based chatbot to support health-related social needs among pediatric primary care population: Protocol for a pilot randomized controlled trial.
PMID 42008466 — pilots, caregivers, stress, physiological, artificial intelligence, child
PLoS One20260
Toward trustworthy chatbots: a protocol for red teaming for health related conversations.
PMID 41917231 — natural science disciplines, generative artificial intelligence
Sci Rep20260
Socially Grounded Exemplars Improve Synthetic Conversations for Health-Related Social Needs Navigation.
PMID 41674617 — privacy, names, demography
medRxiv20260

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