Evidence map›Paper›PMID 40502219›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2025

Leveraging GPT-4o for Automated Extraction of Neural Projections from Scientific Literature.

Rashmie Abeysinghe, Gorbachev Jowah, Licong Cui, Samden D Lhatoo, Guo-Qiang Zhang

Abstract read
In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Rashmie AbeysingheDepartment of Neurology, The University of Texas Health Science Center at Houston, Houston, TX.
Gorbachev JowahDepartment of Neurology, The University of Texas Health Science Center at Houston, Houston, TX.
Licong CuiDepartment of Neurology, The University of Texas Health Science Center at Houston, Houston, TX.
Samden D LhatooDepartment of Neurology, The University of Texas Health Science Center at Houston, Houston, TX.
Guo-Qiang ZhangDepartment of Neurology, The University of Texas Health Science Center at Houston, Houston, TX.

Funding

Engagement and outreach to achieve a FAIR data ecosystem for the BICANU24MH130988 · NIMH · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI HUA XU, Guo-Qiang ZHANG · 2022 to 2026
$4.6M
An informatics framework for SUDEP Risk Marker Identification and Risk AssessmentR01NS116287 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI CUI, LICONG · 2020 to 2024
$1.7M
SCH: Neurophysiological AI-Ready Data ResourceR01NS126690 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ZHANG, GUO-QIANG · 2022 to 2025
$1.2M
NIMH NIH HHS U24 MH130988NINDS NIH HHS R01 NS116287NINDS NIH HHS R01 NS126690
6 · The paper itself

Abstract

Sudden Unexpected Death in Epilepsy (SUDEP) is a major cause of death for epilepsy patients having uncontrolled seizures. Understanding the complex neural circuits within the central nervous system is crucial for understanding the mechanisms underlying cardiorespiratory regulation, particularly in the context of SUDEP. This study explores the potential of GPT-4o, a cutting-edge language model, to automate the extraction of neural projections from scientific literature. We developed prompts to extract neuroscientific structures, extract projections, and perform synonym harmonization. Applying the approach to four neuroscientific articles, the method extracted 205 projections. A random sample of 100 projections identified was handed over to a domain expert for review where 95 were found to be correct. Therefore, GPT-4o was determined to be accurate in parsing complex scientific texts in extracting neural projections. Future work will involve extracting additional entities like techniques and species information for the projections identified.

Identifiers

PMID40502219
PMCPMC12150692

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.