Evidence map›Paper›PMID 42389244›Full record

ArticleArXiv2026

DeepER-Med: Advancing Deep Evidence-Based Research in Medicine Through Agentic AI.

Zhizheng Wang, Chih-Hsuan Wei, Joey Chan, Robert Leaman, Chi-Ping Day, Chuan Wu, Mark A Knepper, Antolin Serrano Farias, Jordina Rincon-Torroella, Hasan Slika and 12 more

Abstract readPreprint
PubMed Full text at PMC
In one paragraph

Article in ArXiv, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Corrections and comments

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

22 authors.

Zhizheng WangDivision of Intramural Research (DIR), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, MD 20892, USA.
Chih-Hsuan WeiDivision of Intramural Research (DIR), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, MD 20892, USA.
Joey ChanDivision of Intramural Research (DIR), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, MD 20892, USA.
Robert LeamanDivision of Intramural Research (DIR), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, MD 20892, USA.
Chi-Ping DayCancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD 20892, USA.
Chuan WuExperimental Immunology Branch, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD 20892, USA.
Mark A KnepperEpithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD 20892, USA.
Antolin Serrano FariasBrain Tumor Genetics Lab, Department of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD 21287, USA.
Jordina Rincon-TorroellaBrain Tumor Genetics Lab, Department of Neurosurgery, Johns Hopkins Hospital, Baltimore, MD 21287, USA.
Hasan SlikaHunterian Neurosurgical Laboratory, Johns Hopkins School of Medicine, Baltimore, MD 21231, USA.
Betty TylerHunterian Neurosurgical Laboratory, Johns Hopkins School of Medicine, Baltimore, MD 21231, USA.
Ryan Huu-Tuan NguyenDivision of Hematology/Oncology, University of Illinois Chicago, Chicago, IL 60612, USA.
Asmita IndurkarDivision of Epidemiology and Clinical Applications, National Eye Institute (NEI), National Institutes of Health (NIH), Bethesda, MD 20892, USA.
Mélanie HébertDivision of Epidemiology and Clinical Applications, National Eye Institute (NEI), National Institutes of Health (NIH), Bethesda, MD 20892, USA.
Shubo TianDivision of Intramural Research (DIR), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, MD 20892, USA.
Lauren HeDivision of Intramural Research (DIR), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, MD 20892, USA.
Noor NaffakhUniversity of Illinois Cancer Center, Chicago, IL 60612, USA.
Aseem AseemUniversity of Illinois Cancer Center, Chicago, IL 60612, USA.
Nicholas WanUniversity of Michigan Medical School, Ann Arbor, MI 48109, USA.
Emily Y ChewDivision of Epidemiology and Clinical Applications, National Eye Institute (NEI), National Institutes of Health (NIH), Bethesda, MD 20892, USA.
Tiarnan D L KeenanDivision of Epidemiology and Clinical Applications, National Eye Institute (NEI), National Institutes of Health (NIH), Bethesda, MD 20892, USA.
Zhiyong LuDivision of Intramural Research (DIR), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, MD 20892, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trustworthiness and transparency are essential for the clinical adoption of artificial intelligence (AI) in healthcare and biomedical research. Recent deep research systems aim to accelerate evidence-grounded scientific discovery by integrating AI agents with multi-hop information retrieval, reasoning, and synthesis. However, most existing systems lack explicit and inspectable criteria for evidence appraisal, creating a risk of compounding errors and making it difficult for researchers and clinicians to assess the reliability of their outputs. In parallel, current benchmarking approaches rarely evaluate performance on complex, real-world medical questions. Here, we introduce

Identifiers

PMID42389244
PMCPMC13317644

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.