Evidence map›Paper›PMID 40659716›Full record

ReviewNPJ digital medicine2025

Will AI become our Co-PI?

Dillan Prasad, Aditya Khandeshi, Spencer Sartin, Rishi Jain, Nader Dahdaleh, Maciej Lesniak, Yuan Luo, Christopher Ahuja

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Dillan PrasadDepartment of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA. dillan@northwestern.edu.
Aditya KhandeshiDepartment of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Spencer SartinDepartment of Molecular Engineering, University of Chicago, Chicago, IL, USA.
Rishi JainDepartment of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Nader DahdalehDepartment of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Maciej LesniakDepartment of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Yuan LuoInstitute for Artificial Intelligence in Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Christopher AhujaDepartment of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid advances in large language models (LLMs) are transforming the role of students and principal investigators (PIs) in biomedical research. This perspective examines how LLMs can reshape the laboratory model as de facto "Co-PIs" for tasks ranging from literature triage to hypothesis generation. By clarifying both opportunities and risks, we propose a framework for efficient AI collaboration which aims to guide investigators and trainees in harnessing LLMs responsibly.

Identifiers

PMID40659716
PMCPMC12259983

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.