Evidence map›Paper›PMID 35690434›Full record

ArticleCurrent problems in surgery2022

Artificial intelligence in surgery: A research team perspective.

Hossein Mohamadipanah, Calvin Perumalla, Su Yang, Brett Wise, LaDonna Kearse, Cassidi Goll, Anna Witt, James R Korndorffer, Carla Pugh

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current problems in surgery, 2022. 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

9 authors.

Hossein MohamadipanahDepartment of Surgery Stanford University, Stanford, California.
Calvin PerumallaDepartment of Surgery Stanford University, Stanford, California.
Su YangDepartment of Surgery Stanford University, Stanford, California.
Brett WiseDepartment of Surgery Stanford University, Stanford, California.
LaDonna KearseDepartment of Surgery Stanford University, Stanford, California.
Cassidi GollDepartment of Surgery Stanford University, Stanford, California.
Anna WittDepartment of Surgery Stanford University, Stanford, California.
James R KorndorfferDepartment of Surgery Stanford University, Stanford, California.
Carla PughDepartment of Surgery Stanford University, Stanford, California. Electronic address: cpugh@stanford.edu.

Funding

Quantifying the Metrics of Surgical Mastery: An Exploration in Data ScienceR01DK123445 · NIDDK · STANFORD UNIVERSITY · PI PUGH, CARLA M · 2020 to 2023
$2.6M
NIDDK NIH HHS R01 DK123445
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceHumans

Identifiers

PMID35690434
PMCPMC10254575

What OpenQuestion holds

Textmetadata
LicenceTDM
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.