Evidence map›Paper›PMID 40075609›Full record

ReviewCancers2025

Advances in Surgery and Sustainability: The Use of AI Systems and Reusable Devices in Laparoscopic Colorectal Surgery.

Takuma Iwai, Seiichi Shinji, Takeshi Yamada, Kay Uehara, Akihisa Matsuda, Yasuyuki Yokoyama, Goro Takahashi, Toshimitsu Miyasaka, Takanori Matsui, Hiroshi Yoshida

Abstract readReview
In one paragraph

Review in Cancers, 2025. 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

10 authors.

Takuma IwaiDepartment of Gastroenterological Surgery, Nippon Medical School, Tokyo 113-8602, Japan.ORCID 0000-0002-4706-1228
Seiichi ShinjiDepartment of Gastroenterological Surgery, Nippon Medical School, Tokyo 113-8602, Japan.ORCID 0000-0002-9204-6393
Takeshi YamadaDepartment of Gastroenterological Surgery, Nippon Medical School, Tokyo 113-8602, Japan.ORCID 0000-0002-1436-7482
Kay UeharaDepartment of Gastroenterological Surgery, Nippon Medical School, Tokyo 113-8602, Japan.ORCID 0000-0001-9669-5860
Akihisa MatsudaDepartment of Gastroenterological Surgery, Nippon Medical School, Tokyo 113-8602, Japan.
Yasuyuki YokoyamaDepartment of Gastroenterological Surgery, Nippon Medical School, Tokyo 113-8602, Japan.ORCID 0009-0002-6343-7982
Goro TakahashiDepartment of Gastroenterological Surgery, Nippon Medical School, Tokyo 113-8602, Japan.
Toshimitsu MiyasakaDepartment of Gastroenterological Surgery, Nippon Medical School, Tokyo 113-8602, Japan.
Takanori MatsuiDepartment of Gastroenterological Surgery, Nippon Medical School, Tokyo 113-8602, Japan.
Hiroshi YoshidaDepartment of Gastroenterological Surgery, Nippon Medical School, Tokyo 113-8602, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sustainability of the surgical workforce, environmental pollution caused by disposable instruments, and the rising costs of medical care are pressing issues worldwide. This review explores sustainable surgical practices for laparoscopic surgery through the application of surgical AI systems and reusable energy devices. Surgical AI systems enable the precise real-time visualization of organ anatomy, enhance surgical accuracy, and support educational initiatives. The Reusable Energy Device Laparoscopic-Assisted Colectomy (RE-LAC) technique, which employs reusable energy devices, has the potential to reduce medical waste and costs while maintaining safety and quality standards. A comparative analysis of RE-LAC and conventional disposable devices showed no significant differences in operative time or blood loss, suggesting that RE-LAC may be a viable alternative for sustainable surgical practice. These approaches align with the Sustainable Development Goals, contributing to sustainable healthcare by improving workforce efficiency, reducing environmental impacts, and promoting economic feasibility. Further large-scale, multi-institutional studies are necessary to optimize their implementation and maximize their global impact.

Indexed as

AIcolorectal cancerlaparoscopic-assisted colectomyreusable energy deviceSDG

Identifiers

PMID40075609
PMCPMC11899609

What OpenQuestion 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 OpenQuestion graph.