Evidence map›Paper›PMID 38455508›Full record

ArticleInternational journal of clinical and experimental pathology2024

Revolutionizing patient care: the harmonious blend of artificial intelligence and surgical tradition.

Michael Stark, Ospan Mynbaev, Antonio Malvasi, Andrea Tinelli

Open access · bronzeAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.3field-weighted citation impact, top 13% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
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

4 authors at 1 institution in 1 country.

Michael StarkThe New European Surgical Academy 10117 Berlin, Germany.
Ospan MynbaevThe New European Surgical Academy 10117 Berlin, Germany.
Antonio MalvasiThe New European Surgical Academy 10117 Berlin, Germany.
Andrea TinelliThe New European Surgical Academy 10117 Berlin, Germany.
European Academy of Technology and Innovation Assessment · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgery has undergone remarkable evolution over the past decades, propelled by unprecedented technological advancement. Despite these changes, the role of surgeons and their irreplaceable qualities remains pivotal. This article delves into the intersection of surgery and artificial intelligence (AI), underscoring the enduring significance of human expertise and values. The potential of AI to learn and improve over time holds great promise for enhancing various facets of surgery, including diagnostics, personalized treatment, preoperative planning, real-time support in the operating room, and comprehensive postoperative analytics of the outcome. However, it is essential to emphasize the continued importance of the surgeon's role to uphold universal surgical principles. This includes a commitment to minimalism and the use of evidence-based practice, ensuring optimal outcomes and standardized procedures. By recognizing the synergies between AI and traditional surgical approaches, we can navigate the evolving landscape of surgery to achieve the highest standards of patient care.

Indexed as

Artificial intelligenceendoscopyrobotic surgerysurgerysurgical principles

Identifiers

PMID38455508
PMCPMC10915289
OpenAlexW4394765864

What OpenQuestion holds

Textmetadata
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.