Evidence map›Paper›PMID 40684058›Full record

ArticleAnnals of biomedical engineering2025

The AI Surge in Surgery: Evolution, Challenges, and Ethical Considerations.

Ayesha Parvaiz Malik, Waleed Ahmad, Javed Iqbal

Abstract readLetter
PubMed Publisher
In one paragraph

Article in Annals of biomedical engineering, 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

3 authors.

Ayesha Parvaiz MalikJinnah Sindh Medical University Karachi, Karachi, Pakistan.ORCID http://orcid.org/0009-0001-9320-2300
Waleed AhmadLahore Medical and Dental College, Lahore, Pakistan.ORCID http://orcid.org/0009-0009-9351-0520
Javed IqbalHamad Medical Corporation, Doha, Qatar. jiqbal3@hamad.qa.ORCID http://orcid.org/0000-0003-2627-685X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interestingly, the integration of AI technologies into surgery in the past 5 years has increased by more than 400%, changing the way patients are treated and work is performed globally. Artificial intelligence (AI) in the field of surgery is changing the modern face of medicine by providing it with better accuracy, decision-making, and patient outcomes. Examples of AI in practice suggest their use before, during, and after surgery. Nevertheless, as fast as this is progressing, there are also emerging advanced data privacy problems, inequality in algorithms, and ethical issues associated with training and decision-making. Due to the increasing use of surgical AI systems as support and the possible emergence of autonomous entities, the need to care about clinical validation, ethical regulation, and multidisciplinary work should become stricter. This commentary highlights the current state, opportunity, and protective measures needed to offer fair and practical application of surgical AI. The audience of this commentary is surgical practitioners, healthcare administrators, and policymakers in an effort to foster an informed debate as well as create a system of incentives toward the collaborative model that is indispensable in advancing the responsible incorporation of AI into surgical use.

Indexed as

Artificial IntelligenceHumansChanging AIEvolutionOperating roomSurgicalTechnological

Identifiers

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.