Evidence map›Paper›PMID 37746390›Full record

ArticleCureus2023

Artificial Intelligence and Robotics in Transplant Surgery: Advancements and Future Directions.

Syed Faqeer Hussain Bokhari

Abstract readEditorial
In one paragraph

Article in Cureus, 2023. 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
–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

3 citing papers in PubMed.

  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

1 author.

Syed Faqeer Hussain BokhariSurgery, King Edward Medical University, Lahore, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This editorial explores the transformative impact of artificial intelligence (AI) and robotics in transplant surgery. By merging robotic precision with AI analysis, this integration enhances organ transplantation outcomes. AI algorithms scrutinize patient data, elevating organ compatibility during allocation. Robotic systems such as the da Vinci Surgical System enable intricate operations with reduced complications and faster recovery. AI-driven post-transplant monitoring identifies early rejection signs, while tailored immunosuppressive regimens enhance patient care. Future prospects encompass predictive organ availability, telemedicine-enabled expertise dissemination, bioengineered organs, and personalized immunosuppression. Ethical considerations include privacy and algorithmic bias. In striking a balance, responsible AI and robotics application can revolutionize transplant surgery, offering a brighter future for patients in need.

Indexed as

advancementsartificial intelligence (ai)future directionsroboticstransplant surgery

Identifiers

PMID37746390
PMCPMC10515737

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.