Evidence map›Paper›PMID 35573620›Full record

ReviewJournal of education and health promotion2022

Artificial intelligence: A new tool in surgeon's hand.

Amit Gupta, Tanuj Singla, Jaine John Chennatt, Lena Elizabath David, Shaik Sameer Ahmed, Deepak Rajput

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of education and health promotion, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  15. Robotic-Assisted Esophagectomy: Current Situation and Future Perspectives.Annals of thoracic and cardiovascular surgery : official journal of the Association of Thoracic and Cardiovascular Surgeons of Asia · 2023
    Review
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

6 authors.

Amit GuptaDepartment of General Surgery, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Tanuj SinglaDepartment of General Surgery, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Jaine John ChennattDepartment of General Surgery, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Lena Elizabath DavidDepartment of General Surgery, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Shaik Sameer AhmedDepartment of General Surgery, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Deepak RajputDepartment of General Surgery, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) is the future of surgery. Technological advancements are taking place at an incredible pace, largely due to AI or AI-backed systems. It is likely that there will be a massive explosion or "Cambrian explosion" of AI in our everyday life, largely aided by increased funding and resources spent on research and development. AI has also significantly revolutionized the medical field. The concept of machine learning and deep learning in AI is the crux of its success. In surgical practice, AI has numerous applications in the diagnosis of disease, preoperative planning, intraoperative assistance, surgical training and assessment, and robotics. The potential automation of surgery is also a possibility in the next few decades. However, at present, augmentation rather than automation should be the priority. In spite of the allure of AI, it comes with its own price. A robot lacks the "sixth sense" or intuition that is crucial in the practice of surgery and medicine. Empathy and human touch are also inimitable characteristics that cannot be replaced by an AI system. Other limitations include the financial burden and the feasibility of using such technology on a wide scale. Ethical and legal dilemmas such as those involving privacy laws are other issues that should be taken under consideration. Despite all these limitations, with the way technology is progressing, it is inevitable that AI and automation will completely change the way we practice surgery in the near future. Thus, this narrative review article aims to highlight the various applications and pitfalls of AI in the field of surgery.

Indexed as

Artificial intelligenceautomationdeep learningmachine learningroboticssurgerysurgical procedures

Identifiers

PMID35573620
PMCPMC9093628

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.