Evidence map›Paper›PMID 38350931›Full record

ArticleReproductive biology and endocrinology : RB&E2024

'Intracytoplasmic sperm injection (ICSI) paradox' and 'andrological ignorance': AI in the era of fourth industrial revolution to navigate the blind spots.

Pallav Sengupta, Sulagna Dutta, Ravindran Jegasothy, Petr Slama, Chak-Lam Cho, Shubhadeep Roychoudhury

Open access · goldAbstract readLetter
In one paragraph

Article in Reproductive biology and endocrinology : RB&E, 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
2.7field-weighted citation impact, top 11% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 at 6 institutions in 5 countries.

Pallav SenguptaDepartment of Biomedical Sciences, College of Medicine, Gulf Medical University (GMU), Ajman, UAE. pallav_cu@yahoo.com.ORCID http://orcid.org/0000-0002-1928-5048
Sulagna DuttaBasic Medical Sciences Department, College of Medicine, Ajman University, Ajman, UAE.ORCID http://orcid.org/0000-0002-7893-5282
Ravindran JegasothyFaculty of Medicine, Bioscience and Nursing, MAHSA University, Kuala Lumpur, Malaysia.ORCID http://orcid.org/0000-0001-6449-1900
Petr SlamaLaboratory of Animal Immunology and Biotechnology, Department of Animal Morphology, Physiology and Genetics, Faculty of AgriSciences, Mendel University in Brno, Brno, Czech Republic.ORCID http://orcid.org/0000-0003-0570-259X
Chak-Lam ChoS. H. Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0003-2520-6833
Shubhadeep RoychoudhuryDepartment of Life Science and Bioinformatics, Assam University, Silchar, India. shubhadeep1@gmail.com.ORCID http://orcid.org/0000-0003-4174-1852
Ajman University · AEAssam University · INChinese University of Hong Kong · HKGulf Medical University · AEMahsa University · MYMendel University in Brno · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quandary known as the Intracytoplasmic Sperm Injection (ICSI) paradox is found at the juncture of Assisted Reproductive Technology (ART) and 'andrological ignorance' - a term coined to denote the undervalued treatment and comprehension of male infertility. The prevalent use of ICSI as a solution for severe male infertility, despite its potential to propagate genetically defective sperm, consequently posing a threat to progeny health, illuminates this paradox. We posit that the meteoric rise in Industrial Revolution 4.0 (IR 4.0) and Artificial Intelligence (AI) technologies holds the potential for a transformative shift in addressing male infertility, specifically by mitigating the limitations engendered by 'andrological ignorance.' We advocate for the urgent need to transcend andrological ignorance, envisaging AI as a cornerstone in the precise diagnosis and treatment of the root causes of male infertility. This approach also incorporates the identification of potential genetic defects in descendants, the establishment of knowledge platforms dedicated to male reproductive health, and the optimization of therapeutic outcomes. Our hypothesis suggests that the assimilation of AI could streamline ICSI implementation, leading to an overall enhancement in the realm of male fertility treatments. However, it is essential to conduct further investigations to substantiate the efficacy of AI applications in a clinical setting. This article emphasizes the significance of harnessing AI technologies to optimize patient outcomes in the fast-paced domain of reproductive medicine, thereby fostering the well-being of upcoming generations.

Indexed as

Infertility, MaleSperm Injections, IntracytoplasmicArtificial IntelligenceHumansMaleReproductive Techniques, AssistedSemenAndrologyArtificial intelligenceAssisted reproductive technologyIndustrial revolution 4.0Intracytoplasmic sperm injectionMale infertility

Identifiers

PMID38350931
PMCPMC10863146
OpenAlexW4391783089

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.