ReviewInternational journal of impotence research2023
Applications of artificial intelligence in the diagnosis and prediction of erectile dysfunction: a narrative review.
Review in International journal of impotence research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- Comment on: Utilization of Artificial Intelligence in Men's Health: Opportunities for Innovation and Quality Improvement.International journal of impotence research · 2026Article
- The Evolving Role of Artificial Intelligence in Andrological Surgery: Current Landscape and Future Direction.Journal of clinical medicine · 2026Review
- Correlation of Lymphocyte-to-C-Reactive Protein Ratio With Erectile Dysfunction Risk in United States Adult Males during 2001-2004: A Cross-Sectional Analysis.Health science reports · 2025Article
- Chatbots' performance in premature ejaculation questions: a comparative analysis of reliability, readability, and understandability.International journal of impotence research · 2025Article
- Artificial Intelligence-Based Clinical Decision-Making in Erectile Dysfunction: a Narrative Review.Current urology reports · 2024Review
- Artificial intelligence in andrology - fact or fiction: essential takeaway for busy clinicians.Asian journal of andrology · 2024Review
- The Intersection of Artificial Intelligence, Wearable Devices, and Sexual Medicine.Current urology reports · 2024Review
- Dietary intakes of vitamin BTranslational andrology and urology · 2024Article
- Correlation between visceral fat metabolism score and erectile dysfunction: a cross-sectional study from NHANES 2001-2004.Frontiers in endocrinology · 2023Article
- Advances in physical diagnosis and treatment of male erectile dysfunction.Frontiers in physiology · 2022Review
- The Association Between 2, 4-Dichlorophenoxyacetic Acid and Erectile Dysfunction.Frontiers in public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the high prevalence of erectile dysfunction, patients are reluctant to seek medical advice, which leads to low diagnostic rates in clinical practice. Artificial intelligence has been widely applied in the diagnosis of many diseases and may alleviate the situation. However, the applications of artificial intelligence in erectile dysfunction have not been reviewed to date. Therefore, the assistance from artificial intelligence needs to be summarized. In this review, 418 publications before January 10, 2021, regarding artificial intelligence applications in diagnosing and predicting erectile dysfunction, were retrieved from five databases, including PubMed, EMBASE, the Cochrane Library, and two Chinese databases (WANFANG and CNKI). In addition, the reference lists of the included studies or relevant reviews were checked to avoid bias. Finally, 30 articles were reviewed to summarize the current status, merits, and limitations of applying artificial intelligence in diagnosing and predicting erectile dysfunction. The results showed that artificial intelligence contributed to developing novel diagnostic questionnaires, equipment, expert systems, classifiers by images and predictive models. However, most of the included studies were not subjected to external validations, resulting in doubt on the generalizability. In the future, more rigorously designed studies with high-quality datasets for erectile dysfunction are required.
Indexed as
Identifiers
35027721What OpenQuestion holds
Registered trials
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.