The Rebirth of CAD: How Is Modern AI Different from the CAD We Know?

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

17 citing papers in PubMed.

1. Automated patient selection and care coaches to increase advance care planning for patients with cancer.Journal of the National Cancer Institute · 2025
   Trial
2. Value of Rehabilitation Training for Children with Cerebral Palsy Diagnosed and Analyzed by Computed Tomography Imaging Information Features under Deep Learning.Journal of healthcare engineering · 2021
   Trial
3. Radiologists' perspectives on the use of artificial intelligence in emergency radiology: A pilot survey.World journal of radiology · 2025
   Article
4. "Advances in biomarker discovery and diagnostics for alzheimer's disease".Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
   Review
5. The top 100 most-cited articles on artificial intelligence in breast radiology: a bibliometric analysis.Insights into imaging · 2024
   Article
6. Australian Dentists' Knowledge of the Consequences of Interpretive Errors in Dental Radiographs and Potential Mitigation Measures.Clinical and experimental dental research · 2024
   Article
7. Expert gaze as a usability indicator of medical AI decision support systems: a preliminary study.NPJ digital medicine · 2024
   Article
8. DF-dRVFL: A novel deep feature based classifier for breast mass classification.Multimedia tools and applications · 2024
   Article
9. Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting.NPJ digital medicine · 2023
   Review
10. Evaluation of an Artificial Intelligence System for Detection of Invasive Lobular Carcinoma on Digital Mammography.Cureus · 2023
    Article
11. Application of artificial intelligence in predicting lymph node metastasis in breast cancer.Frontiers in radiology · 2023
    Review
12. Artificial Intelligence in "Code Stroke"-A Paradigm Shift: Do Radiologists Need to Change Their Practice?Radiology. Artificial intelligence · 2022
    Article
13. Automated model versus treating physician for predicting survival time of patients with metastatic cancer.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
14. Automated Bone Age Assessment Using Artificial Intelligence: The Future of Bone Age Assessment.Korean journal of radiology · 2021
    Review
15. Leveraging Multi-Task Learning to Cope With Poor and Missing Labels of Mammograms.Frontiers in radiology · 2021
    Article
16. The role of artificial intelligence in medical imaging research.BJR open · 2020
    Review
17. Artificial intelligence and medical education: A global mixed-methods study of medical students' perspectives.Digital health
    Article

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

1 author.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.