ReviewRadiological physics and technology2020
AI-based computer-aided diagnosis (AI-CAD): the latest review to read first.
Review in Radiological physics and technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 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
99 citing papers in PubMed.
- Performance changes in automated lesion detection under federated learning with sequential institution addition.International journal of computer assisted radiology and surgery · 2026Article
- A reproducible framework for constructing a longitudinal low-dose CT screening image database: implementation using 11 years of real-world data.Radiological physics and technology · 2026Article
- Patients' and Providers' Attitudes Toward Artificial Intelligence and Electronic Health Record Use in Deep Phenotyping and Rare-Disease Screening: An Empty Systematic Review.Healthcare (Basel, Switzerland) · 2026Review
- Historical and clinical contributions of the JSRT chest radiograph database to medical imaging research.Radiological physics and technology · 2026Review
- Real-Time Cardiac Arrhythmia Classification Using TinyML on Ultra-Low-Cost Microcontrollers: A Feasibility Study for Resource-Constrained Environments.Bioengineering (Basel, Switzerland) · 2026Article
- Automatic detection of multi-site oral squamous cell carcinoma based on privacy-preserving federated learning.BMC oral health · 2026Article
- Development and validation of the ultrasound-based radiomics and deep learning prognostic models for diffuse large B-cell lymphoma.Annals of hematology · 2026Article
- Article
- Heart Sound Classification with MFCCs and Wavelet Daubechies Analysis Using Machine Learning Algorithms.Diagnostics (Basel, Switzerland) · 2025Article
- Improved denoising scheme using three-dimensional multi-zone convolutional neural filters in dedicated breast positron emission tomography images.Radiological physics and technology · 2025Article
- Automated Cervical Nuclei Segmentation in Pap Smear Images Using Enhanced Morphological Thresholding Techniques.Diagnostics (Basel, Switzerland) · 2025Article
- Content-based X-ray image retrieval using fusion of local neighboring patterns and deep features for lung disease detection.Radiological physics and technology · 2025Article
- AI in Radiation Oncology: A Comprehensive Review of Current Applications and Future Directions.Cureus · 2025Review
- Detection and dual-label classification of tooth number and condition in dental panoramic radiographs including deciduous teeth.Radiological physics and technology · 2025Article
- Automated scheme of plaque classification based on segmentation in carotid ultrasound images using transformer approach.Journal of medical ultrasonics (2001) · 2025Article
- Biomarkers of aging: from molecules and surrogates to physiology and function.Physiological reviews · 2025Review
- Retaking assessment system based on the inspiratory state of chest X-ray image.Radiological physics and technology · 2025Article
- Optimizing Stroke Risk Prediction: A Primary Dataset-Driven Ensemble Classifier With Explainable Artificial Intelligence.Health science reports · 2025Article
- Deep Unsupervised Clustering for Prostate Auto-segmentation With and Without Hydrogel Spacer.Machine learning: science and technology · 2025Article
- Review
39 more citing papers are in PubMed but not listed here.
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
Abstract
The third artificial intelligence (AI) boom is coming, and there is an inkling that the speed of its evolution is quickly increasing. In games like chess, shogi, and go, AI has already defeated human champions, and the fact that it is able to achieve autonomous driving is also being realized. Under these circumstances, AI has evolved and diversified at a remarkable pace in medical diagnosis, especially in diagnostic imaging. Therefore, this commentary focuses on AI in medical diagnostic imaging and explains the recent development trends and practical applications of computer-aided detection/diagnosis using artificial intelligence, especially deep learning technology, as well as some topics surrounding it.
Indexed as
Identifiers
31898014What 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.