ArticleScientific reports2020
Deep neural network based artificial intelligence assisted diagnosis of bone scintigraphy for cancer bone metastasis.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 91 citations in OpenAlex.
- "First, do no harm" in the digital era: examining the practicality of the European Health Data Space proposal and ethical implications of artificial intelligence: A systematic literature review.BMC medical ethics · 2026Pooled it
- Artificial intelligence applied to musculoskeletal oncology: a systematic review.Skeletal radiology · 2022Pooled it
- Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring.Advanced healthcare materials · 2026Review
- Predictive performance of image processing techniques in the diagnosis of bone metastasis: A meta-analysis of a confusion matrix.Oncology letters · 2026Article
- Clinical Potential of Artificial Bone Scintigraphy from Early-Phase Bone Scintigraphy Using Unpaired Image-to-Image Translation in Patients with Breast Cancer: A Single-Center Prospective Study.Tomography (Ann Arbor, Mich.) · 2026Article
- Artificial Intelligence and Machine Learning in Bone Metastasis Management: A Narrative Review.Current oncology (Toronto, Ont.) · 2026Review
- BSc-DARTS: Neural Architecture Search for Automatic Diagnosis of Bone Metastases in Bone ScintigramsCurrent medical imaging · 2026Article
- Enhancing bone cancer detection through optimized pre trained deep learning models and explainable AI using the osteosarcoma tumor assessment dataset.Scientific reports · 2025Article
- Single Photon Emission Computed Tomography/X-ray Computed Tomography-based radiomics analysis for diagnosis of bone metastases in patients with breast cancer.Journal of bone oncology · 2025Article
- Usefulness of the Automated Bone Scan Index in Arthritis: A Quantitative Approach for Evaluating Synovitis, Acne, Pustulosis, Hyperostosis, and Osteitis (SAPHO) Syndrome.Nuclear medicine and molecular imaging · 2025Article
- A Thorough Review of the Clinical Applications of Artificial Intelligence in Lung Cancer.Cancers · 2025Review
- Diagnostic Performance of an Artificial Intelligence Software for the Evaluation of Bone X-Ray Examinations Referred from the Emergency Department.Diagnostics (Basel, Switzerland) · 2025Article
- Reducing the workload of medical diagnosis through artificial intelligence: A narrative review.Medicine · 2025Review
- Advancing AI in radiology: a comparative analysis of ChatGPT-o1-preview and ChatGPT-3.5 in the Polish National Specialization Exam.Polish journal of radiology · 2025Article
- Bone scintigraphy based on deep learning model and modified growth optimizer.Scientific reports · 2024Article
- Artificial Intelligence in Detection, Management, and Prognosis of Bone Metastasis: A Systematic Review.Cancers · 2024Review
- Artificial intelligence-based analysis of whole-body bone scintigraphy: The quest for the optimal deep learning algorithm and comparison with human observer performance.Zeitschrift fur medizinische Physik · 2024Article
- Automated Detection and Segmentation of Bone Metastases on Spine MRI Using U-Net: A Multicenter Study.Korean journal of radiology · 2024Article
- Stability of standardized uptake values for quantitative bone SPECT for jawbone lesions: a single-center cross-sectional study.BMC oral health · 2024Article
- A comparative analysis of CNN-based deep learning architectures for early diagnosis of bone cancer using CT images.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bone scintigraphy (BS) is one of the most frequently utilized diagnostic techniques in detecting cancer bone metastasis, and it occupies an enormous workload for nuclear medicine physicians. So, we aimed to architecture an automatic image interpreting system to assist physicians for diagnosis. We developed an artificial intelligence (AI) model based on a deep neural network with 12,222 cases of
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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.