ReviewAnnals of translational medicine2021
Applications of artificial intelligence in oncologic
Review in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled 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.
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
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The prognostic utility ofFrontiers in immunology · 2024Pooled it
- PET/MR Imaging of the Gastrointestinal Tract.Magnetic resonance imaging clinics of North America · 2026Review
- coPERCIST: AI-assisted PET-CT response assessment.European journal of nuclear medicine and molecular imaging · 2026Article
- Preclinical Evaluation of [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025Article
- Development and validation of pan-cancer lesion segmentation AI-model for whole-body 18F-FDG PET/CT in diverse clinical cohorts.Computers in biology and medicine · 2025Article
- Comparison ofEJNMMI physics · 2025Article
- A Thorough Review of the Clinical Applications of Artificial Intelligence in Lung Cancer.Cancers · 2025Review
- Methodology Development for Investigating Pathophysiological [Biomedicines · 2025Article
- AI-enhanced PET/CT image synthesis using CycleGAN for improved ovarian cancer imaging.Polish journal of radiology · 2025Article
- PET/CT for the Opportunistic Screening of Osteoporosis and Fractures in Cancer Patients.Current osteoporosis reports · 2024Review
- Recent Breakthroughs in PET-CT Multimodality Imaging: Innovations and Clinical Impact.Bioengineering (Basel, Switzerland) · 2024Review
- Review
- Machine Learning in Diagnosis and Prognosis of Lung Cancer by PET-CT.Cancer management and research · 2024Review
- Convolutional neural network-based program to predict lymph node metastasis of non-small cell lung cancer usingAnnals of nuclear medicine · 2024Article
- Prediction ofCancers · 2023Article
- Article
- Quantitative PET-based biomarkers in lymphoma: getting ready for primetime.Nature reviews. Clinical oncology · 2023Review
- PET Imaging in Bladder Cancer: An Update and Future Direction.Pharmaceuticals (Basel, Switzerland) · 2023Review
- Artificial Intelligence in Cardiovascular CT and MR Imaging.Life (Basel, Switzerland) · 2023Review
- Breast PET/MRI Hybrid Imaging and Targeted Tracers.Journal of magnetic resonance imaging : JMRI · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) is a growing field of research that is emerging as a promising adjunct to assist physicians in detection and management of patients with cancer.
Indexed as
Identifiers
What 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.