ReviewPrzeglad gastroenterologiczny2024
The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review.
Review in Przeglad gastroenterologiczny, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed.
- Review
- Evaluation of the predictive accuracy of nine staging systems in patients with hepatocellular carcinoma: a multicenter, retrospective study in China.Scientific reports · 2026Article
- Artificial intelligence for surgical care in war-torn sudan: Feasibility, barriers, and ethical perspectives from a conflict zone.Surgery in practice and science · 2026Article
- Review
- Redefining Liver Transplantation Indications for Hepatic Malignancies in the Era of Precision Transplant Oncology: An Up-to-Date Narrative Review.Journal of clinical medicine · 2026Review
- Enhanced CT-Based Delta-Radiomics: Predicting Lymphovascular and Perineural Invasion in Rectal Cancer Preoperatively.Journal of imaging informatics in medicine · 2026Article
- A Non-Invasive Integrated Model for Accurate Preoperative Identification of the Aggressive Macrotrabecular-Massive Subtype of Hepatocellular Carcinoma: A Single-Center Retrospective Study.Diagnostics (Basel, Switzerland) · 2026Article
- Perivascular versus nonperivascular hepatocellular carcinoma treated with liver resection: a retrospective propensity score matching comparison of long-term outcomes.Quantitative imaging in medicine and surgery · 2026Article
- Narrative review of the ethics of artificial intelligence: are we ready for artificial intelligence in surgery?Journal of thoracic disease · 2026Review
- Primary Hepatic Squamous Cell Carcinoma.Diagnostics (Basel, Switzerland) · 2026Article
- Artificial Intelligence and Radiomics in Primary Liver Cancer Imaging: A Bibliometric and Visualized Analysis.Journal of hepatocellular carcinoma · 2026Article
- Hypoglycaemia in a patient with huge hepatocellular carcinoma responsive to chemoembolisation and tumour resection.Przeglad gastroenterologiczny · 2026Article
- Ethical Use of Artificial Intelligence for Processing Medical Images.Journal of Korean medical science · 2025Article
- Machine Learning based Radiomics from Multi-parametric Magnetic Resonance Imaging for Predicting Lymph Node Metastasis in Cervical Cancer.Current medical imaging · 2025Article
- Untargeted Lipidomic Biomarkers for Liver Cancer Diagnosis: A Tree-Based Machine Learning Model Enhanced by Explainable Artificial Intelligence.Medicina (Kaunas, Lithuania) · 2025Article
- Conventional transarterial chemoembolization followed by irreversible electroporation for hepatocellular carcinoma.BMC cancer · 2025Article
- 3D printing in medicine: bridging imaging, education, and practice.Archives of medical sciences. Atherosclerotic diseases · 2025Article
- Association of Perioperative Nursing Care with Incidence of Surgical Site Infections and Short-Term Outcomes in Primary Liver Cancer Patients: A Retrospective Comparison with Standard Care.Therapeutics and clinical risk management · 2025Article
- Primary squamous cell carcinoma of the liver.Przeglad gastroenterologiczny · 2025Article
- Cortisol as a factor contributing to the development of non-alcoholic fatty liver disease in severely obese patients: a single-center prospective study.Archives of medical sciences. Atherosclerotic diseases · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) and image processing are revolutionising the diagnosis and management of liver cancer. Recent advancements showcase AI's ability to analyse medical imaging data, like computed tomography scans and magnetic resonance imaging, accurately detecting and classifying liver cancer lesions for early intervention. Predictive models aid prognosis estimation and recurrence pattern identification, facilitating personalised treatment planning. Image processing techniques enhance data analysis by precise segmentation of liver structures, fusion of information from multiple modalities, and feature extraction for informed decision-making. Despite progress, challenges persist, including the need for standardised datasets and regulatory considerations.
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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.