Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1 to 10 of 227,876 articles

Preoperative Prediction of Ductal Carcinoma In Situ Upstaging Using Machine Learning-Based Peritumoral Breast MRI Radiomics.

Journal of magnetic resonance imaging : JMRI Sep 25, 2026
BACKGROUND: A subset of biopsy-confirmed ductal carcinoma in situ (DCIS) cases can be upstaged to invasive breast cancer at surgery. Preoperative identification of upstaging risk is essential for treatment planning. PURPOSE: To develop clinical and b... read more 

Predicting prostate cancer mortality using UK Biobank data: a multimodal machine learning approach.

European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) Sep 25, 2026
Prostate cancer remains a major cause of cancer-related mortality among men worldwide; however, it remains challenging to predict disease progression in individuals. While numerous tools attempt to forecast the likelihood of developing the cancer, fe... read more 

[Research progress on the mechanisms and clinical interventions of gut microbiota in radiation-induced intestinal injury].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery Sep 25, 2026
Radiotherapy is a critical treatment modality for abdominal and pelvic malignancies; however, it is associated with a high incidence of radiation-induced intestinal injury, which severely limits therapeutic efficacy and impairs patients' quality of l... read more 

Letter to the Editor: Artificial intelligence in nephrology point-of-care ultrasonography - opportunities, limitations, and future directions.

World journal of nephrology Sep 25, 2026
We read with interest the retrospective cohort study by Silipigni et al entitled "Role of point-of-care ultrasonography in kidney disease management: A single solution for multiple challenges". Artificial intelligence (AI) is rapidly reshaping the wa... read more 

Predicting delayed graft function after kidney transplant: Do complex models help compared to standard statistics?

World journal of nephrology Sep 25, 2026
Both traditional statistics, such as the logistic regression (LR) model, and machine learning (ML) have strengths and limitations for predicting outcomes after kidney transplantation. The LR model is simple, interpretable, and reliable with small dat... read more 

Integrated biomarkers and renal Doppler for early acute kidney injury diagnosis in hepatitis C virus cirrhosis.

World journal of nephrology Sep 25, 2026
BACKGROUND: Acute kidney injury (AKI) complicates up to 65% of hospitalizations for decompensated cirrhosis and is associated with high short-term mortality. Traditional markers such as serum creatinine are unreliable in cirrhosis, while novel biomar... read more 

Artificial intelligence in biomarker discovery for diseases: diagnostic and therapeutic prospects.

Signal transduction and targeted therapy Sep 25, 2026
Biomarkers are central to modern diagnostics and therapeutics, yet traditional discovery approaches suffer from single-modality analyses, weak mechanistic foundations, and low reproducibility. Artificial intelligence (AI) enables the integration of c... read more 

[Recent progress in algal-bacterial symbiotic and mutualistic systems].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology Sep 25, 2026
Algal-bacterial symbiotic and mutualistic systems enhance community stability and functional performance through interspecies cooperation and signal exchange, demonstrating considerable potential in environmental remediation and sustainable biomanufa... read more 

Neuroimaging Biomarkers for Brain Disorder Diagnosis Using Advanced Learning Techniques.

International journal of neural systems Sep 25, 2026
Mental illness is becoming increasingly common in everyday life, affecting a growing number of people. Functional Magnetic Resonance Imaging (fMRI) is an effective technique for detecting mental disorders. Resting-state fMRI (rs-fMRI) analyses sponta... read more 

Dual-Biofluid Metabolomics Combined With Machine Learning Enables Noninvasive Diagnosis of Drug Resistance in Benign Prostatic Hyperplasia.

Small (Weinheim an der Bergstrasse, Germany) Sep 25, 2026
With global population aging, benign prostatic hyperplasia (BPH) prevalence has risen, with one-quarter of patients showing inadequate treatment response or drug resistance (DR) and no reliable noninvasive diagnostic method currently available. Curre... read more 
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