Latest AI in Medicine Research | AI Medical Compendium

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Artificial intelligence in nephrology: predicting CKD progression and personalizing treatment.

International urology and nephrology Nov 8, 2025

Chronic kidney disease (CKD) represents a major and expanding global health challenge, with prevalence rising due to aging populations, diabetes, hypertension, and environmental factors. Conventional risk assessment tools such as the CKD Epidemiology... read more

Ensemble Learning Model: A Novel Technique to Detect Malignancy in Effusion Cytology.

Cytopathology : official journal of the British Society for Clinical Cytology Nov 8, 2025

AIMS AND OBJECTIVES: This study applied an ensemble learning model combining six transfer learning architectures to detect malignancy in effusion cytology. MATERIALS AND METHODS: In this current study, we had a total of 110 cases of effusion cytology... read more

Artificial Intelligence-Enabled Digital Auscultation for Detecting Heart Failure With Reduced Ejection Fraction in Sub-Saharan Africa: The DAMSUN-HF Study.

Circulation Nov 8, 2025

From voxel to treatment response: Rethinking the role of imaging in cystic fibrosis in the era of artificial intelligence.

Diagnostic and interventional imaging Nov 8, 2025

Age at Periacetabular Osteotomy Does Not Reduce the Likelihood of Excellent 20-Year Patient-Reported Outcomes in Native Hips: A K-Means Clustering Analysis.

The Journal of arthroplasty Nov 8, 2025

BACKGROUND: Periacetabular osteotomy (PAO) is widely used to treat symptomatic hip dysplasia; however, the long-term effect of age at PAO on patient-reported outcome measures (PROMs) remains controversial. We aimed to determine whether age at PAO inf... read more

KLF7 as a biomarker for the pre-metastatic state promotes colorectal cancer liver metastasis via TGFβ autocrine signaling.

Cancer letters Nov 8, 2025

Although metastasis-initiating cells drive metastasis, only a certain subpopulation of these cells can successfully disseminate from the primary tumor to colonize metastatic sites. The identification and characterization of this subpopulation remain ... read more

Patients visits forecasting in emergency departments: Self-adapting LSTM models for evolving data distributions.

Computer methods and programs in biomedicine Nov 8, 2025

BACKGROUND AND OBJECTIVE: Overcrowding in emergency departments (EDs) remains a critical challenge in healthcare systems. Accurate forecasting of patient visits is essential to optimize the allocation of human and material resources. However, traditi... read more

Predictive value of dynamic creatinine cumulative exposure and trajectory classification onmortality in severe acute pancreatitis: a multicenter retrospective cohort study.

International journal of medical informatics Nov 8, 2025

AIMS: This study aims to evaluate the predictive value of cumulative creatinine exposure (CumCr) and dynamic creatinine trajectories for severe acute pancreatitis (SAP) prognosis and construct a machine learning-based risk stratification model. METHO... read more

Synaptic pruning facilitates online Bayesian model selection.

Neural networks : the official journal of the International Neural Network Society Nov 8, 2025

Identifying appropriate structures for generative or world models is essential for both biological organisms and machines. This work shows that synaptic pruning facilitates efficient statistical structure learning. We extend previously established ca... read more

A functional system-informed graph neural network framework to quantify interpretable brain dysfunction in ASD.

Neural networks : the official journal of the International Neural Network Society Nov 7, 2025

Autism Spectrum Disorder (ASD) is one of the most common neurodevelopmental disorders affecting patients from childhood to adulthood. Yet, its pathological mechanism has not been conclusively established, and its diagnosis mainly depends on subjectiv... read more

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