Latest AI in Medicine Research | AI Medical Compendium

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A physics-embedded dual-learning imaging framework for electrical impedance tomography.

Neural networks : the official journal of the International Neural Network Society Dec 11, 2025

Electrical Impedance Tomography (EIT) is a promising noninvasive imaging technique that reconstructs the spatial conductivity distribution from boundary voltage measurements. However, it poses a highly nonlinear and ill-posed inverse problem. Traditi... read more

Artificial Intelligence in Pediatric Surgery-From Vision to Clinical Reality.

European journal of pediatric surgery : official journal of Austrian Association of Pediatric Surgery ... [et al] = Zeitschrift fur Kinderchirurgie Dec 11, 2025

Your brain doesn't look a day past 70! Cross-sectional associations with brain-predicted age in the cognitively-intact oldest-old.

GeroScience Dec 11, 2025

The cognitively-intact oldest-old (85 +) may be the most-resilient members of their birth cohort; due to survivorship effects (e.g., depletion of susceptibles), risk factors associated with brain aging biomarkers in younger samples may not generalize... read more

Allosteric prediction via convolutional neural networks and protein structural and dynamical features.

Biophysical journal Dec 11, 2025

Allostery is the phenomenon whereby a binding event or covalent modification at one site in a protein modulates function at a distal site, thus changing a protein's functional state. As such, it is a ubiquitous aspect of protein functional regulation... read more

Development and Validation of an Interpretable Machine Learning Model for Predicting Early Fusion After Anterior Cervical Discectomy and Fusion.

Spine Dec 11, 2025

STUDY DESIGN: Retrospective case-control study. OBJECTIVES: This study aimed to develop and preliminarily validate a machine learning (ML) model for predicting the likelihood of early fusion (EF) after anterior cervical discectomy and fusion (ACDF) a... read more

Multi-data fusion and machine learning for predicting ballast water discharge in ports.

Marine pollution bulletin Dec 11, 2025

Although ballast water is essential for vessel stability, its discharge is a major vector for invasive species spread. With stricter regulations, accurate port-level discharge prediction has become critical for governance. This study develops a machi... read more

Enhancing the circular economy of lithium-ion batteries: a data-driven optimisation of leaching efficiency using kernel ridge regression.

Waste management (New York, N.Y.) Dec 11, 2025

The increasing demand for lithium-ion batteries (LIBs) and the consequential accumulation of waste from these batteries necessitate its appropriate disposal and recycling. This is important in order to responsibly address the environmental concerns a... read more

Artificial intelligence in dermatology: Ethical considerations from model selection to public administration.

Journal of the American Academy of Dermatology Dec 11, 2025

Developing explainable machine learning models from biochemical and clinical data to predict all-cause and cause-specific mortality in CVD-cancer comorbidity: A longitudinal study based on NHANES.

International journal of cardiology Dec 11, 2025

BACKGROUND: Cardiovascular disease (CVD) and cancer are leading causes of mortality, often coexisting in aging populations. Patients with comorbidities face synergistically increased risks, yet accurate and interpretable prediction tools remain limit... read more

Univariate anomaly detection in pressure data of a pilot aerobic membrane bioreactor unit using long short-term memory autoencoders.

Environmental research Dec 11, 2025

This work presents a novel approach for univariate anomaly detection in membrane pressure of an aerobic membrane bioreactor (aMBR) using Long Short-Term Memory (LSTM) autoencoders. Membrane fouling, manifested by an increase in applied or transmembra... read more

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