Artificial Intelligence Medical Compendium

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

Showing 57,161 to 57,170 of 227,153 articles

Sonar-neus:voxel-based efficient neural implicit surface reconstruction for forward-looking sonar.

Neural networks : the official journal of the International Neural Network Society Jan 29, 2026
Dense 3D reconstruction using forward-looking sonar (FLS) is essential for ocean exploration. Recent advancements in FLS-based 3D reconstruction using neural radiance fields have emerged, demonstrating promising results. However, their excessively sl... read more 

Correlative analysis between ocular surface features and carotid plaque : A multimodal machine learning framework.

Computer methods and programs in biomedicine Jan 29, 2026
BACKGROUND AND OBJECTIVE: The diagnosis of carotid plaques plays an important role in revealing cardiovascular and cerebrovascular diseases, thus attracting widespread research attention. However, most medical examinations rely heavily on specialists... read more 

AI and Big Data in Oncology: A Physician-Centered Perspective on Emerging Clinical and Research Applications.

Cancer innovation Jan 29, 2026
The convergence of artificial intelligence (AI) and big data is reshaping contemporary oncology by enabling the integration of multimodal information across imaging, pathology, genomics, and clinical records. From a physician-centered perspective, th... read more 

Frailty trajectories and risk of incident advanced CKM syndrome: A national cohort analysis.

Archives of gerontology and geriatrics Jan 29, 2026
BACKGROUND: The interplay between frailty dynamics and the newly defined Cardiovascular-Kidney-Metabolic (CKM) syndrome remains poorly understood. We aimed to quantify the association between frailty transitions and the risk of incident advanced CKM ... read more 

Raman spectroscopy with machine-learning classification for the prediction of stereotactic radiotherapy induced treatment toxicity in high-risk localised prostate cancer.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 29, 2026
Radiotherapy can lead to late-onset toxicity, to varying extents between individuals due to differences in radiosensitivity. Predicting which patients are most at risk is key to augmenting the therapeutic window. However, the underlying biological me... read more 

Warm-start or cold-start? A comparison of generalizability in gradient-based hyperparameter tuning.

Neural networks : the official journal of the International Neural Network Society Jan 29, 2026
Bilevel optimization (BO) has garnered increasing attention in hyperparameter tuning. BO methods are commonly employed with two distinct strategies for the inner-level: cold-start, which uses a fixed initialization, and warm-start, which uses the las... read more 

Enhancing adversarial transferability via curvature-aware penalization.

Neural networks : the official journal of the International Neural Network Society Jan 29, 2026
Transfer-based attack generates adversarial examples on a surrogate model and exploits the intriguing property of transferability to deceive other unknown models, making it practical for real-world scenarios. Recent research has sought to optimize th... read more 

Learnable dendrite neural P systems and applications in survival prediction of glioblastoma patients.

Neural networks : the official journal of the International Neural Network Society Jan 29, 2026
Current neural-like P systems use "point neurons" as the computing entities, and the computations in these neurons are simplified, ignoring the fact that, in organisms, subcellular compartments (such as neuronal dendrites) can also perform operations... read more 

Artificial neural networks for predicting ground reaction forces, feet centers of pressure, spine loads, and trunk muscle forces during load-handling activities.

Journal of biomechanics Jan 29, 2026
Excessive spinal loading is a key contributor to occupational musculoskeletal injuries. Numerous biomechanical models, ranging from simple to highly sophisticated, are available to evaluate these loads. While simple models often lack accuracy, advanc... read more 

High-throughput thickness analysis of 2D materials enabled by intelligent image segmentation.

Nanoscale Jan 29, 2026
Thickness measurement of two-dimensional (2D) materials is essential due to their thickness-dependent physical and optical properties. However, current thickness characterization techniques, e.g., Atomic Force Microscopy (AFM), suffer from limitation... read more 
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