Artificial Intelligence Medical Compendium

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

Showing 18,071 to 18,080 of 214,278 articles

Adaptive patch sampling and location-aware reasoning for whole body PET-CT multi-organ segmentation.

Scientific reports May 15, 2026
Patch-wise learning is a common strategy for training neural networks on large-scale dense prediction problems, yet existing approaches assume uniform or fixed sampling distributions. This assumption is suboptimal when learning difficulty varies spat... read more 

NucVerse3D: generalizable 3D nuclear instance segmentation across heterogeneous microscopy modalities.

Scientific reports May 15, 2026
Accurate three-dimensional (3D) nuclear instance segmentation is a prerequisite for quantitative phenotyping in volumetric microscopy, yet remains challenging in densely packed tissues, irregular nuclear morphologies, and across heterogeneous imaging... read more 

Neural grid control systems with predictive transient stability enhancement enabling 100 percent renewable integration through distributed intelligence and real time topology reconfiguration.

Scientific reports May 15, 2026
The galloping movement toward completely renewable power systems means that new control architectures are needed that can cope with increased variability to date whilst maintaining short-lived stability in low-inertia networks. This paper presents a ... read more 

Parameter-free optimization algorithm effective and precise solution of the optimal power flow problem.

Scientific reports May 15, 2026
Difficult Optimization problems can be efficiently solved through nature-inspired optimization algorithms, which remain problem-independent and are computational models at a conceptual level. In this work, a Jaya algorithm will be offered for tacklin... read more 

Beyond translation: a patient-centered research agenda for artificial intelligence interpreter services in healthcare.

NPJ digital medicine May 15, 2026
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Artificial intelligence iterative imaging reconstruction with low-dose CT scans for hepatic metastases.

Scientific reports May 15, 2026
Contrast-enhanced CT is commonly used in the evaluation of hepatic metastatic lesions. This prospective study aimed to assess the capability of artificial intelligence iterative reconstruction (AIIR) in low-dose CT for detection of hepatic metastases... read more 

Integrating machine learning and multi-criteria decision analysis for health risk management in water distribution networks.

Scientific reports May 15, 2026
Leakages and breaks in water distribution networks (WDNs) cause significant water losses and pose health risks due to pathogen intrusion. The Water Safety Plan (WSP), developed by the World Health Organization (WHO), provides a comprehensive framewor... read more 

Network clustering algorithms and preprocessing pipelines for robust cell type identification in single-cell RNA sequencing data.

Scientific reports May 15, 2026
Single cell RNA-seq (scRNA-seq) technologies provide unprecedented resolution representing transcriptomics at the level of single cell. One of the biggest challenges in scRNA-seq data analysis is the cell type annotation, which is usually inferred by... read more 

Applying explainable artificial intelligence to interpret supervised ensemble learning models for robust credit card fraud detection.

Scientific reports May 15, 2026
As the usage of digital financial transactions continue to swell, it becomes all the more crucial to employ classifiers with machine learning techniques in order to process credit card fraud detection. While complex ensemble models can reach incredib... read more 

Identification and diagnosis of flow instability in parallel channel systems using machine learning.

Communications engineering May 15, 2026
Density wave oscillations in parallel thermal-fluid systems threaten operational safety due to uneven flow and instability. Predicting these oscillations is a critical challenge for both forced and natural circulation systems. Here, we demonstrate an... read more 
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