Artificial Intelligence Medical Compendium

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

Showing 12,111 to 12,120 of 210,314 articles

A well-perceived, blind image quality assessment algorithm using an enhanced noise feature criterion.

Scientific reports May 23, 2026
Many deep learning-based blind image quality assessment (BIQA) methods achieve high accuracy but rely heavily on complex network architectures and large datasets, which limit their applicability. This study proposes an enhanced perception-based no-re... read more 

Physics informed activation functions and loss functions for signal reconstruction and digital twinning.

Scientific reports May 23, 2026
A coupled two-body mass Lagrangian is used to model a magnetic rail nScrypt printer extruder with a sensor attached to the side for signal reconstruction and digital twinning. The equations of motion (EQM) derived from the Lagrangian are then used to... read more 

Machine learning-based risk prediction of 28-day mortality for sepsis patients with augmented renal clearance.

Scientific reports May 23, 2026
Augmented renal clearance (ARC) frequently occurs in critically ill septic patients and is known to impact survival outcomes. To address this, we aimed to develop an interpretable machine learning model for early mortality prediction in this high-ris... read more 

Moving from table to graph in physics-informed spatio-temporal symbolic regression.

Scientific reports May 23, 2026
Symbolic Regression (SR) is a powerful technique for discovering analytical mathematical expressions that describe observed numerical data. Traditionally, SR models work on data in tabular form, imposing a purely functional mapping without considerin... read more 

From sleep staging to spindle detection: a case study on end-to-end automated sleep analysis.

Scientific reports May 23, 2026
Automation of sleep analysis, including both macrostructural (sleep stages) and microstructural (e.g., sleep spindles) elements, promises to enable large-scale sleep studies and to reduce variance due to inter-rater incongruencies. While individual s... read more 

An experimental and computational intelligence simulation for predicting the strength accuracy of self-compacting concrete using Linz-Donawitz Slag as industrial waste derivatives.

Scientific reports May 23, 2026
This study investigates the mechanical performance of self-compacting concrete (SCC) incorporating Linz-Donawitz Slag (LDS) as a partial cement replacement, with an emphasis on developing an accurate predictive framework for compressive strength (CS)... read more 

SurgWound-Bench: a benchmark for surgical wound diagnosis.

NPJ digital medicine May 23, 2026
Surgical site infection (SSI) is one of the most common and costly healthcare-associated infections, and surgical wound care remains a significant challenge for preventing SSIs and improving patient outcomes. Although deep learning has been explored ... read more 

Machine learning-driven predictive modeling and process optimization of one-pot biomass conversion to FDCA via heterogeneous catalysis.

Scientific reports May 23, 2026
The modelling of cascade reactions is currently playing a major role in the scale-up of industrial processes, particularly in biomass valorization. This study investigates machine learning (ML) techniques to optimize the reaction conditions of one-po... read more 

Integrated deep learning model for multi-label retinal disease diagnosis.

Scientific reports May 23, 2026
The multi-label retinal disease classification is a difficult one since fundus images might comprise many co-occurring abnormalities, extreme in relation to the class, as well as significant lesion appearance variation. In order to deal with this iss... read more 

PickAMoo: LIDAR-enhanced mask R-CNN segmentation for precision weight estimation in dairy cattle using smartphone imaging.

Scientific reports May 23, 2026
Data on body weight, as well as objective measures of body condition and size, are essential for appropriate decision-making on farm level, for example in calculations of nutrient requirements, health monitoring, and breeding-related assessment. Weig... read more 
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