Artificial Intelligence Medical Compendium

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

Showing 16,381 to 16,390 of 213,568 articles

GNN enhanced reinforcement learning for robot navigation in complex topological networks.

Scientific reports May 20, 2026
To address the challenges encountered by intelligent robots in perceiving high-dimensional environmental states and making adaptive trajectory planning decisions in complex topological environments, this paper presents a Graph Neural Network-Reinforc... read more 

Enhancing composition-based materials property prediction.

Scientific reports May 20, 2026
Crystal graph neural networks are widely applicable in modeling experimentally synthesized compounds and hypothetical materials with unknown synthesizability. In contrast, structure-agnostic predictive algorithms allow exploring previously inaccessib... read more 

Synergistic ANN-GA-CFD framework for high-performance Savonius wind turbine optimization with experimental validation.

Scientific reports May 20, 2026
Savonius wind turbine (SWT) optimization via machine learning and optimization techniques has attracted increasing attention; however, most existing studies rely on limited datasets that cover only specific geometric parameters or operating condition... read more 

Quantifying regional contributions to sex classification from fundus photographs via a two-stage attention-based deep learning approach.

Scientific reports May 20, 2026
This study quantitatively assesses the relative contribution of anatomically defined retinal regions (macula, optic disc, and retinal vasculature) to biological sex classification from fundus photographs. We developed a two-stage multi-branch framewo... read more 

A predictive framework for evaluating the thermophysical properties of multi-walled carbon nanotube nanofluids dispersed in a water-ethylene glycol 50:50 base fluid.

Scientific reports May 20, 2026
This study presented a predictive optimization framework for evaluating the thermophysical properties of multi-walled carbon nanotube NFs dispersed in a 50:50 water-ethylene glycol base fluid. The main objective was to simultaneously predict TC and d... read more 

DeepShieldIDS: an AI-powered intrusion detection system leveraging HybridIDSNet for robust network security.

Scientific reports May 20, 2026
Traditional Intrusion Detection Systems (IDSs) are largely unable to provide the level of protection required to safeguard modern network environments against ever-evolving cyber threats. Conventional machine-learning-based feature representations ar... read more 

Expressive activation enhances user satisfaction in AIGC co-creation through perceived control and meaning-making.

Scientific reports May 20, 2026
As generative artificial intelligence (AIGC) tools gain widespread application in creative design, growing concerns have been raised over users' diminished sense of control and the emotional shallowness of AI-generated content. These limitations may ... read more 

Predicting sperm retrieval success in salvage testicular sperm extraction: a machine learning perspective.

International journal of impotence research May 20, 2026
This multicenter retrospective observational study aimed to identify predictive factors for successful secondary testicular sperm extraction (TESE) using advanced machine learning (ML) models. Data from 503 infertile men who underwent secondary TESE ... read more 

IALA-BPNN: superior house price prediction through multi-strategy optimized Artificial Lemming Algorithm and BP neural network.

Scientific reports May 20, 2026
Against this backdrop of a global economic downturn, the real estate market exhibits characteristics of both a consumer good and an investment asset, with housing prices displaying fluctuating nonlinear trends. Predicting these trends holds significa... read more 

Deep learning for predicting patient drug response by transferring gene-level and cell-level knowledge to tumors.

NPJ precision oncology May 20, 2026
Prediction of patient-level drug response is critical for precision oncology but remains limited by the scarcity of clinical data. While machine learning models trained on cell lines offer a scalable alternative, biological differences introduce doma... read more 
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