Artificial Intelligence Medical Compendium

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

Showing 44,431 to 44,440 of 224,055 articles

Artificial intelligence use in medical writing: changing discussion points (Letter in response to "Scientific writing in the age of artificial intelligence: trust on trial?").

Postgraduate medical journal Mar 5, 2026
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TDCC: A Trustworthy Deep Credal Clustering Method for Uncertain Data.

IEEE transactions on cybernetics Mar 5, 2026
Deep clustering has achieved remarkable success in handling various types of real-world data, but often suffers from overconfidence, forcing ambiguous samples into specific clusters even when the evidence is insufficient. To address this limitation, ... read more 

Topology-Aware Generation and Activity-Based Filtering: A Computational-Experimental Framework for Data-Scarce Quaternary Ammonium Compound Discovery.

Journal of chemical information and modeling Mar 5, 2026
Quaternary ammonium compounds (QACs) are widely used antimicrobial disinfectants whose efficacy is threatened by increased bacterial resistance. Artificial intelligence-guided development of novel QACs is constrained by historically sparse structure-... read more 

Inhibitory Feedback Enables Predictive Learning of Multiple Sequences in Neural Networks.

Neural computation Mar 5, 2026
Anticipating future events is a key computational task for neuronal networks. Experimental evidence suggests that reliable temporal sequences in neural activity play a functional role in the association and anticipation of events in time. However, ho... read more 

Force Learning in Balanced Cortical E-I Networks.

Neural computation Mar 5, 2026
Force learning is a learning method for generating various types of complex dynamics in recurrent neural networks (RNNs), which is related to the reservoir computing (RC). RC uses an RNN called reservoir whose synaptic weights are randomly generated ... read more 

Multiclass Linear Perceptrons With Multiplicative Margins.

Neural computation Mar 5, 2026
This article introduces a family of multiclass linear perceptron classifiers with a multiplicative margin mechanism (MMPerc), as an alternative to standard margin-free and additive margin perceptrons. The multiplicative formulation enforces classific... read more 

Accuracy of intraocular lens power calculation formulas in cataract eyes after vitrectomy with silicone oil tamponadeļ¼ša network meta-analysis.

Ophthalmic research Mar 5, 2026
OBJECTIVE: To systematically compare the accuracy of artificial intelligence and traditional intraocular lens (IOL) calculation formulas in cataract eyes after vitrectomy with silicone oil tamponade. METHODS: PubMed, Cochrane, Embase, and Web of Scie... read more 

Heterogeneous associations of a mobile health-based disease management program on uncontrolled hypertension: A target trial emulation study.

PLOS digital health Mar 5, 2026
Long-term effectiveness of digital health interventions for hypertension remains unclear, particularly regarding individual variability in treatment response. This study examined the association of a mobile health-based disease management program for... read more 

Visual intelligence for efficient human action recognition in human computers interaction applications.

PloS one Mar 5, 2026
Human Action Recognition (HAR) is a pivotal area in computer vision, video surveillance, and human-computer interaction (HCI), driven by the need for efficient and accurate models to enhance HCI experiences. Traditional HAR methods often rely on hand... read more 

Vision-Controlled autonomous navigation in unstructured environments: Integrating image processing, path planning, and trajectory control in robotic systems.

PloS one Mar 5, 2026
Advancements in artificial intelligence (AI) have driven robotics to the forefront of technological innovation, enhancing productivity and safety across industries. Autonomous navigation, especially in unstructured environments with irregular terrain... read more 
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