Artificial Intelligence Medical Compendium

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

Showing 34,621 to 34,630 of 221,633 articles

Pipeline evaluation of a state-of-the-art AI algorithm for detection of focal cortical dysplasia: insights into potential failure sources.

Brain informatics Apr 3, 2026
PURPOSE: MELD Graph is a state-of-the-art artificial intelligence (AI) model for automated detection of focal cortical dysplasia (FCD), but its performance remains limited, highlighting the need to investigate which aspects of the pipeline affect its... read more 

CRISPR-Cas9 and next-generation gene editing strategies for therapeutic intervention of neurodegenerative pathways in Alzheimer's disease: a state-of-the-art review.

Acta neurologica Belgica Apr 3, 2026
Alzheimer's disease (AD) is a progressive and multifactorial neurodegenerative disorder and the leading cause of dementia worldwide, characterized by extracellular amyloid-β (Aβ) plaque deposition, intracellular neurofibrillary tangles composed of hy... read more 

An Interpretable Fuzzy-AI Clinical Decision Support System for Selecting Orthognathic Surgery in Skeletal Class III Malocclusion.

The Journal of craniofacial surgery Apr 3, 2026
This study aimed to develop an interpretable fuzzy-artificial intelligence (AI) framework to support treatment decision-making between orthognathic surgery and orthodontic camouflage in patients with skeletal class III malocclusion, while providing c... read more 

Study on material basis and network mechanism of the Guizhi Fuling pills in the treatment of endometriosis and endometrial polyps.

Medicine Apr 3, 2026
To explore the material basis and network mechanism of the Guizhi Fuling pills in the treatment of endometriosis and endometrial polyps based on network pharmacology and machine learning. The effective constituents and targets of the Guizhi Fuling pi... read more 

Prediction model for frailty risk in ischemic stroke patients: Application and validation of support vector machines and nomograms.

Medicine Apr 3, 2026
This study aimed to develop a prediction model based on nomograms and support vector machines (SVM) to assess frailty risk in ischemic stroke patients. Clinical information of ischemic stroke patients admitted to our hospital from January 2023 to Dec... read more 

The Motion is the Message: Evaluating Motion Tracking Quality for VR Avatars.

IEEE transactions on visualization and computer graphics Apr 3, 2026
Motion tracking to project users into embodied virtual reality (VR) as avatars is an essential application of real-time computer graphics. Most current embodied VR systems rely on head-mounted displays (HMDs) to estimate user pose, as headset sensors... read more 

Which Strategy When? Designing an Adaptive Search System for Virtual Reality.

IEEE transactions on visualization and computer graphics Apr 3, 2026
Searching for information, objects, or places in virtual reality (VR) is often a cumbersome process that breaks user immersion. Existing interaction techniques like pointing or voice commands are context-dependent, yet current systems fail to help us... read more 

To be Healed or Hacked? - User-Centered Ethical Design for Embodied AI in Mental Health Care.

IEEE transactions on visualization and computer graphics Apr 3, 2026
The global prevalence of mental health disorders has created a substantial treatment gap. To support clinicians and increase access to care, researchers in the field of Artificial Intelligence (AI) and Virtual Reality (VR) have investigated technolog... read more 

How Can State Space Models Enhance Machine Learning on Graphs?

IEEE transactions on pattern analysis and machine intelligence Apr 3, 2026
Message Passing Neural Networks are known to struggle with limited expressivity and capturing long-range dependencies. While Graph Transformers alleviate these issues with global attention modules, their quadratic complexity limits efficiency. Recent... read more 

DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning.

IEEE transactions on pattern analysis and machine intelligence Apr 3, 2026
Meta learning recently has been heavily researched and helped advance the contemporary machine learning. However, achieving well-performing meta-learning model requires a large amount of training tasks with high-quality meta-data representing the und... read more 
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