Artificial Intelligence Medical Compendium

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

Showing 35,491 to 35,500 of 222,841 articles

An error-compensated immersion and invariance adaptive estimator for hammerstein neural networks with binary-valued observations.

ISA transactions Apr 4, 2026
Designing a parameter recovery algorithm using binary-valued observations that can handle the quantized identification problem of a nonlinear system is essential for various engineering processes including spectrum sensing to network communication, a... read more 

Challenges in translating AI-driven ASD/ADHD diagnosis: A methodological systematic review.

International journal of medical informatics Apr 4, 2026
BACKGROUND: Early and accurate diagnosis of neurodevelopmental disorders (NDDs), including autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD), remains a critical challenge in pediatric care. Traditional methods rely on... read more 

HybridMolGen: A Unified Framework for Goal-Directed Molecular Generation via Multi-Objective Reinforcement Learning.

Bioinformatics (Oxford, England) Apr 4, 2026
MOTIVATION: De novo molecular design remains a fundamental challenge in drug discovery, requiring simultaneous optimization of multiple conflicting objectives such as drug-likeness, synthetic accessibility, and novelty while maintaining chemical vali... read more 

Dynamic trajectories of organ dysfunction in sepsis using the SOFA-2 score and early prediction from multicenter cohorts.

Intensive & critical care nursing Apr 4, 2026
OBJECTIVES: The Sequential Organ Failure Assessment-2 (SOFA-2) score reflects contemporary intensive care practices, yet its longitudinal application in sepsis remains unexplored. METHODS: We conducted a multicentre retrospective cohort study of 18,4... read more 

Mapping intratumoral heterogeneity through PET-derived washout and deep learning after proton therapy.

Computers in biology and medicine Apr 4, 2026
The distribution of produced isotopes during proton therapy can be imaged with Positron Emission Tomography (PET) to verify dose delivery. However, biological washout, driven by tissue-dependent processes such as perfusion and cellular metabolism, re... read more 

LADNET: An MRI-based deep learning approach for Alzheimer's disease detection.

Computers in biology and medicine Apr 4, 2026
Alzheimer's disease (AD) is considered a leading form of dementia, found in the majority of individuals, and it accounts for the highest prevalence of all the types of dementia. It is a gradually progressing condition which can begin with mild memory... read more 

Imaging and machine learning reveal pigment ring spatial characteristics in vitiligo progression.

Computers in biology and medicine Apr 4, 2026
BACKGROUND: Vitiligo is a chronic autoimmune disorder causing skin depigmentation due to melanocyte loss, with pigment ring dynamics being key to understanding and managing the disease. METHODS: Data from 105 vitiligo patients were collected using re... read more 

Development of a deep learning tool to detect drug-resistance epilepsy with EEG.

Epilepsy & behavior : E&B Apr 4, 2026
INTRODUCTION: Drug-resistant epilepsy affects about 30% of patients and is linked to poorer outcomes. Deep learning can extract complex patterns from EEG data and shows promise for identification of drug resistance (DRE). This study aimed to develop ... read more 

Art education in the age of AI: Exploring ethical practices and pedagogical approaches in Chinese.

Acta psychologica Apr 4, 2026
This study investigates the integration of artificial intelligence (AI) in visual arts education among Chinese students, focusing on the influences of gender, education level, and university type on students' perceptions and engagement with AI tools.... read more 

From Chatbot to Care Team: A Pilot Study of Generative Artificial Intelligence to Support Nurse-Pharmacist Collaboration and Patient Care in Telemedicine.

Journal of doctoral nursing practice Apr 4, 2026
Background: Collaboration between nurse practitioners (NPs) and pharmacists is essential for comprehensive patient care, especially in telehealth settings where communication is often asynchronous. Generative artificial intelligence (AI) offers a nov... read more 
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