Artificial Intelligence Medical Compendium

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

Showing 16,651 to 16,660 of 213,633 articles

Applications of bioimpedance measurement in clinical and allied fields: a comprehensive review.

Biomedical engineering online
BACKGROUND: Accurate and timely disease detection is essential in modern healthcare. Conventional imaging methods such as computed tomography (CT), magnetic resonance imaging (MRI), and dual-energy X-ray absorptiometry (DXA) offer valuable diagnostic... read more 

KmalPred: a deep learning framework for lysine malonylation site prediction using protein language model representations.

BMC biology
BACKGROUND: Lysine malonylation (Kmal) is a reversible post-translational modification involved in metabolic regulation and other essential biological processes across diverse species. Accurate identification of Kmal sites is important for understand... read more 

Novel molecular design via a scaffold-aware transformer with multi-scale attention mechanisms.

Journal of cheminformatics
Recent advancements in artificial intelligence have demonstrated enhanced potential in accelerating drug discovery by exploring vast chemical spaces and predicting molecular properties. In particular, scaffold-constrained molecular generation has ena... read more 

Artificial intelligence and neurodegeneration: state of the art and explainability.

International journal of retina and vitreous
BACKGROUND: Alzheimer disease (AD) and Parkinson disease (PD) are an increasing healthcare concern and growing cause of disability in our century. The advent of the artificial intelligence (AI) era and the early changes in retina and optic nerve morp... read more 

Re: Clarifying comparative claims in digital cognitive assessment: Assessing concurrent validity in a shared cohort.

Alzheimer's research & therapy
In response to correspondence from Cognivue, Inc. regarding our publication (Jannati et al., 2025), we clarify that our analysis employed a rigorous paired-sample design using the same 930 participants from the Bio-Hermes-001 study for both the Digit... read more 

Clarifying comparative claims in digital cognitive assessment: a matters arising on multimodal detection of cognitive impairment and amyloid positivity.

Alzheimer's research & therapy
Digital cognitive assessments represent an important and rapidly evolving approach to detecting cognitive impairment and Alzheimer's disease-related pathology. Jannati et al. report promising findings using a multimodal digital clock and recall asses... read more 

Nanostructured High-Entropy Yolk-Shell Oxides Platform for Efficient Metabolic Profiling of Diabetic Retinopathy.

Analytical chemistry
Diabetic retinopathy (DR) is a leading cause of blindness in middle-aged and elderly populations worldwide, and its diagnosis remains challenging due to the reliance on subjective interpretation of retinal images by experienced ophthalmologists. Here... read more 

Accuracy, Readability, and Clinical Applicability of AI-Generated Breastfeeding Education Brochures: A Mixed-Methods Evaluation.

Journal of human lactation : official journal of International Lactation Consultant Association
BACKGROUND: Generative artificial intelligence (AI) is increasingly used in health communication and nursing education; however, its clinical reliability remains uncertain. Breastfeeding education requires accurate, readable, and clinically applicabl... read more 

Machine learning-based risk prediction model for postoperative acute kidney injury in surgical patients with chronic kidney disease (CKD): development, validation, and SHAP-based explainability.

Renal failure
This study aimed to develop machine learning models to predict postoperative acute kidney injury (AKI) in surgical patients with pre-existing chronic kidney disease (CKD), a serious complication associated with high morbidity and accelerated disease ... read more 

Machine learning-based evaluation and dimensionality optimization of groundwater quality indices for drinking and irrigation in the Vietnamese Mekong Delta.

Journal of environmental management
Groundwater is the principal source of drinking and agricultural water supply in the Vietnamese Mekong Delta (VMD), yet it is increasingly threatened by salinization, redox-driven metal mobilization, and unsustainable abstraction. Reliable and cost-e... read more