Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 224,513 articles

Artificial intelligence-based neonatal heart rate monitoring technologies: Systematic review.

World journal of clinical pediatrics Sep 9, 2026
BACKGROUND: Neonatal heart rate (HR) is an important parameter in the evaluation of newborn health and viability in the immediate postnatal period. AIM: To evaluate the accuracy, reliability, and clinical applicability of emerging non-contact and art... read more 

Patient satisfaction and performance of the A8+ TouchCare Nano in children and adolescents with type 1 diabetes mellitus.

World journal of clinical pediatrics Sep 9, 2026
BACKGROUND: The role of automated insulin delivery systems in type 1 diabetes mellitus (T1DM) is constantly expanding, merging continuous glucose monitoring readings with a control algorithm and a continuous subcutaneous insulin infusion device, i.e.... read more 

Automated Extraction of Postoperative Cancer Recurrence and Metastasis From Computed Tomography (CT) Reports: Semisupervised Deep Learning Study.

JMIR medical informatics Sep 8, 2026
BACKGROUND: Perioperative computed tomography (CT) imaging is essential for detecting postoperative recurrence and metastasis in cancer patients. However, large-scale automated extraction of oncological outcomes from CT reports remains limited by the... read more 

Mitigating limb ischemia in veno-arterial extracorporeal membrane oxygenation: A narrative review of evolving role of distal perfusion catheters.

World journal of critical care medicine Sep 9, 2026
Acute limb ischemia (ALI) is a serious complication of femoral artery cannulation during peripheral veno-arterial extracorporeal membrane oxygenation (VA-ECMO), with reported incidence rates approaching 17%. Although several contributing factors have... read more 

Variability in Journal and Publisher Policies on Artificial Intelligence Use in Manuscript Preparation: An Orthopaedic Perspective.

JB & JS open access Sep 9, 2026
BACKGROUND: Artificial intelligence (AI)-generated text has been detected in nearly 90% of orthopaedic peer-reviewed publications, yet public disclosure of AI use remains extremely low. Whether journal and publisher policies for authors on AI use are... read more 

Poly(amino acid) Dot-Based Fluorescent Receptor Array for Multiplexed Sensing of Saccharides and Amino Acids.

Analytical chemistry Sep 8, 2026
Inspired by protein-based odorant recognition in the mammalian olfactory system, we constructed a biomimetic fluorescent sensor array using poly(amino acid) dots synthesized from tyrosine, alanine, and cysteine. Saccharides and amino acids are two ca... read more 

MetaboAnnotate: An AI-powered Multiagent Framework for Integrating Annotation Tools for Untargeted Metabolomics.

Analytical chemistry Sep 8, 2026
Metabolite annotation remains a major bottleneck in untargeted metabolomics, limiting biological interpretation of large-scale mass spectrometry data sets. Although substantial advances have been made through spectral libraries, machine learning-base... read more 

Unlocking High-Fidelity Chemical NMR Spectral Information from Nonuniformly Sampled Experiments with Deep Learning.

Analytical chemistry Sep 8, 2026
Accelerating multidimensional NMR acquisition underpins many advances in chemical and biomolecular research by enabling timely chemical insight, high-throughput spectral analysis, and access to transient or chemically evolving systems. Nonuniform sam... read more 

Orthogonal Photoelectrochemical-Colorimetric Fingerprints for Machine Learning-Assisted Discrimination of Four Organophosphorus Pesticides.

Analytical chemistry Sep 8, 2026
Organophosphorus pesticides (OPs) are widely used in agriculture but pose severe neurotoxic threats to human health. Conventional OPs detection assays rely on the inhibition of acetylcholinesterase (AChE) activity by suppressing thiocholine (TCh) gen... read more 

Orthogonal Photoelectrochemical-Colorimetric Fingerprints for Machine Learning-Assisted Discrimination of Four Organophosphorus Pesticides.

Analytical chemistry Sep 8, 2026
Organophosphorus pesticides (OPs) are widely used in agriculture but pose severe neurotoxic threats to human health. Conventional OPs detection assays rely on the inhibition of acetylcholinesterase (AChE) activity by suppressing thiocholine (TCh) gen... read more 
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