AI Medical Compendium

Association between completing at least eight antenatal care contacts and maternal anaemia in Ghana: a cross-sectional study using causal machine learning.

BMJ open Jun 2, 2026

BACKGROUND: Maternal anaemia remains a pressing global health challenge, with a notable burden in low- and middle-income countries. Existing studies in sub-Saharan Africa have largely relied on average associations, thereby concealing key variation a... read more

Accuracy of Automated Deep Learning versus Expert Clinicians for Diagnosis of Acute Lacunar Stroke on CT Perfusion.

AJNR. American journal of neuroradiology Jun 2, 2026

BACKGROUND: Accurate diagnosis of lacunar stroke in the acute setting is challenging and often depends on MRI or clinical suspicion. CT perfusion (CTP) has only modest diagnostic accuracy and substantial interobserver variability yet is widely availa... read more

Confinement-Driven Redox Inversion and Predicted Ferromagnetism in One-Dimensional Sc3Cl8 within Single-Walled Carbon Nanotubes.

Nano letters Jun 2, 2026

Single-walled carbon nanotubes (SWCNTs) act as one-dimensional (1D) nanoreactors capable of stabilizing reactive species and unique low-dimensional phases. Here, we report the synthesis of an unprecedented 1D Sc3Cl8 phase formed via the confinement-i... read more

Multimodal Ultrasound Integration Pathways and Paradigm Innovations in Precision Diagnosis and Treatment of Thyroid Cancer.

Academic radiology Jun 2, 2026

RATIONALE AND OBJECTIVES: Thyroid cancer, the fastest-growing endocrine malignancy, is shifting from morphological evaluation to molecular-functional imaging. This review systematically evaluates the translational value of multimodal ultrasound techn... read more

Alignment of artificial intelligence-generated responses with systematic reviews in implant prosthodontics.

The Journal of prosthetic dentistry Jun 2, 2026

STATEMENT OF PROBLEM: Large language model (LLM)-based artificial intelligence (AI) platforms have emerged as tools to support clinical decision-making in dentistry, but their alignment with high-level evidence from systematic reviews in implant pros... read more

Evaluating machine learning tools to assist title and abstract screening in systematic literature reviews: a report based on the EULAR RA Management Recommendations Task Force.

Annals of the rheumatic diseases Jun 2, 2026

OBJECTIVES: Systematic literature reviews (SLRs) provide the scientific basis for European Alliance of Associations for Rheumatology (EULAR) task force projects, but they are highly time- and labour-intensive in an ever-growing research landscape, re... read more

A Hybrid Rule-Based and Large Language Model Artificial Intelligence Systems for Electrodiagnostic Reporting: Two-Center Retrospective Evaluation.

Muscle & nerve Jun 2, 2026

INTRODUCTION/AIMS: Electrodiagnostic (EDX) studies comprise nerve conduction studies (NCS) and needle electromyography (EMG). However, EDX reporting is heterogeneous across laboratories and often requires time-consuming documentation. We aimed to eva... read more

Plasmonic and surface-enhanced Raman nanobiosensors for quantitative molecular detection.

Discover nano Jun 2, 2026

Plasmonic surface-enhanced Raman scattering (SERS) nanobiosensors employ nanoscale electromagnetic field amplification to achieve ultrasensitive, multiplex molecular detection. This review systematically outlines the fundamental plasmonic principles,... read more

AI-derived versus surgeon-performed instrumentation in adolescent idiopathic scoliosis: a biomechanical simulation analysis.

Spine deformity Jun 2, 2026

PURPOSE: Posterior spinal fusion (PSF) with pedicle screws is the standard treatment for adolescent idiopathic scoliosis (AIS) with curves > 45°, yet significant variability in instrumentation strategies persists. Current planning guidelines lack pat... read more

Genome-guided generative adversarial learning enables nanopore adaptive sequencing.

Nature communications Jun 2, 2026

Nanopore adaptive sequencing enables real-time target enrichment, yet current deep-learning methods require costly, sample-specific experimental training data. To address this, we developed GANBase, a genome-guided generative adversarial learning fra... read more

Artificial Intelligence Medical Compendium