AI Medical Compendium

Identification of Aspergillus at section and species levels by artificial intelligence-based microscopic morphology image recognition.

Journal of clinical microbiology Feb 27, 2026

Rapid and accurate identification of Aspergillus species in clinical microbiology laboratories is crucial for aspergillosis diagnosis and antifungal therapy. However, traditional methods still face challenges in distinguishing phylogenetically relate... read more

Automatic acromegaly detection using deep learning on hand images: a multicenter observational study.

The Journal of clinical endocrinology and metabolism Feb 27, 2026

CONTEXT: Acromegaly poses clinical challenges in terms of early diagnosis and intervention. Therefore, the development of novel diagnostic tools is essential. Although artificial intelligence (AI) models based on external appearance have been propose... read more

Artificial intelligence-assisted statistical analysis and statistical review: evidence (2023-2025) and implications for internal medicine.

Polish archives of internal medicine Feb 27, 2026

Clinical research published in internal medicine journals relies heavily on statistical analysis and quantitative inference, making the quality of statistical reporting and statistical peer review central to the credibility of this literature. Despit... read more

DNAwhisper: An Integrated Deep Learning Pyramidal Framework for Multi-Trait Genomic Prediction and Adaptive Marker Prioritisation.

Plant biotechnology journal Feb 27, 2026

Genomic selection (GS) is critical for accelerating genetic gain in modern plant breeding. Deep learning approaches offer powerful non-linear representation capabilities for modelling non-additive effects. However, their application in GS remains res... read more

Re-imagining discharge summary training through artificial intelligence.

Medical teacher Feb 27, 2026

What is the educational challenge? Discharge summary (DS) writing is a core competency for junior physicians, yet persistent deficiencies in the quality, accuracy, and timeliness of these clinical documents are well-documented, with downstream reperc... read more

NLP in Support of Pharmacovigilance: QUality Adverse Drug Reaction AcTIve Control (QUADRATIC).

Clinical pharmacology and therapeutics Feb 27, 2026

Adverse drug reactions (ADRs) are a major cause of morbidity, hospital admissions, and in-hospital mortality, yet remain incompletely captured by post-marketing pharmacovigilance, which suffers from underreporting. Electronic health records (EHRs) co... read more

Efficient Serum Metabolic Fingerprints for Ectopic Pregnancy Diagnosis and Rupture Risk Prediction.

Small methods Feb 27, 2026

Ectopic pregnancy (EP) is a leading cause of maternal morbidity and mortality in early pregnancy. Current diagnostic approaches, which rely on ultrasound scanning and blood measurements, are limited by low detection sensitivity. Herein, we propose a ... read more

Machine Learning-Informed Nano Co-Assembly Inhibits Fibroblast Activation Protein and Improves Drug Delivery in Fibrotic Tissue.

Advanced materials (Deerfield Beach, Fla.) Feb 27, 2026

Nanoparticle-based drug delivery faces persistent challenges, including complex fabrication processes and limited lesional accumulation. Here we introduce SP-13786 (SP), a precise small-molecule inhibitor of fibroblast activation protein (FAP), as a ... read more

Biomimetic Electrochemical Chip Integrated with Closed-Loop AI for Dynamic Dopamine Decoding and Neuromodulation.

ACS sensors Feb 27, 2026

Bioelectronic systems integrated with artificial intelligence (AI) are transforming neurochemical diagnostics, enabling intelligent, real-time decoding of brain chemistry. Here, we present an AI-driven biomimetic electrochemical chip with intestine-i... read more

Artificial intelligence in urology training: practical benefits and real-world limits.

BJU international Feb 27, 2026

Artificial Intelligence Medical Compendium