Artificial Intelligence Medical Compendium

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

Showing 64,851 to 64,860 of 231,605 articles

Evidence-Based Guidelines for Podcast Production and Use in Competency-Based Health Professions Education.

Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners Jan 13, 2026
BACKGROUND: Podcasts are a popular educational tool in health professions that appeal to learners for their accessibility and flexibility. Skeptics criticize podcasts for issues related to quality and credibility, despite established quality criteria... read more 

Artificial Intelligence in Pediatric Practice: Controversies, Policy, and Practical Pointers forNurse Practitioners.

Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners Jan 13, 2026
Artificial intelligence (AI) is rapidly transforming pediatric healthcare, yet many pediatric nurse practitioners lack adequate preparation for implementation. This article provides foundational AI literacy while examining urgent needs for comprehens... read more 

Performance across different versions of an artificial intelligence model for screen-reading of mammograms.

European radiology Jan 13, 2026
OBJECTIVES: Studies have reported promising results regarding artificial intelligence (AI) as a tool for improved mammographic screening interpretive performance. We analyzed AI malignancy risk scores from two versions of the same commercial AI model... read more 

Deep learning feature-based model on abdominal radiography outperforms experts for early necrotizing enterocolitis diagnosis in neonates.

European radiology Jan 13, 2026
OBJECTIVES: Plain abdominal radiography is a widely used imaging modality for diagnosing neonatal necrotizing enterocolitis (NEC), but the characteristic features of stage I NEC are often subtle, making early diagnosis challenging. This study explore... read more 

Deep learning-based automatic measurement of the femoral head ossification center in healthy Korean children: development of a novel radiographic growth chart.

European radiology Jan 13, 2026
OBJECTIVES: To develop and validate a deep learning (DL)-based algorithm for automated measurement of femoral head ossification center (FHOC) size and establish AI-derived growth charts. MATERIALS AND METHODS: This retrospective study included 1705 h... read more 

Artificial intelligence in radiology: safeguarding patients' rights in the digital era.

European radiology Jan 13, 2026
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Assessment of Generative AI Chatbots for Neonatal Diagnostic Reasoning: A Comparative Concordance and Diagnosis Acceptability Analysis.

Indian journal of pediatrics Jan 13, 2026
OBJECTIVES: To assess the concordance and diagnosis acceptability of differential diagnoses (DDs) generated by artificial intelligence (AI) chatbots compared to expert neonatology physicians. METHODS: Thirteen clinical cases from neonatology were dev... read more 

Web-based AI application for enhanced dental disease diagnosis using advanced object detection integrated with transformer-based attention mechanism.

Oral radiology Jan 13, 2026
BACKGROUND: The accurate and timely diagnosis of dental diseases is critical for effective treatment and improved patient outcomes. However, traditional methods of analyzing panoramic X-ray images rely heavily on the expertise of oral and maxillofaci... read more 

DNACSE: Enhancing Genomic LLMs with Contrastive Learning for DNA Barcode Identification.

Journal of chemical information and modeling Jan 13, 2026
DNA barcoding is a powerful tool for exploring biodiversity, and DNA language models have significantly facilitated its construction and identification. However, since DNA barcodes come from a specific region of mitochondrial DNA and there are struct... read more 

Better Inputs, Better Learning: A Peptide Embedding Tutorial for Proteomic Mass Spectrometry.

Journal of proteome research Jan 13, 2026
Mass spectrometry proteomics creates complex data representing the peptide/protein contents of biological samples. Various types of machine learning have been central to computational methods used to identify peptides from tandem mass spectra and num... read more 
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