AI Medical Compendium

Gsformer: a dual-architecture deep learning framework with CNN-self-attention and sparse-attention for genomic selection.

Genetics, selection, evolution : GSE Jun 3, 2026

BACKGROUND: Genomic selection (GS) has revolutionized modern breeding by utilizing genome-wide single nucleotide polymorphisms (SNPs). While traditional models such as GBLUP and Bayesian approaches remain prevalent, several deep learning approaches h... read more

THC-net: an attention-based deep learning model for chromatin compartment prediction from histone modifications.

BMC bioinformatics Jun 3, 2026

BACKGROUND: The three-dimensional architecture of the genome plays a central role in fundamental biological processes. Chromatin compartmentalization into A compartments (active transcription domains) and B compartments (repressive chromatin domains)... read more

Guideline-based clinical reasoning in periodontology education: a comparative study of residents and large language models.

BMC medical education Jun 3, 2026

OBJECTIVE: In healthcare education, clinical practice guidelines play a central role in the development of clinical reasoning skills by providing structured, evidence-based decision-making frameworks. Successful management of peri-implantitis require... read more

Assessing pediatricians' readiness for artificial intelligence: a cross-sectional study in Istanbul, Türki̇ye.

BMC pediatrics Jun 3, 2026

BACKGROUND: Artificial intelligence (AI) is increasingly integrated into healthcare, including pediatrics, offering new opportunities for diagnosis, management, and decision support. However, the effective implementation of AI depends largely on heal... read more

Leveraging interpretable machine learning to identify sarcopenia in middle-aged and older adults with intrinsic capacity decline: an analysis of CHARLS data under AWGS 2025.

BMC medical informatics and decision making Jun 3, 2026

BACKGROUND: This study leverages machine learning to develop and validate an interpretable diagnostic model for sarcopenia, specifically tailored to community-dwelling middle-aged and older adults exhibiting intrinsic capacity decline. METHODS: This ... read more

Clinical learning experiences and artificial intelligence-related anxiety among midwifery students: a cross-sectional study.

BMC medical education Jun 3, 2026

BACKGROUND: Artificial intelligence (AI) is rapidly transforming healthcare practice and education, requiring students to adapt to technology-supported clinical environments. Although AI-related anxiety has been examined among nursing students, littl... read more

Accurate prediction of activity cliff compounds based on bioactivity profiles depends on assay nearest neighbor relationships.

Journal of cheminformatics Jun 3, 2026

The definition of activity cliffs (ACs) depends on compound similarity and activity difference criteria and on activity data types. ACs are usually defined as pairs or groups of structurally similar compounds or structural analogues that are active a... read more

Integrating multimodal features with deep learning for protein solubility prediction.

Journal of cheminformatics Jun 3, 2026

Protein solubility prediction holds significant importance in the fields of biotechnology and medicine. With the continual advancements of computational and experimental techniques such as protein design, enzyme mining, and directed evolution, accura... read more

Susceptibility of large language models to hidden nudge injection during simulated medical peer review: a quasi-experimental study.

Research integrity and peer review Jun 3, 2026

BACKGROUND: Generative artificial intelligence (AI) technologies might offer new possibilities for the peer review process; however, AI models' possible vulnerability to hidden nudges designed to elicit positive reviews raises concerns about manipula... read more

Interpretable machine learning for cattle breed classification and SNP prioritization.