AI Medical Compendium

Mapping the AI life sciences landscape in Greece: a bibliometric comparison with global patterns.

Scientific reports Jun 3, 2026

Artificial intelligence is increasingly used in Life Sciences, though the pace and direction of adoption varies widely across countries. To map the Greek landscape, we performed a data‑driven analysis of 916,824 AI-related life-science papers harvest... read more

Machine learning-optimized composting strategies can enhance nutrient recycling and transform food system waste into a net carbon sink.

Nature food Jun 3, 2026

Composting organic waste offers a circular solution to recycle nutrients and restore soil health, but nitrogen (N) and carbon (C) losses during the process undermine its agricultural and climate benefits. Here, using a machine learning approach, we a... read more

Dual swin transformer for assisting in the diagnosis and surgical prediction of necrotizing enterocolitis.

Pediatric research Jun 3, 2026

BACKGROUND: The diagnosis and surgical prediction of necrotizing enterocolitis (NEC) remain challenging. Our goal is to develop an interpretable multimodal artificial intelligence model to assist these key clinical decisions. METHODS: This retrospect... read more

In situ mechanical characterization of functional and architected materials.

Nature materials Jun 3, 2026

Recent advances in instrumentation have sparked a transformative journey in materials science, providing insights into the intricate relationship between processing, structure and properties. Among them, cutting-edge in situ micro- and nanoscale mech... read more

Deep learning-based cross-modal MR-CT registration for brain metastases radiotherapy with multi-scale feature refinement and brainstem guidance.

Scientific reports Jun 3, 2026

Accurate multimodal deformable registration between magnetic resonance (MR) and computed tomography (CT) images is essential for precise target delineation in brain metastases radiotherapy. However, substantial modality discrepancies and complex anat... read more

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

Artificial Intelligence Medical Compendium