AI Medical Compendium

Development and external validation of the HCH and HPMS prognostic indices for sepsis: a retrospective model development study using a Multi-Objective Non-Newtonian Fluid optimization algorithm.

BMC medical informatics and decision making Jun 2, 2026

BACKGROUND: The pathological heterogeneity of sepsis makes it challenging for traditional scoring systems to balance early-warning sensitivity, dynamic progression characterization, and mechanistic interpretability. Developing a multi-objective optim... read more

Insights into middle-aged men (40-70) who died by suicide: a nationwide mixed methods study in the Netherlands.

BMC public health Jun 2, 2026

BACKGROUND: Globally, middle-aged men dominate suicide statistics in many regions. To understand their heightened vulnerability, we examine the interplay between sociodemographic factors, contextualized through psychosocial perspectives. METHODS: Dat... read more

Endothelial activation and stress index associated with in-hospital mortality risk in patients with end-stage renal disease: a retrospective analysis based on the MIMIC database and machine learning model development.

BMC nephrology Jun 2, 2026

BACKGROUND: End-stage renal disease (ESRD) is a severe chronic renal disorder with high mortality, requiring dialysis treatment or kidney transplantation. The endothelial activation and stress index (EASIX), reflecting inflammatory status and endothe... read more

A forensic evaluation method of stable diffusion-generated images using feature-based likelihood ratio by deep learning features.

Journal of forensic sciences Jun 2, 2026

With the increasing realism of artificial intelligence (AI)-generated images from Stable Diffusion and similar models, forensic practitioners face significant challenges in image authenticity verification. This study proposes a feature-based likeliho... read more

Quantitative study on the discriminative value of fingerprint minutiae.

Journal of forensic sciences Jun 2, 2026

Traditional fingerprint identification primarily relies on the number of matching minutiae between the questioned and reference prints, where identity is determined by whether the match count exceeds a fixed threshold. However, this "minimum matching... read more

Application of artificial intelligence-generated clinical cases in case-based learning of histology and embryology.

Anatomical sciences education Jun 2, 2026

To investigate the effectiveness of a case-based learning (CBL) approach in histology and embryology, integrating instructor-reviewed, AI-assisted clinical cases within a Structure-Function-Clinical (SFC) framework. Undergraduate students from Hangzh... read more

Assessment of the accuracy of automated tooth segmentation using different orthodontic platforms and models with a large-scale clinical applicability.

European journal of orthodontics Jun 2, 2026

BACKGROUND/OBJECTIVES: Tooth segmentation remains the most time-consuming task during model preparation for digital orthodontic setup. This study aimed to assess the accuracy of AI-based tooth segmentation tools of four widely used orthodontic platfo... read more

Leveraging large language models in patient-reported outcome measure development: practical opportunities, cautions, and a human-in-the-loop roadmap.

Journal of patient-reported outcomes Jun 2, 2026

BACKGROUND: Patient-reported outcome (PRO) measure development involves multiple language-intensive stages, including conceptual domain definition, candidate item generation, qualitative refinement, and cognitive interviewing prior to psychometric ev... read more

Multiplex Proteomics of Lewy Body Dementia Reveals Cerebrospinal Fluid Biomarkers of Clinical and Neuropathological Heterogeneity

bioRxiv Jun 2, 2026

Lewy body dementia (LBD), which encompasses Parkinson's disease dementia (PDD) and Dementia with Lewy bodies (DLB), lacks established biofluid markers of its complex clinical and neuropathological heterogeneity. Multiplex proteomic tools, such as the... read more

systems biology

Vermeer: Autoregressive generative modeling of microscopy predicts protein localization