AI Medical Compendium

Breast cancer survival prediction using machine learning and multimodal data for personalized care plan.

BMC cancer Jun 1, 2026

This paper presents a time-stratified breast cancer survival analysis that incorporates tumor characteristics, disease stage, and patient features, using machine learning (ML) algorithms to support personalized care planning. Considering nonlinear re... read more

Performance comparison of a neuro-symbolic large language model system versus conventional AI models and human experts in cholangitis management.

BMC medical informatics and decision making Jun 1, 2026

BACKGROUND: Large language models (LLMs) have shown promising results in medical decision support; Background: Large language models (LLMs) have demonstrated promising outcomes in medical decision support; however, their efficacy in managing complex ... read more

Employee perceptions of AI adoption across service domains in a Finnish public health and social care organization: a cross-sectional mixed-methods study.

BMC health services research Jun 1, 2026

BACKGROUND: Empirical evidence on how employees across different service domains within a single multi-sector public organization perceive AI adoption is limited. This study, therefore, examined differences in self-reported AI usage, perceived compet... read more

Comparative analysis of generative pre-trained transformers for text- and image-based cephalometric prompts using a novel Artificial Intelligence Based Diagnosis and Treatment Planning Index (AIDTI).

BMC medical informatics and decision making Jun 1, 2026

INTRODUCTION: The aim of this study was to compare the response capabilities of generative pre-trained transformers (GPTs) for identical lateral cephalograms (LCs) based on text- and image-based prompts, using the newly developed Artificial Intellige... read more

Deep learning-based neuroanatomical profiling reveals population-specific brain changes in multiple sclerosis: a large-scale Middle Eastern study.

BMC medical imaging Jun 1, 2026

BACKGROUND: Multiple sclerosis (MS) affects 2.8 million individuals worldwide, with Middle Eastern populations remaining underrepresented in neuroimaging research despite elevated regional prevalence rates. Large-scale comparative studies between MS ... read more

Predicting adolescent suicidal tendency in Chinese secondary school students: a machine learning approach with XGBoost and SHAP interpretation.

BMC public health Jun 1, 2026

BACKGROUND: Adolescent suicide is a critical public health issue globally. Early detection of suicidal tendency remains challenging due to its concealed and multidimensional nature. This study aimed to develop and validate an interpretable machine le... read more

A two-step deep learning framework for predicting difficult video laryngoscopy from ultrasound images: a prospective cohort study.

BMC anesthesiology Jun 1, 2026

BACKGROUND: Deep learning integrated with ultrasound systems may assist in predicting difficult airway, a life-threatening complication in anesthesia. The study aimed to assess the feasibility of AI-based ultrasound for predicting difficult video lar... read more

Construction of liver organoid models by hepatobiliary differentiation from human induced pluripotent stem cells: state of the art, challenges and improving strategies.

Stem cell research & therapy Jun 1, 2026

Physiologically relevant liver models are essential for advancing hepatic disorder research, especially for disease modeling and drug development, yet current in vitro systems fail to adequately recapitulate the architecture and function of the liver... read more

From traditional classroom to AI-enhanced flipped classroom: a three-year pedagogical evolution for international students in pharmacology.

BMC medical education Jun 1, 2026

BACKGROUND: Pharmacology education faces challenges in developing higher-order thinking, especially for international students to overcome cross-cultural barriers. While flipped classrooms enhance interaction, their learning optimization remains unce... read more

BioGAP-Ultra: A Modular Edge-AI Platform for Wearable Multimodal Biosignal Acquisition and Processing.

IEEE transactions on biomedical circuits and systems Jun 1, 2026

The growing demand for continuous physiological monitoring and human-machine interaction in real-world settings calls for wearable platforms that are flexible, low-power, and capable of on-device intelligence. This work presents BioGAP-Ultra, an adva... read more

Artificial Intelligence Medical Compendium