AI Medical Compendium

Quantum-logical modeling of bioinformatics of inheritance of algorithmic biostructures based on unitary operators and their cyclic groups.

Bio Systems Apr 30, 2026

The article is devoted to topical issues of genetic biomechanics, which studies structural connections between molecular-genetic informatics and inherited physiological complexes. It is known that amino acid sequences of proteins are genetically inhe... read more

What "Human-in-the-Loop" Means in the Artificial Intelligence Era of Health Economics and Outcomes Research.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Apr 30, 2026

A Hybrid System Integrating Deep Learning and Computer Vision for Automated Blink Monitoring and Tear Film Break-Up Pattern Classification.

The ocular surface Apr 30, 2026

PURPOSE: To construct and validate a hybrid system integrating deep learning and computer vision for real-time blink monitoring, tear film Break-Up Patterns (BUPs) classification, and Dry Eye (DE) subtype diagnosis and treatment recommendation. METHO... read more

Evaluation of AI-enhanced FTIR spectroscopy for species and biovar typing of intracellular pathogenic Brucella spp.

BMC microbiology Apr 30, 2026

BACKGROUND: Rapid and accurate identification of intracellular pathogenic Brucella species and biovars is essential for effective public health surveillance, outbreak control, and preservation of animal and human health. While traditional biotyping r... read more

Rational use of expensive medicines in the Netherlands: strategies to improve effectiveness and reduce burden on patients and society - a narrative review.

BMC medicine Apr 30, 2026

BACKGROUND: While new expensive medicines often offer substantial benefits to patients, they can carry inherent drawbacks such as uncertainty regarding efficacy translating into effectiveness, safety and rational use, as well as a substantial financi... read more

Empowering atrial fibrillation detection with TabPFN and SHAP interpretation based on ECG-derived features: a dual-center temporal validation study.

BMC cardiovascular disorders Apr 30, 2026

Atrial fibrillation (AF) remains a leading driver of stroke and heart failure, yet timely diagnosis is frequently hindered by its asymptomatic nature and the limitations of current screening methods. This study aimed to develop and validate a highly ... read more

Fluoroscopic image-driven deep learning model for predicting intussusception irreducibility during air enema in children.

BMC medical imaging Apr 30, 2026

BACKGROUND: Accurate identification of irreducible intussusception during air enema is crucial for optimizing enema strategies. Current methods are limited by subjective interpretation and inconsistent clinical criteria. We developed a deep learning ... read more

Explainable prediction of MDR/RR-TB in tuberculosis-diabetes mellitus multimorbidity: a machine learning model developed and validated in a dual-center study.

BMC infectious diseases Apr 30, 2026

BACKGROUND: Tuberculosis-diabetes mellitus (TB-DM) multimorbidity significantly increases the risk of multidrug-resistant/rifampicin-resistant tuberculosis (MDR/RR-TB). Early risk stratification tools for this high-risk population remain lacking. OBJ... read more

Evaluating large language models for orthodontic consultation in patients with periodontitis: a study of reliability, quality, and readability.

BMC oral health Apr 30, 2026

BACKGROUND: This study aimed to evaluate and compare the performance of five publicly accessible large language models (LLMs)-based chatbots, ChatGPT-4o, DeepSeek-V3, Claude-Sonnet-4, Gemini-2.0 Flash, and Grok-3, in addressing inquiries from patient... read more

Perspectives from healthcare providers and decision-makers on strategies toward a future hospital: qualitative insights from a group modelling process.

BMC health services research Apr 30, 2026

AIM: Planning for a hospital is a complex and dynamic process, traditionally not informed by evidence. A systems thinking approach can be useful in informing hospital planning decisions. We derived insights from hospital executives and clinicians reg... read more

Artificial Intelligence Medical Compendium