AI Medical Compendium Journal:
BMC medical informatics and decision making

Showing 11 to 20 of 718 articles

Monitoring patient pathways at a secondary healthcare services through process mining via Fuzzy Miner.

BMC medical informatics and decision making
BACKGROUND: This study explored workflow pathways followed by patients seeking secondary healthcare services at a local hospital in a rural part of Turkey using process mining to improve hospital resource management.

Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach.

BMC medical informatics and decision making
INTRODUCTION: Cervical cancer, which includes squamous cell carcinoma and adenocarcinoma, is a leading cause of cancer-related deaths globally, particularly in low- and middle-income countries (LMICs). It is preventable through early screening, but i...

A deep learning model integrating domain-specific features for enhanced glaucoma diagnosis.

BMC medical informatics and decision making
Glaucoma is a group of serious eye diseases that can cause incurable blindness. Despite the critical need for early detection, over 60% of cases remain undiagnosed, especially in less developed regions. Glaucoma diagnosis is a costly task and some mo...

Enhancing responses from large language models with role-playing prompts: a comparative study on answering frequently asked questions about total knee arthroplasty.

BMC medical informatics and decision making
BACKGROUND: The application of artificial intelligence (AI) in medical education and patient interaction is rapidly growing. Large language models (LLMs) such as GPT-3.5, GPT-4, Google Gemini, and Claude 3 Opus have shown potential in providing relev...

Development of a machine learning prediction model for loss to follow-up in HIV care using routine electronic medical records in a low-resource setting.

BMC medical informatics and decision making
BACKGROUND: Despite the global commitment to ending AIDS by 2030, the loss of follow-up (LTFU) in HIV care remains a significant challenge. To address this issue, a data-driven clinical decision tool is crucial for identifying patients at greater ris...

Deep learning health space model for ordered responses.

BMC medical informatics and decision making
BACKGROUND: As personalized medicine becomes more prevalent, the objective measurement and visualization of an individual's health status are becoming increasingly crucial. However, as the dimensions of data collected from each individual increase, t...

A meta-analysis of the diagnostic test accuracy of artificial intelligence predicting emergency department dispositions.

BMC medical informatics and decision making
BACKGROUND: The rapid advancement of Artificial Intelligence (AI) has led to its widespread application across various domains, showing encouraging outcomes. Many studies have utilized AI to forecast emergency department (ED) disposition, aiming to f...

Development and application of an early prediction model for risk of bloodstream infection based on real-world study.

BMC medical informatics and decision making
BACKGROUND: Bloodstream Infection (BSI) is a severe systemic infectious disease that can lead to sepsis and Multiple Organ Dysfunction Syndrome (MODS), resulting in high mortality rates and posing a major public health burden globally. Early identifi...

Classification of lung cancer severity using gene expression data based on deep learning.

BMC medical informatics and decision making
Lung cancer is one of the most prevalent diseases affecting people and is a main factor in the rising death rate. Recently, Machine Learning (ML) and Deep Learning (DL) techniques have been utilized to detect and classify various types of cancer, inc...

Application of artificial intelligence medical imaging aided diagnosis system in the diagnosis of pulmonary nodules.

BMC medical informatics and decision making
The application of artificial intelligence (AI) technology has realized the transformation of people's production and lifestyle, and also promoted the rapid development of the medical field. At present, the application of intelligence in the medical ...