Artificial Intelligence Medical Compendium

OBJECTIVE: Endometriosis significantly impacts the quality of life (QoL) of affected women due to its complex symptomatology. This study aimed to develop a decision tree-based model to identify the key determinants influencing QoL in women with endom... read more 

BACKGROUND: This study aimed to develop and validate a hybrid deep learning (DL) model that integrates convolutional neural network (CNN) and vision transformer (ViT) architectures to predict distant metastasis (DM) in patients with non-small cell lu... read more 

WHAT WAS THE EDUCATION CHALLENGE?: Health professions education faces a critical challenge: the volume and complexity of medical knowledge has outpaced the cognitive limits of learners. Cognitive load theory indicates that traditional text-heavy inst... read more 

PURPOSE: The aim of this study was to develop a radiomic model to non-invasively predict the risk of secondary enucleation (SE) in patients with uveal melanoma (UM) prior to stereotactic radiotherapy using pretreatment computed tomography (CT) and ma... read more 

BACKGROUND: The integration of generative artificial intelligence (GAI) in research raises concerns about transparency, accountability, and task delegation. While frameworks such as CRediT and the NIST AI Use Taxonomy address contributions to researc... read more 

OBJECTIVES: To identify relevant objective variables for retrospective identification of 'suspected infection' and sepsis, using behavioural artificial intelligence technology (BAIT), and to explore the accuracy of this approach for sepsis surveillan... read more 

The integration of ultrasensitive smart human-machine interaction and well skin-like healing capabilities into the biomaterials-based dressing still remains great challenges. Herein, a sort of novel multifunctional lignocellulose dressing is proposed... read more 

BACKGROUND: Methotrexate (MTX) in the body can result in severe, potentially life-threatening side effects. As a result, it is imperative to establish a dependable, precise, and specific method for detecting MTX. However, conventional sensors often s... read more 

The computerization of medical records began in the early 1960s and progressed steadily until federal mandates in the early 2000s triggered rapid electronic health record (EHR) adoption. While technically successful, these systems lacked the cultural... read more 

Administrative tasks remain a leading contributor to physician burnout in primary care and hospital settings. Recent advancements in informatics infrastructure, including continued development and adoption of standards and interoperability, are helpi... read more