Artificial Intelligence Medical Compendium

With the increasing use of generative artificial intelligence by patients, discrepancies in discussion can arise during the patient-physician clinic visit. This paper seeks to address practical guidelines for responding during a clinical encounter in... read more 

Long COVID, or post-acute sequelae of COVID-19 (PASC), is a major global health problem, with cumulative estimates suggesting that around 400 million people worldwide have been affected. It is characterized by persistent or new symptoms such as fatig... read more 

BACKGROUND: Current methods of intracranial aneurysm rupture risk assessment in the clinical setting depend on user measurements of morphological factors. Recently, machine learning (ML) has been proposed to assist in stratification of aneurysmal rup... read more 

Vaccination is an effective approach that saves the lives of millions of people. Computer tools and technologies have recently helped design novel, safe, effective, and fastest vaccines. Among these tools and technologies, artificial intelligence (AI... read more 

AIM: To assess the value of quantitative EEG (qEEG) as a diagnostic and prognostic biomarker in infants with abusive head trauma (AHT). Despite its central role in monitoring encephalopathy, EEG remains underused in multimodal evaluations, and its qu... read more 

The tumor immune microenvironment (TIME) critically impacts cancer progression and immunotherapy response. Multiplex immunofluorescence (mIF) is a powerful imaging modality for deciphering TIME, but its applicability is limited by high cost and low t... read more 

Chemical-induced neurotoxicity poses a challenge for safety assessment due to the complexity of central nervous system responses and the limitations of conventional assays. We developed an adverse outcome pathway (AOP)-guided machine-learning framewo... read more 

Orthognathic surgery is performed to correct dentoskeletal deformities and restore maxillomandibular symmetry. These changes may affect biometric identification and verification. The aim of this study was to assess the facial recognition capability o... read more 

PURPOSE OF REVIEW: The application of mathematical algorithms for detecting lung abnormalities has been a challenge for decades. Occupational lung diseases, which often present as diffuse abnormalities, are primarily screened and diagnosed using ches... read more 

The soluble expression of the SARS-CoV-2 Receptor-Binding Domain (RBD) is fundamental for manufacturing protein-based countermeasures. Although E. coli is a favored host for rapid production, its utility is often constrained by the formation of insol... read more