Artificial Intelligence Medical Compendium

The Recurrent Hopfield Mass Model (RHoMM) is a novel generative model developed for the estimation of large-scale effective connectivity from magnetoencephalography (MEG) Band Limited Power signals. This binary mass model, compared to the other popul... read more 

Clinically, epilepsy manifests as a chronic condition marked by unprovoked, recurrent seizures, plaguing over 70 million individuals with debilitating seizures and life-threatening complications. Approximately 30% of patients with epilepsy do not res... read more 

Acute kidney injury (AKI) is a devastating complication of acute illness that affects adults and children across multiple settings worldwide and is associated with the development and progression of chronic kidney disease, increased mortality and inc... read more 

De novo protein design has seen major success in scaffolding single functional motifs; however, in nature, most proteins present multiple functional sites. Here, we describe an approach to simultaneously scaffold multiple functional sites in a single... read more 

Acute myeloid leukaemia (AML) is an aggressive haematological malignancy with an incidence that increases with age and varies widely across regions owing to differences in risk factors, diagnostic capabilities, recording in cancer registries and acce... read more 

BACKGROUND: Differentiating between potato common scab, powdery scab, and the physiological disorder of enlarged corky lenticels is challenging due to their similar visual symptoms. To address this, we propose YOLOv8-ST, an enhanced deep learning mod... read more 

With the prevalent use of artificial intelligence (AI) in human resource (HR) activities, the ability to forecast employee behavior is an asset to firms and researchers. This study develops and tests a predictive model of Organizational Citizenship B... read more 

The human microbiome, encompassing microbial communities in the gut and breast tissue, has emerged as a critical modulator of breast cancer (BC) initiation, progression, and treatment response. This review synthesizes current evidence on the microbio... read more 

BACKGROUND: Binary classification of sex fails to capture the sex-related continuum of atrial fibrillation (AF) risk. OBJECTIVE: This study aimed to develop an artificial intelligence (AI)-enabled electrocardiography (ECG) model for sex prediction an... read more 

OBJECTIVES: Electromyography (EMG) is increasingly applied in oncology to monitor neuromuscular impairment, treatment toxicities, and rehabilitation outcomes. However, reliance on maximal voluntary contraction (MVC) normalization limits scalability, ... read more