Artificial Intelligence Medical Compendium

BACKGROUND: Artificial intelligence is increasingly used for infectious disease surveillance, traveller risk assessment, outbreak forecasting and decision support. Travel creates a distinctive transportability problem because people move between epid... read more 

BACKGROUND: The recognition of affective states from EEG recordings considering the sleep condition can be an important supporting tool in therapy and in the treatment of psychological or psychiatric disorders. NEW METHOD: Since sleep deprivation cha... read more 

The choroid is a densely vascular layer that sustains the outer retina and may reflect systemic microvascular health. With the advent of new imaging techniques, choroidal imaging has become increasingly detailed, generating vast data volumes. Convent... read more 

OBJECTIVE: Adverse events (AEs) resulting from medical interventions are significant contributors to patient morbidity, mortality, and healthcare costs. Detection of these events using electronic health records (EHRs) can facilitate timely clinical i... read more 

Type 1 diabetes mellitus (T1DM) is an autoimmune disease characterized by immune-mediated destruction of pancreatic β-cells, resulting in absolute insulin deficiency and lifelong dependence on exogenous insulin. This disease, if not treated, leads to... read more 

OBJECTIVE: To evaluate near-infrared (NIR) spectroscopy combined with machine learning (ML) for detecting and estimating inflammatory and matrix-related biomarkers released into the culture medium of an explant model. MATERIALS AND METHODS: Bovine os... read more 

Diatom-derived algal organic matter (AOM), including intracellular organic matter (IOM) and extracellular organic matter (EOM), is an important precursor of disinfection byproducts (DBPs) in drinking water sources during diatom blooms. Clarifying the... read more 

As a widely used anticancer prodrug, capecitabine (CAPT) is poorly removed by conventional treatment and may generate toxic transformation products and disinfection by-products (DBPs). This study systematically evaluated CAPT abatement by UV/peroxymo... read more 

OBJECTIVE: To determine whether a deep learning (DL) model trained on time-lapse videos predicts fertilization following short-term insemination more accurately than senior embryologists, particularly in morphologically difficult cases, to visualize ... read more 

INTRODUCTION: Malaria remains a major cause of illness and death in sub-Saharan Africa. In 2023, WHO reported more than 263 million cases and 597,000 deaths globally. Ghana records a substantial malaria burden, and the Ashanti Region is among the reg... read more