Explainable AI in Digestive Healthcare and Gastrointestinal Endoscopy.

An important impediment to the incorporation of artificial intelligence-based tools into healthcare is their association with so-called black box medicine, a concept arising due to their complexity and the difficulties in understanding how they reach a decision. This situation may compromise the clinician's trust in these tools, should any errors occur, and the inability to explain how decisions are reached may affect their relationship with patients. Explainable AI (XAI) aims to overcome this limitation by facilitating a better understanding of how AI models reach their conclusions for users, thereby enhancing trust in the decisions reached.

Omics-Based Comparison of Fungal Virulence Genes, Biosynthetic Gene Clusters, and Small Molecules in and .

is a ubiquitous pathogenic fungus that causes blue mold decay of apple fruit postharvest, and another member of the genus, , is a well-studied saprophyte valued for antibiotic and small molecule production. While these two fungi have been investigated individually, a recent discovery revealed that can block mediated decay of apple fruit. To shed light on this observation, we conducted a comparative genomic, transcriptomic, and metabolomic study of two (404 and 413) and two (Pe21 and R19) isolates.

Allergic Rhinitis and its Impact on Asthma (ARIA) Classes in MASK-air Users.

Background And Objectives: The Allergic Rhinitis and its Impact on Asthma (ARIA) guidelines classify rhinitis as "intermittent" or "persistent" and "mild" or "moderate-severe". To assess ARIA classes in a real-world study in terms of phenotypic differences and their association with asthma.

Methods: We performed a cross-sectional real-world study based on users of the MASK-air® app who reported data for at least 3 different months.

Impact of ultrasound settings on lung vertical artefacts: an observational study in mechanically ventilated patients.

Introduction: The number of vertical artefacts (VAs) in lung ultrasound (LUS) impacts patients' clinical management. This study aimed to demonstrate the influence of ultrasound settings on the number of VAs in patients under invasive mechanical ventilation (IMV).

Methods: Patients under IMV were recruited for LUS, including three breathing cycles with a motionless curvilinear probe on the thoracic region with the most VAs.

Brazil's response to public health emergencies in 2023: lessons for the international community.

Objective: To describe the Brazilian experience of responding to public health emergencies in 2023, the organizational structure, and epidemiological characteristics.

Methods: Three emergencies (case studies) that occurred during the study year were analyzed according to the actions implemented during the response and the impacts on the population. The public health emergencies were summarized and analyzed through research on official documents and websites of the Ministry of Health and local health authorities.