Elevated brain pulsations in depression: insights from a pooled ultrasound cohort study.

Excessive brain tissue pulsations (BTP), measured by ultrasound, have been associated with depression and are hypothesized to contribute to brain damage in this population at risk for cerebrovascular lesions. However, previous research has been limited by small sample sizes. To address this issue, our study pooled data from three separate investigations, resulting in the largest cohort of depressed participants with BTP measurements to date.

Effectiveness, safety, and cost of combination advanced therapies in inflammatory bowel disease.

Background: A significant proportion of inflammatory bowel disease (IBD) patients fail to respond to advanced therapies. Combining advanced therapies may improve treatment outcome. This study aimed to assess the effectiveness, adverse events, and costs associated with combining advanced therapies in IBD patients.

Persistent brain metabolic impairment in long COVID patients with persistent clinical symptoms: a nine-month follow-up [F]FDG-PET study.

Purpose: A hypometabolic profile involving the limbic areas, brainstem and cerebellum has been identified in long COVID patients using [F]fluorodeoxyglucose (FDG)-PET. This study was conducted to evaluate possible recovery of brain metabolism during the follow-up of patients with prolonged symptoms.

Methods: Fifty-six adults with long COVID who underwent two brain [F]FDG-PET scans in our department between May 2020 and October 2022 were retrospectively analysed, and compared to 51 healthy subjects.

Human-artificial intelligence interaction in gastrointestinal endoscopy.

The number and variety of applications of artificial intelligence (AI) in gastrointestinal (GI) endoscopy is growing rapidly. New technologies based on machine learning (ML) and convolutional neural networks (CNNs) are at various stages of development and deployment to assist patients and endoscopists in preparing for endoscopic procedures, in detection, diagnosis and classification of pathology during endoscopy and in confirmation of key performance indicators. Platforms based on ML and CNNs require regulatory approval as medical devices.