Artificial intelligence in rheumatology research: what is it good for?

Artificial intelligence (AI) is transforming rheumatology research, with a myriad of studies aiming to improve diagnosis, prognosis and treatment prediction, while also showing potential capability to optimise the research workflow, improve drug discovery and clinical trials. Machine learning, a key element of discriminative AI, has demonstrated the ability of accurately classifying rheumatic diseases and predicting therapeutic outcomes by using diverse data types, including structured databases, imaging and text. In parallel, generative AI, driven by large language models, is becoming a powerful tool for optimising the research workflow by supporting with content generation, literature review automation and clinical decision support.

Unveiling the importance of the endoscope in the sealing of the superior canal dehiscence syndrome, how we do it.

The superior canal dehiscence syndrome is a pathology that affects the arcuate eminence creating a "third window" between the inner ear and the middle fossa. This condition can lead to symptoms such as hearing loss, autophony, or sound-induced vertigo. Traditionally, surgical treatment has been performed by microscope-assisted temporal craniotomy, but when the dehiscence is in the medial part of the arcuate eminence the bone defect may not be seen.

Analysis of selective screening for congenital cytomegalovirus in a secondary hospital: Problems and solutions.

Universal hearing screening offers unique possibilities for detection of congenital deafness as a consequence of congenital cytomegalovirus (CMVc) infection, so its selective study in the case of a failed test could be a non-negligible screening opportunity while other guidelines covering the possibility of universal screening are adopted. The aim of this study is to analyse the possibility of selective screening for CMVc after an altered hearing test in a regional hospital. During the period studied, the results obtained were unsatisfactory, especially in children born outside the hospital of residence, showing an excessive delay in hearing screening in many cases and in the few cases where CMVc screening could be performed, only 30% had the test ordered in a timely manner.

Neonatal Hearing Rescreening in a Second-Level Hospital: Problems and Solutions.

Second-level hospitals face peculiarities that make it difficult to implement hearing rescreening protocols, which is also common in other settings. This study analyzes the hearing rescreening process in these kinds of hospitals. A total of 1130 individuals were included; in this cohort, 61.