RESUMO
The application of artificial intelligence technologies is growing in several fields of healthcare settings. The aim of this article is to review the current applications of artificial intelligence in bariatric surgery. We performed a review of the literature on Scopus, PubMed and Cochrane databases, screening all relevant studies published until September 2021, and finally including 36 articles. The use of machine learning algorithms in bariatric surgery is explored in all steps of the clinical pathway, from presurgical risk-assessment and intraoperative management to complications and outcomes prediction. The models showed remarkable results helping physicians in the decision-making process, thus improving the quality of care, and contributing to precision medicine. Several legal and ethical hurdles should be overcome before these methods can be used in common practice.
Assuntos
Cirurgia Bariátrica , Obesidade Mórbida , Algoritmos , Inteligência Artificial , Humanos , Aprendizado de Máquina , Obesidade Mórbida/cirurgiaRESUMO
Reversible Cerebral Vasoconstriction Syndrome (RCVS) and Posterior Reversible Encephalopathy Syndrome (PRES) are two rare neurological conditions, clinically characterized by headache. In our case a diagnosis of PDPH was made though imaging showed signs of RCVS-PRES. We present a case of RCVS-PRES in a postpartum woman who presented headache as first symptom and only later experienced seizures. Dural puncture worked as a confounding factor in the clinical postpartum evaluation. We want to focus the attention on changes of clinical characteristics of headache as an important factor to be analysed, in order to have a prompt diagnosis. We therefore propose a diagnostic algorithm. Moreover, we evaluate possible triggers of RCVS and PRES; in our case dural puncture is probably not the trigger, in fact there were no liquoral hypotension signs on imaging.