FADOI | SCUOLA DI ECOGRAFIA 2024 – Bologna 28-30 Settembre 2024
XIII CORSO DI FORMAZIONE DI BASE
28-30 Settembre 2024
Bologna
UNAHOTELS Bologna San Lazzaro
Regolamento (UE) 2024/1689 del Parlamento europeo e del Consiglio, del 13 giugno 2024, che stabilisce regole armonizzate sull’intelligenza artificiale
Estratto: Lo scopo del presente regolamento è migliorare il funzionamento del mercato interno istituendo un quadro giuridico uniforme in particolare per quanto riguarda lo sviluppo, l’immissione sul mercato, la messa in servizio e l’uso di sistemi di intelligenza artificiale (sistemi di IA) nell’Unione, in conformità dei valori dell’Unione, promuovere la diffusione di un’intelligenza artificiale (IA) antropocentrica e affidabile, garantendo nel contempo un livello elevato di protezione della salute, della sicurezza e dei diritti fondamentali sanciti dalla Carta dei diritti fondamentali dell’Unione europea («Carta»), compresi la democrazia, lo Stato di diritto e la protezione dell’ambiente, proteggere contro gli effetti nocivi dei sistemi di IA nell’Unione, nonché promuovere l’innovazione. Il presente regolamento garantisce la libera circolazione transfrontaliera di beni e servizi basati sull’IA, impedendo così agli Stati membri di imporre restrizioni allo sviluppo, alla commercializzazione e all’uso di sistemi di IA, salvo espressa autorizzazione del presente regolamento.
Fonte:
Gazzetta ufficiale dell’Unione Europea
Pubblicato il 12.07.2024
A narrative review on the application of artificial intelligence in renal ultrasound
Authors: Tong Xu, Xian-Ya Zhang, Na Yang, Fan Jiang, Gong-Quan Chen, Xiao-Fang Pan, Yue-Xiang Peng and Xin-Wu Cui
Abstract: Kidney disease is a serious public health problem and various kidney diseases could progress to end-stage renal disease. The many complications of end-stage renal disease. have a significant impact on the physical and mental health of patients. Ultrasound can be the test of choice for evaluating the kidney and perirenal tissue as it is real-time, available and non-radioactive. To overcome substantial interobserver variability in renal ultrasound interpretation, artificial intelligence (AI) has the potential to be a new method to help radiologists make clinical decisions. This review introduces the applications of AI in renal ultrasound, including automatic segmentation of the kidney, measurement of the renal volume, prediction of the kidney function, diagnosis of the kidney diseases. The advantages and disadvantages of the applications will also be presented clinicians to conduct research. Additionally, the challenges and future perspectives of AI are discussed.
Fonte:
Frontiers in Oncology 2023; 13: 1252630.
Published online 2024 Mar 1
DOI: 10.3389/fonc.2023.1252630
© 2024 Xu, Zhang, Yang, Jiang, Chen, Pan, Peng and Cui
Current Developments and Role of Intestinal Ultrasound including the Advent of AI
Authors: Gennaro Tagliamonte, Fabrizio Santagata, Mirella Fraquelli
Abstract: Intestinal ultrasound is a non-invasive, safe, and cost-effective technique to study the small and large intestines. In addition to conventional B-mode and color doppler imaging, new US tools have been developed in more recent years that provide auxiliary data on many GI conditions, improving the diagnosis and assessment of relevant outcomes. We have reviewed the more recent literature (from 2010 onwards) on auxiliary tools in bowel ultrasound such as elastography techniques, CEUS, SICUS, and the potential contribution by artificial intelligence (AI) to overcome current intestinal ultrasound limitations. For this scoping review, we performed an extensive literature search on PubMed and EMBASE to identify studies published until December 2023 and investigating the application of elastography techniques, CEUS, SICUS, and AI in the ultrasonographic assessment of the small and large intestines. Multiparametric intestinal ultrasound shows promising capabilities in Crohn’s disease, while less is known about the role in ulcerative colitis. Despite some evidence, the CEUS role as a point-of-care examination tool for rare conditions such as intestinal GvHD and ischemic small bowel disease seems promising, possibly avoiding the need to perform further cross-sectional imaging. The use of AI in intestinal ultrasound is still anecdotical and limited to acute appendicitis.
Fonte:
Diagnostics (Basel). 2024 Apr 3;14(7):759.
DOI: 10.3390/diagnostics14070759
© 2024 by the authors. Licensee MDPI, Basel, Switzerland.
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