ABSTRACT
The integration of artificial intelligence (AI) technology within the health industry is increasing. This educational piece discusses the implementation of AI and its impact on sonography. The authors investigate how AI may influence the profession and provide examples of how ultrasound imaging may be enhanced and innovated by integrating AI technology. This article highlights challenges related to the application of AI and provides insight into how they could be addressed. The critical distinction between the role of a sonographer and the reporting specialist in the context of AI is highlighted as a key issue for those developing, researching, and evaluating AI systems. A key recommendation is for the sonography community to address ultrasound education, particularly how AI knowledge could be incorporated into university education. This is an important consideration that should be extended to practising professionals as they may be involved in evaluating the efficiency and methodologies used in new research that may incorporate AI technologies.
Subject(s)
Antineoplastic Agents/pharmacology , Neoplasms/drug therapy , Animals , Antineoplastic Agents/therapeutic use , Camptothecin/analogs & derivatives , Camptothecin/therapeutic use , Cell Cycle Proteins/antagonists & inhibitors , Clinical Trials as Topic , Humans , Irinotecan , Janus Kinase 2/antagonists & inhibitors , Phosphoinositide-3 Kinase Inhibitors , Protein Kinase C/antagonists & inhibitors , Protein Serine-Threonine Kinases/antagonists & inhibitorsSubject(s)
Antineoplastic Agents/pharmacology , Neoplasms/drug therapy , Animals , Antibodies/therapeutic use , Antineoplastic Agents/therapeutic use , Clinical Trials as Topic , HSP90 Heat-Shock Proteins/antagonists & inhibitors , Histone Deacetylase Inhibitors , Humans , Mitochondrial Proteins/antagonists & inhibitors , Receptor, Fibroblast Growth Factor, Type 1/antagonists & inhibitorsABSTRACT
Hepatitis C virus (HCV) genotype 1a and 3a partial NS5B gene segment sequences obtained from 154 HCV-infected injection drug users were studied to determine the extent to which HCV transmission occurs between injection drug user communities in London, Edinburgh, Glasgow (United Kingdom), Marseilles (France), and Melbourne. Phylogenetic relationships between sequences were analyzed by conventional methods and by a recently developed method that numerically scores the extent of sequence segregation between groups through calculation of association indices. The association indices revealed that none of the cities sampled support an HCV population that is completely isolated from that circulating in the other cities. Sequences from Melbourne were most isolated, whereas those from London were most dispersed. This suggests that HCV transmission between these cities occurs, with London playing a pivotal role. The degree of city-specific segregation of HCV subtype 1a sequences was linearly related to that of subtype 3a, indicating that these subtypes have spread through similar transmission networks.
