Aplicaciones de la inteligencia artificial en la medicina y la imagenología médica

La medicina ha tenido un camino en paralelo con la tecnología durante las últimas décadas. El desarrollo de herramientas para la mejora del diagnóstico, pronóstico y tratamiento oportuno ha evolucionado el concepto de salud, la inteligencia artificial (IA) es ejemplo de ello. En esta revisión se abordan temas como la evolución de la historia de la IA por medio de los acontecimientos más importantes, además se presentan algunas aplicaciones de la IA dentro de la medicina asistencial, la educación, la investigación y la gestión médica. Así como novedosas aplicaciones de la IA en la imagenología y una pequeña visión del futuro de la IA como herramienta en la radiología

OARSI Clinical Trials Recommendations:Hand imaging in clinical trials in osteoarthritis

SummaryTremendous advances have occurred in our understanding of the pathogenesis of hand osteoarthritis (OA) and these are beginning to be applied to trials targeted at modification of the disease course. The purpose of this expert opinion, consensus driven exercise is to provide detail on how one might use and apply hand imaging assessments in disease modifying clinical trials. It includes information on acquisition methods/techniques (including guidance on positioning for radiography, sequence/protocol recommendations/hardware for MRI); commonly encountered problems (including positioning, hardware and coil failures, sequences artifacts); quality assurance/control procedures; measurement methods; measurement performance (reliability, responsiveness, validity); recommendations for trials; and research recommendations

OARSI Clinical Trials Recommendations:Knee imaging in clinical trials inosteoarthritis

SummarySignificant advances have occurred in our understanding of the pathogenesis of knee osteoarthritis (OA) and some recent trials have demonstrated the potential for modification of the disease course. The purpose of this expert opinion, consensus driven exercise is to provide detail on how one might use and apply knee imaging in knee OA trials. It includes information on acquisition methods/techniques (including guidance on positioning for radiography, sequence/protocol recommendations/hardware for magnetic resonance imaging (MRI)); commonly encountered problems (including positioning, hardware and coil failures, sequences artifacts); quality assurance (QA)/control procedures; measurement methods; measurement performance (reliability, responsiveness, validity); recommendations for trials; and research recommendations