[Artificial intelligence and innovation to optimize the tuberculosis diagnostic process].

We describe the importance of artificial intelligence as a strategy to address tuberculosis control, particularly by providing timely diagnosis. Besides technological factors, the role of socio-technical, cultural and organizational factors is emphasized. The eRx tool involving deep learning algorithms and specifically the use of convolutional neural networks is presented as a case study. eRx is a promising artificial intelligence-based tool for the diagnosis of tuberculosis; which comprises a variety of innovative techniques involving remote X-ray analysis for suspected tuberculosis cases. Innovations based on artificial intelligence tools can optimize the diagnostic process for tuberculosis and other communicable diseases. PMID: 33295561 [PubMed - in process]
Source: Revista Peruana de Medicina de Experimental y Salud Publica - Category: International Medicine & Public Health Tags: Rev Peru Med Exp Salud Publica Source Type: research