Stephanie Novoa-Sanzana, José Moya-Osorio, Yadira Morejón Terán, Israel Ríos-Castillo, Luis Miguel Becerra Granados, Gloria Prada Gómez, Mónica Ramos de Ixtacuy, Roxana Carla Fernández Condori, María Celeste Nessier, Ana Guerrero Gómez, Laura González-Céspedes, Edna J Nava-González, Luisa Pérez Ocampo, Adriana Nathaly Castillo-Albarracín, Samuel Durán-Agüero
Food insecurity and sociodemographic factors in Latin America during the COVID-19 pandemic
Revista panamericana de salud publica = Pan American journal of public health
despite substantial progress ai research healthcare translating research achievements ai systems clinical settings challenging many cases unsatisfactory result many ai investments stalled prototype level never reaching clinical settings improve chances future ai implementation projects succeeding analyzed experiences clinical ai system implementers better understand challenges success factors implementations thirtyseven implementers clinical ai european north south american countries interviewed semistructured interviews transcribed analyzed qualitatively framework method identifying success factors reasons challenges well documenting proposals implementers improve ai adoption clinical settings gathered implementers requirements facilitating ai adoption clinical setting main findings include 1 lesser importance ai explainability favor proper clinical validation studies 2 need actively involve clinical practitioners clinical researchers inception ai research projects 3 need better information structures processes manage data access ethical approval ai projects 4 need better support regulatory compliance avoidance duplications data management approval bodies 5 need increase clinicians citizens literacy respects benefits limitations ai 6 need better funding schemes support implementation embedding validation ai clinical workflow beyond pilots participants interviews positive future ai clinical settings time proposenumerous measures transfer research advancesinto implementations benefit healthcare personnel transferring ai research benefits healthcare workers patients requires adjustments regulations data access procedures education funding schemes validation ai systems