Compartir
The Economics of Artificial Intelligence: Health Care Challenges (National Bureau of Economic Research Conference Report) (en Inglés)
Agrawal Ajay,Gans Joshua,Goldfarb Avi (Autor)
·
University Of Chicago Press
· Tapa Dura
The Economics of Artificial Intelligence: Health Care Challenges (National Bureau of Economic Research Conference Report) (en Inglés) - Agrawal Ajay,Gans Joshua,Goldfarb Avi
$ 113.62
$ 227.24
Ahorras: $ 113.61
Elige la lista en la que quieres agregar tu producto o crea una nueva lista
✓ Producto agregado correctamente a la lista de deseos.
Ir a Mis Listas
Origen: Estados Unidos
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Viernes 12 de Julio y el
Viernes 19 de Julio.
Lo recibirás en cualquier lugar de Internacional entre 1 y 3 días hábiles luego del envío.
Reseña del libro "The Economics of Artificial Intelligence: Health Care Challenges (National Bureau of Economic Research Conference Report) (en Inglés)"
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.