The integration of human and artificial intelligence (AI) in medicine has only recently begun but it has already become obvious that intelligent systems can dramatically improve the management of liver diseases. Big data made it possible to envisage transformative developments of the use of AI for diagnosing, predicting prognosis and treating liver diseases, but there is still a lot of work to do. If we want to achieve the 21st century digital revolution, there is an urgent need for specific national and international rules, and to adhere to bioethical parameters when collecting data. Avoiding misleading results is essential for the effective use of AI. A crucial question is whether it is possible to sustain, technically and morally, the process of integration between man and machine. We present a systematic review on the applications of AI to hepatology, highlighting the current challenges and crucial issues related to the use of such technologies.
The application of artificial intelligence in hepatology: A systematic review / Balsano, C.; Alisi, A.; Brunetto, M. R.; Invernizzi, P.; Burra, P.; Piscaglia, F.; Alvaro, D.; Bonino, F.; Carbone, M.; Faita, F.; Gerussi, A.; Persico, M.; Santini, S. J.; Zanetto, A.. - In: DIGESTIVE AND LIVER DISEASE. - ISSN 1590-8658. - (2022). [10.1016/j.dld.2021.06.011]
The application of artificial intelligence in hepatology: A systematic review
Balsano C.;Alisi A.;Alvaro D.;Bonino F.;
2022
Abstract
The integration of human and artificial intelligence (AI) in medicine has only recently begun but it has already become obvious that intelligent systems can dramatically improve the management of liver diseases. Big data made it possible to envisage transformative developments of the use of AI for diagnosing, predicting prognosis and treating liver diseases, but there is still a lot of work to do. If we want to achieve the 21st century digital revolution, there is an urgent need for specific national and international rules, and to adhere to bioethical parameters when collecting data. Avoiding misleading results is essential for the effective use of AI. A crucial question is whether it is possible to sustain, technically and morally, the process of integration between man and machine. We present a systematic review on the applications of AI to hepatology, highlighting the current challenges and crucial issues related to the use of such technologies.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
