Year: 2021
Type: article
Abstract: data without forgetting issues of privacy and anonymization.Of great importance are also new methodologies able to analyze texts and extract information automatically, thus allowing the integration of information of different nature and type, but also techniques usefull to manage uncertainty and lack of data, a phenomenon very often present in this domain.In this talk we focus on the recent trends and successes of artificial intelligence in the medical field, with practical examples in which artificial intelligence supports physicians in their work, without forgetting current and future challenges and opportunities, at scientific, application, business but also regulatory level, in an increasingly hybrid world where humans and artificial intelligence will increasingly interact to improve the quality of life and well-being of people.
Source: Hematological Oncology
DOI: 10.1002/hon.9_2879
Author: D.A Landau
Institutions: New York Genome Center, Weill Cornell Medicine
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W3175609708