WHO and ITU establish benchmarking process for artificial intelligence in health
2019; Elsevier BV; Volume: 394; Issue: 10192 Linguagem: Inglês
10.1016/s0140-6736(19)30762-7
ISSN1474-547X
AutoresThomas Wiegand, Ramesh Krishnamurthy, Monique M. Kuglitsch, Naomi Lee, Sameer Pujari, Marcel Salathé, Markus Wenzel, Shan Xu,
Tópico(s)Autopsy Techniques and Outcomes
ResumoGrowing populations, demographic changes, and a shortage of health practitioners have placed pressures on the health-care sector. In parallel, increasing amounts of digital health data and information have become available. Artificial intelligence (AI) models that learn from these large datasets are in development and have the potential to assist with pattern recognition and classification problems in medicine—for example, early detection, diagnosis, and medical decision making. 1 Topol E High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019; 25: 44-56 Crossref PubMed Scopus (1762) Google Scholar , 2 Wahl B Cossy-Gantner A Germann S Schwalbe N Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings?. BMJ Glob Health. 2018; 3: e000798 Crossref PubMed Scopus (185) Google Scholar These advances promise to improve health care for patients and provide much-needed support for medical practitioners.
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