The field of artificial intelligence (AI) has evolved considerably in the last 60 years. While
there are now many AI applications that have been deployed in high-income country …

Abstract Machine learning and deep learning are two subsets of artificial intelligence that
involve teaching computers to learn and make decisions from any sort of data. Most recent …

Objective Medical students, as clinicians and healthcare leaders of the future, are key
stakeholders in the clinical roll-out of artificial intelligence-driven technologies. The authors …

Fuzzy Logic in Action: Applications in Epidemiology and Beyond, co-authored by Eduardo
Massad, Neli Ortega, Laécio Barros, and Cláudio Struchiner is a remarkable achievement …

Abstract Background or Purpose: Pancreatic ductal adenocarcinoma (PDAC) is a leading
cause of mortality in the world with the overall 5-year survival rate of 6%. The survival of …

Artificial Intelligence (AI) applications in medicine have grown considerably in recent years.
AI in the forms of Machine Learning, Natural Language Processing, Expert Systems …

Materials and Methods: A questionnaire was given to Iranian neonatologists and the more
important factors were identified based on their answers. Then, a computing model was …

This review critically analyzes how machine learning is being used to support clinical
decision-making in the management of potentially resectable pancreatic cancer. Following …

Background Finding a valid diagnosis is mostly a prolonged process. Current advances in
the sector of artificial intelligence have led to the appearance of expert systems that enrich …

O objetivo do trabalho foi desenvolver um sistema de apoio à avaliação da poluição sonora,
aplicado na zona central de Rio Claro, São Paulo, Brasil. Para isso, dados foram obtidos …