DEVELOPMENT AND EXTERNAL VALIDATION OF AN ARTIFICIAL INTELLIGENCE-BASED METHOD FOR SCALABLE CHEST RADIOGRAPH DIAGNOSIS: A MULTI-COUNTRY CROSS-SECTIONAL STUDY

Problem: Chest radiography is a crucial tool for diagnosing thoracic disorders, but interpretation errors and a lack of qualified practitioners can cause delays in treatment.Aim: This study aimed to develop a reliable multi-classification artificial intelligence (AI) tool to improve the accuracy and efficiency of chest radiograph diagnosis.Methods:

Purpose: The article studies how the shutdown of campuses and subsequent change to online course delivery during the coronavirus disease 2019 (COVID-19) pandemic have changed the experience of organisational space in management education.Design/methodology/approach: The study utilises a mixed methods approach to data collection and analysis with qu

Despite normative predictions from economics and biology, unrelated strangers will often develop the trust necessary to reap gains from one-shot economic exchange opportunities.This appears to be especially true when declared intentions and emotions can be cheaply communicated.Perhaps even more puzzling to economists and biologists is the observati

The current electricity demand is increasing, and now the government has involved third parties in the implementation of electricity so that investors compete in building infrastructure in order to apply electricity.Thermal power is one source that has a fast break event point compared to other resources that more interested investors even with all