[HTML][HTML] Role of artificial intelligence applications in real-life clinical practice: systematic review
Background Artificial intelligence (AI) applications are growing at an unprecedented pace in
health care, including disease diagnosis, triage or screening, risk analysis, surgical …
health care, including disease diagnosis, triage or screening, risk analysis, surgical …
[HTML][HTML] Evaluation and mitigation of racial bias in clinical machine learning models: scoping review
Background Racial bias is a key concern regarding the development, validation, and
implementation of machine learning (ML) models in clinical settings. Despite the potential of …
implementation of machine learning (ML) models in clinical settings. Despite the potential of …
Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction
Deep learning (DL)-based predictive models from electronic health records (EHRs) deliver
impressive performance in many clinical tasks. Large training cohorts, however, are often …
impressive performance in many clinical tasks. Large training cohorts, however, are often …
Artificial intelligence and human workers interaction at team level: a conceptual assessment of the challenges and potential HRM strategies
Purpose This paper aims to specifically focus on the challenges that human resource
management (HRM) leaders and departments in contemporary organisations face due to …
management (HRM) leaders and departments in contemporary organisations face due to …
Augmenting medical diagnosis decisions? An investigation into physicians' decision-making process with artificial intelligence
Systems based on artificial intelligence (AI) increasingly support physicians in diagnostic
decisions. Compared with rule-based systems, however, these systems are less transparent …
decisions. Compared with rule-based systems, however, these systems are less transparent …
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies
F Cabitza, A Campagner - International Journal of Medical Informatics, 2021 - Elsevier
This editorial aims to contribute to the current debate about the quality of studies that apply
machine learning (ML) methodologies to medical data to extract value from them and …
machine learning (ML) methodologies to medical data to extract value from them and …
Algorithmic management: bright and dark sides, practical implications, and research opportunities
The US-based service company Uber offers platformbased transportation services in more
than 70 countries. To this end, the company manages a global network of around 3.5 million …
than 70 countries. To this end, the company manages a global network of around 3.5 million …
[HTML][HTML] Artificial intelligence for COVID-19: a systematic review
L Wang, Y Zhang, D Wang, X Tong, T Liu… - Frontiers in …, 2021 - frontiersin.org
Background: Recently, Coronavirus Disease 2019 (COVID-19), caused by severe acute
respiratory syndrome virus 2 (SARS-CoV-2), has affected more than 200 countries and lead …
respiratory syndrome virus 2 (SARS-CoV-2), has affected more than 200 countries and lead …
Hep-pred: hepatitis c staging prediction using fine gaussian svm
TM Ghazal - Computers, Materials & Continua, 2021 - research.skylineuniversity.ac.ae
Hepatitis C is a contagious blood-borne infection, and it is mostly asymptomatic during the
initial stages. Therefore, it is difficult to diagnose and treat patients in the early stages of …
initial stages. Therefore, it is difficult to diagnose and treat patients in the early stages of …
Mapping research strands of ethics of artificial intelligence in healthcare: a bibliometric and content analysis
T Saheb, T Saheb, DO Carpenter - Computers in Biology and Medicine, 2021 - Elsevier
The growth of artificial intelligence in promoting healthcare is rapidly progressing.
Notwithstanding its promising nature, however, AI in healthcare embodies certain ethical …
Notwithstanding its promising nature, however, AI in healthcare embodies certain ethical …