An interdisciplinary review of AI and HRM: Challenges and future directions
Artificial intelligence (AI) has the potential to change the future of human resource
management (HRM). Scholars from different disciplines have contributed to the field of AI in …
management (HRM). Scholars from different disciplines have contributed to the field of AI in …
[HTML][HTML] Artificial intelligence versus clinicians in disease diagnosis: systematic review
Background: Artificial intelligence (AI) has been extensively used in a range of medical fields
to promote therapeutic development. The development of diverse AI techniques has also …
to promote therapeutic development. The development of diverse AI techniques has also …
Robots in the workplace: a threat to—or opportunity for—meaningful work?
The concept of meaningful work has recently received increased attention in philosophy and
other disciplines. However, the impact of the increasing robotization of the workplace on …
other disciplines. However, the impact of the increasing robotization of the workplace on …
Machine learning and neurosurgical outcome prediction: a systematic review
JT Senders, PC Staples, AV Karhade, MM Zaki… - World neurosurgery, 2018 - Elsevier
Objective Accurate measurement of surgical outcomes is highly desirable to optimize
surgical decision-making. An important element of surgical decision making is identification …
surgical decision-making. An important element of surgical decision making is identification …
Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic review
Abstract Machine learning (ML) involves algorithms learning patterns in large, complex
datasets to predict and classify. Algorithms include neural networks (NN), logistic regression …
datasets to predict and classify. Algorithms include neural networks (NN), logistic regression …
The impact of machine learning on patient care: a systematic review
Background Despite the expanding use of machine learning (ML) in fields such as finance
and marketing, its application in the daily practice of clinical medicine is almost non-existent …
and marketing, its application in the daily practice of clinical medicine is almost non-existent …
Artificial intelligence for brain diseases: A systematic review
Artificial intelligence (AI) is a major branch of computer science that is fruitfully used for
analyzing complex medical data and extracting meaningful relationships in datasets, for …
analyzing complex medical data and extracting meaningful relationships in datasets, for …
Machine learning in vascular surgery: a systematic review and critical appraisal
Abstract Machine learning (ML) is a rapidly advancing field with increasing utility in health
care. We conducted a systematic review and critical appraisal of ML applications in vascular …
care. We conducted a systematic review and critical appraisal of ML applications in vascular …
Quality assessment standards in artificial intelligence diagnostic accuracy systematic reviews: a meta-research study
S Jayakumar, V Sounderajah, P Normahani… - NPJ Digital …, 2022 - nature.com
Artificial intelligence (AI) centred diagnostic systems are increasingly recognised as robust
solutions in healthcare delivery pathways. In turn, there has been a concurrent rise in …
solutions in healthcare delivery pathways. In turn, there has been a concurrent rise in …
A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized …
Artificial intelligence (AI) is becoming increasingly popular and useful for modeling landslide
movement processes due to its advantages of providing excellent generalization ability and …
movement processes due to its advantages of providing excellent generalization ability and …