An interdisciplinary review of AI and HRM: Challenges and future directions

Y Pan, FJ Froese - Human resource management review, 2023 - Elsevier
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 …

[HTML][HTML] Artificial intelligence versus clinicians in disease diagnosis: systematic review

J Shen, CJP Zhang, B Jiang, J Chen… - JMIR medical …, 2019 - medinform.jmir.org
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 …

Robots in the workplace: a threat to—or opportunity for—meaningful work?

J Smids, S Nyholm, H Berkers - Philosophy & Technology, 2020 - Springer
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 …

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 …

Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic review

QD Buchlak, N Esmaili, JC Leveque, F Farrokhi… - Neurosurgical …, 2020 - Springer
Abstract Machine learning (ML) involves algorithms learning patterns in large, complex
datasets to predict and classify. Algorithms include neural networks (NN), logistic regression …

The impact of machine learning on patient care: a systematic review

D Ben-Israel, WB Jacobs, S Casha, S Lang… - Artificial intelligence in …, 2020 - Elsevier
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 …

Artificial intelligence for brain diseases: A systematic review

A Segato, A Marzullo, F Calimeri, E De Momi - APL bioengineering, 2020 - pubs.aip.org
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 …

Machine learning in vascular surgery: a systematic review and critical appraisal

B Li, T Feridooni, C Cuen-Ojeda, T Kishibe… - NPJ Digital …, 2022 - nature.com
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 …

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 …

A comparative study of mutual information-based input variable selection strategies for the displacement prediction of seepage-driven landslides using optimized …

J Ma, Y Wang, X Niu, S Jiang, Z Liu - Stochastic Environmental Research …, 2022 - Springer
Artificial intelligence (AI) is becoming increasingly popular and useful for modeling landslide
movement processes due to its advantages of providing excellent generalization ability and …