Does AI explainability affect physicians’ intention to use AI?

Ethical, legal, and social considerations of AI-based medical decision-support tools: A scoping review

(2022) Anto Čartolovni et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Implementation of a machine learning application in preoperative risk assessment for hip repair surgery

(2022) Yu-Yu Li et al.   BMC Anesthesiology

Development of an Interactive AI System for the Optimal Timing Prediction of Successful Weaning from Mechanical Ventilation for Patients in Respiratory Care Centers

(2022) Kuang-Ming Liao et al.   Diagnostics

AI Technology and Online Purchase Intention: Structural Equation Model Based on Perceived Value

(2021) Jiwang Yin et al.   Sustainability

Real‐time interactive artificial intelligence of things–based prediction for adverse outcomes in adult patients with pneumonia in the emergency department

(2021) You‐Ming Chen et al.   ACADEMIC EMERGENCY MEDICINE

Algorithmic bias in data-driven innovation in the age of AI

(2021) Shahriar Akter et al.   INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT

Potential applications and performance of machine learning techniques and algorithms in clinical practice: A systematic review

(2021) Ezekwesiri Michael Nwanosike et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study

(2020) Rana Abdullah et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Explainable classifier for improving the accountability in decision-making for colorectal cancer diagnosis from histopatological images

(2020) Patrik Sabol et al.   JOURNAL OF BIOMEDICAL INFORMATICS

The Effects of Explainability and Causability on Perception, Trust, and Acceptance: Implications for Explainable AI

(2020) Full Professor Donghee Shin   INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES

Leveraging interpretable machine learning algorithms to predict postoperative patient outcomes on mobile devices

(2020) Majed W. El Hechi et al.   SURGERY

Artificial Intelligence and Black-Box Medical Decisions: Accuracy versus Explainability

(2019) Alex John London   HASTINGS CENTER REPORT

Seven HCI Grand Challenges

(2019) Constantine Stephanidis et al.   INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION

Artificial intelligence and algorithmic bias: implications for health systems

(2019) Trishan Panch et al.   Journal of Global Health

XAI—Explainable artificial intelligence

(2019) David Gunning et al.   Science Robotics

Automated detection and classification of the proximal humerus fracture by using deep learning algorithm

(2018) Seok Won Chung et al.   Acta Orthopaedica

Perceived value and adoption intention for electric vehicles in Korea: Moderating effects of environmental traits and government supports

(2018) Moon-Koo Kim et al.   ENERGY

Peeking inside the black-box: A survey on Explainable Artificial Intelligence (XAI)

(2018) Amina Adadi et al.   IEEE Access

Artificial intelligence in medicine

(2017) Pavel Hamet et al.   METABOLISM-CLINICAL AND EXPERIMENTAL

Investigating User Resistance to Information Systems Implementation: A Status Quo Bias Perspective

(2017) Kim et al.   MIS QUARTERLY

Technostress: Technological Antecedents and Implications

(2017) Ayyagari et al.   MIS QUARTERLY

Exploring critical factors influencing physicians’ acceptance of mobile electronic medical records based on the dual-factor model: a validation in Taiwan

(2015) Chung-Feng Liu et al.   BMC Medical Informatics and Decision Making

Comparison of the middle-aged and older users’ adoption of mobile health services in China

(2013) Zhaohua Deng et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Trust in medical technology by patients and healthcare providers in obstetric work systems

(2010) Enid N.H. Montague et al.   BEHAVIOUR & INFORMATION TECHNOLOGY