Desideri, Lorenzo, et al. “Emotional Processes in Human-Robot Interaction During Brief Cognitive Testing”. 2019. Computers in Human Behavior, vol. 90, 2019, pp. 331-42, doi:10.1016/j.chb.2018.08.013.
Choi, David Y., and Jae Hyeung Kang. “Introduction: The Future of Jobs in an Increasingly Autonomous Economy”. 2021. Journal of Management Inquiry, vol. 28, no. 3, 2019, pp. 298-9, doi:10.1177/1056492619827373.
Brinker, Titus J., et al. “A Convolutional Neural Network Trained With Dermoscopic Images Performed on Par With 145 Dermatologists in a Clinical Melanoma Image Classification Task”. 2019. European Journal of Cancer, vol. 111, 2019, pp. 148-54, doi:10.1016/j.ejca.2019.02.005.
Brinker, Titus J., et al. “Comparing Artificial Intelligence Algorithms to 157 German Dermatologists: The Melanoma Classification Benchmark”. 2019. European Journal of Cancer, vol. 111, 2019, pp. 30-37, doi:10.1016/j.ejca.2018.12.016.
Brinker, Titus J., et al. “Deep Learning Outperformed 136 of 157 Dermatologists in a Head-to-Head Dermoscopic Melanoma Image Classification Task”. 2019. European Journal of Cancer, vol. 113, 2019, pp. 47-54, doi:10.1016/j.ejca.2019.04.001.
Becker, Aliza. “Artificial Intelligence in Medicine: What Is It Doing for Us Today?”. 2019. Health Policy and Technology, vol. 8, no. 2, 2019, pp. 198-05, doi:10.1016/j.hlpt.2019.03.004.
Pepito, Joseph Andrew, and Rozzano Locsin. “Can Nurses Remain Relevant in a Technologically Advanced Future?”. 2019. International Journal of Nursing Sciences, vol. 6, no. 1, 2019, pp. 106-10, doi:10.1016/j.ijnss.2018.09.013.
Levine, Adrian B., et al. “Rise of the Machines: Advances in Deep Learning for Cancer Diagnosis”. 2019. Trends in Cancer, vol. 5, no. 3, 2019, pp. 157-69, doi:10.1016/j.trecan.2019.02.002.
Levine, David I. “Automation As Part of the Solution”. 2021. Journal of Management Inquiry, vol. 28, no. 3, 2019, pp. 316-8, doi:10.1177/1056492619827375.
van Esch, Patrick, et al. “Marketing AI Recruitment: The Next Phase in Job Application and Selection”. 2019. Computers in Human Behavior, vol. 90, 2019, pp. 215-22, doi:10.1016/j.chb.2018.09.009.