Liang, H.-F., Wu, K.-M., Weng, C.-H., & Hsieh, H.-W. (2019). Nurses’ Views on the Potential Use of Robots in the Pediatric Unit. Journal of Pediatric Nursing, 47, e58 - e64. https://doi.org/10.1016/j.pedn.2019.04.027
Brinker, T. J., Hekler, A., Hauschild, A., Berking, C., Schilling, B., Enk, A., Haferkamp, S., Karoglan, A., von Kalle, C., Weichenthal, M., Sattler, E., Schadendorf, D., Gaiser, M. R., Klode, J., & Utikal, J. S. (2019). Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark. European Journal of Cancer, 111, 30-37. https://doi.org/10.1016/j.ejca.2018.12.016
Brinker, T. J., Hekler, A., Enk, A., Klode, J., Hauschild, A., Berking, C., Schilling, B., Haferkamp, S., Schadendorf, D., Fröhling, S., Utikal, J. S., von Kalle, C., Ludwig-Peitsch, W., Sirokay, J., Heinzerling, L., Albrecht, M., Baratella, K., Bischof, L., Chorti, E., … Schrüfer, P. (2019). A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task. European Journal of Cancer, 111, 148-154. https://doi.org/10.1016/j.ejca.2019.02.005
Brinker, T. J., Hekler, A., Enk, A., Klode, J., Hauschild, A., Berking, C., Schilling, B., Haferkamp, S., Schadendorf, D., Holland-Letz, T., Utikal, J. S., von Kalle, C., Ludwig-Peitsch, W., Sirokay, J., Heinzerling, L., Albrecht, M., Baratella, K., Bischof, L., Chorti, E., … Schrüfer, P. (2019). Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task. European Journal of Cancer, 113, 47-54. https://doi.org/10.1016/j.ejca.2019.04.001
Becker, A. (2019). Artificial intelligence in medicine: What is it doing for us today? Health Policy and Technology, 8(2), 198-205. https://doi.org/10.1016/j.hlpt.2019.03.004
Pepito, J. A., & Locsin, R. (2019). Can nurses remain relevant in a technologically advanced future? International Journal of Nursing Sciences, 6(1), 106-110. https://doi.org/10.1016/j.ijnss.2018.09.013
Levine, A. B., Schlosser, C., Grewal, J., Coope, R., Jones, S. J., & Yip, S. (2019). Rise of the Machines: Advances in Deep Learning for Cancer Diagnosis. Trends in Cancer, 5(3), 157-169. https://doi.org/10.1016/j.trecan.2019.02.002
Harini, B. (2019). An Extensive Review on Recent Emerging Applications of Artificial Intelligence. Asia-Pacific Journal of Convergent Research Interchange, 5(2), 79-88. https://doi.org/10.21742/apjcri10.21742/apjcri.2019.0610.21742/apjcri.2019.06.09
Belanche, D., Casaló, L. V., & Flavián, C. (2019). Artificial Intelligence in FinTech: understanding robo-advisors adoption among customers. Industrial Management & Data Systems, 119(7), 1411-1430. https://doi.org/10.1108/IMDS-08-2018-0368
Moore, M. M., Slonimsky, E., Long, A. D., Sze, R. W., & Iyer, R. S. (2019). Machine learning concepts, concerns and opportunities for a pediatric radiologist. Pediatric Radiology, 49(4), 509-516. https://doi.org/10.1007/s00247-018-4277-7