TY  - JOUR
AU  - Oprescu, A. M.
AU  - Miro-Amarante, G.
AU  - Garcia-Diaz, L.
AU  - Rey, V. E.
AU  - Chimenea-Toscano, A.
AU  - Martinez-Martinez, R.
AU  - Romero-Ternero, M. C.
PY  - 2022
DO  - 10.1016/j.inffus.2022.03.011
SN  - 1566-2535
UR  - http://hdl.handle.net/10668/22276
T2  - Information fusion
AB  - A medical field that is increasingly benefiting from Artificial Intelligence applications is Gyne- cology and Obstetrics. In previous work, we exposed that Artificial Intelligence (AI) technology and obstetric control by physicians can enhance...
LA  - en
PB  - Elsevier
KW  - Responsible Artificial Intelligence (RAI)
KW  - Explainable Artificial Intelligence (XAI)
KW  - Emotional computing
KW  - Affective computing
KW  - User-centered design
KW  - Human-Centered Design
KW  - Privacy
KW  - Security
KW  - Pregnancy
KW  - Risk
KW  - Association
KW  - Depression
KW  - Medicine
KW  - Emotion
KW  - Anxiety
KW  - Women
KW  - Ai
TI  - Towards a data collection methodology for Responsible Artificial Intelligence in health: A prospective and qualitative study in pregnancy
TY  - research article
VL  - 83
ER  -