Introduction of human-centric AI assistant to aid radiologists for multimodal breast image classification
Bibliographic Data
| ID | 21642529 |
|---|---|
| Authors | Francisco Maria Calisto (0000-0001-8179-7872, INESC TEC, corresponding author), Carlos Santiago (0000-0002-4737-0020, INESC TEC), Nuno Nunes (0000-0002-2498-0643, Instituto de Tecnologias Interativas), Jacinto C Nascimento (0000-0001-7468-5127, INESC TEC) |
| Year | 2021 |
| Volume | 150 |
| Pages | 102607 |
| Publication date | 2021-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Human-Computer Studies (JOURNAL) |
| Journal identifiers | ISSN: 1071-5819 • E-ISSN: 1095-9300 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.ijhcs.2021.102607 |
| OpenAlex | W3128669835 |
| Language | EN |
| Citations received | 8 |
| References cited | 66 |
Breast cancer · Breast imaging · Cancer · Mammography · Medical physics · Multimodality · Workflow · Workload · AI in cancer detection · Artificial Intelligence in Healthcare and Education · Computer Science · Medicine · Radiomics and Machine Learning in Medical Imaging · Artificial Intelligence
ChatGPT in education
Making sense of radiomics
Longitudinal assessment of the effects of passive training on stroke rehabilitation using fNirs technology
Personalized explanations for clinician-AI interaction in breast imaging diagnosis by adapting communication to expertise levels
Uncovering the dynamics of human-AI hybrid performance
Modeling adoption of intelligent agents in medical imaging
Design patterns of human-AI interfaces in healthcare
A mixed-methods investigation of the factors affecting the use of facial recognition as a threatening AI application
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| Citations per year | 2 |
|---|---|
| Citation span | 2022 - 2026 (5) |
| Highly cited | No |