Impact of the Rise of Artificial Intelligence in Radiology
What Do Students Think
Bibliographic Data
| ID | 15464602 |
|---|---|
| Authors | Andrés Barreiro-Ares (0000-0003-1238-0429, Universidade de Santiago de Compostela, corresponding author), Annia Morales-Santiago (Universidade de Santiago de Compostela), Francisco Sendra‐Portero (0000-0001-9535-9806, Universidad de Málaga, corresponding author), Miguel Souto (0000-0002-5209-5203, Universidade de Santiago de Compostela), Miguel Souto-Bayarri (Department of Radiology, School of Medicine, University of Santiago de Compostela/CHUS/IDIS (Instituto de Investigación Sanitaria de Santiago), 15782 Santiago de Compostela, Spain) |
| Year | 2023 |
| Volume | 20 |
| Issue | 2 |
| Pages | 1589-1589 |
| Publication date | 2023-01-16 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph20021589 |
| PMID | 36674348 |
| OpenAlex | W4316465182 |
| Language | EN |
| Citations received | 3 |
| References cited | 29 |
The rise of artificial intelligence (AI) in medicine, and particularly in radiology, is becoming increasingly prominent. Its impact will transform the way the specialty is practiced and the current and future education model. The aim of this study is to analyze the perception that undergraduate medical students have about the current situation of AI in medicine, especially in radiology. A survey with 17 items was distributed to medical students between 3 January to 31 March 2022. Two hundred and eighty-one students correctly responded the questionnaire; 79.3% of them claimed that they knew what AI is. However, their objective knowledge about AI was low but acceptable. Only 24.9% would choose radiology as a specialty, and only 40% of them as one of their first three options. The applications of this technology were valued positively by most students, who give it an important Support Role, without fear that the radiologist will be replaced by AI (79.7%). The majority (95.7%) agreed with the need to implement well-established ethical principles in AI, and 80% valued academic training in AI positively. Surveyed medical students have a basic understanding of AI and perceive it as a useful tool that will transform radiology
Family medicine · Medical education · Perception · Radiology · Specialty · Artificial Intelligence in Healthcare and Education · Computer Science · COVID-19 diagnosis using AI · Medicine · Psychology · Radiomics and Machine Learning in Medical Imaging · Artificial Intelligence
| Citations per year | 1 |
|---|---|
| Citation span | 2023 - 2024 (2) |
| Highly cited | No |