Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Accuracy | 1 |
| Anatomy | 1 |
| Artificial Intelligence | 1 |
| Identification | 1 |
| Likert Scales | 1 |
| Man Machine Systems | 1 |
| Natural Language Processing | 1 |
Author
| Abbey C. M. Breckling | 1 |
| Adam B. Wilson | 1 |
| Amy C. Beresheim | 1 |
| Christopher Ferrigno | 1 |
| Colleen M. Cheverko | 1 |
| Emily Rush | 1 |
| Lord J. Hyeamang | 1 |
| M. Nazmul Karim | 1 |
| Tejas C. Sekhar | 1 |
| William S. Brooks | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Lord J. Hyeamang; Tejas C. Sekhar; Emily Rush; Amy C. Beresheim; Colleen M. Cheverko; William S. Brooks; Abbey C. M. Breckling; M. Nazmul Karim; Christopher Ferrigno; Adam B. Wilson – Anatomical Sciences Education, 2025
Evidence suggests custom chatbots are superior to commercial generative artificial intelligence (GenAI) systems for text-based anatomy content inquiries. This study evaluates ChatGPT-4o's and Claude 3.5 Sonnet's capabilities to interpret unlabeled anatomical images. Secondarily, ChatGPT o1-preview was evaluated as an AI rater to grade AI-generated…
Descriptors: Artificial Intelligence, Anatomy, Identification, Man Machine Systems

Peer reviewed
Direct link
