Clara A Callahan
Biographic Data
| ID | 7720886 |
|---|---|
| NAME | Clara A Callahan |
| GIVEN NAMES | Clara A |
| FAMILY NAME | Callahan |
| SIGNATURE | CALLAHAN C A |
| AFFILIATIONS | Tufts University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Integrating artificial intelligence into medical education
We surveyed faculty and students at a large urban medical school to assess their awareness, usage patterns, and perceived barriers to AI adoption, aiming to identify opportunities for meaningful integration of AI into medical education. We developed a custom survey and distributed it to all medical students (Years 1-4) and a selected group of faculty involved in the MD curriculum. We used descriptive statistics to analyze quantitative data and co…
Preparing for the MD
PURPOSE: To assess educational and professional outcomes of an accelerated combined bachelor of science-doctor of medicine (BS-MD) program using data collected from 1968 through 2018. METHOD: Participants of this longitudinal study included 2,235 students who entered medical school between 1968 and 2014: 1,134 in the accelerated program and 1,101 in the regular curriculum (control group)-matched by year of entrance to medical school, gender, and …
No prominent works on this page.
Preparing for the MD
PURPOSE: To assess educational and professional outcomes of an accelerated combined bachelor of science-doctor of medicine (BS-MD) program using data collected from 1968 through 2018. METHOD: Participants of this longitudinal study included 2,235 students who entered medical school between 1968 and 2014: 1,134 in the accelerated program and 1,101 in the regular curriculum (control group)-matched by year of entrance to medical school, gender, and …
Integrating artificial intelligence into medical education
We surveyed faculty and students at a large urban medical school to assess their awareness, usage patterns, and perceived barriers to AI adoption, aiming to identify opportunities for meaningful integration of AI into medical education. We developed a custom survey and distributed it to all medical students (Years 1-4) and a selected group of faculty involved in the MD curriculum. We used descriptive statistics to analyze quantitative data and co…
Medical education (2 works) · Medicine (2 works) · Psychology (2 works) · Artificial Intelligence in Healthcare and Education (1 works) · Bachelor (1 works) · Biomedical and Engineering Education (1 works) · Board certification (1 works) · Certification (1 works) · Continuing medical education (1 works) · Curriculum (1 works)