Ethan R Van Norman, Peter M Nelson
Assessing the consequential validity of early literacy progress monitoring data: An investigation of the accuracy of decision rules to evaluate response to instruction
School psychology (Washington, D.C.)
effects artificial intelligence ai technology applications already felt healthcare general practice medicine disciplines radiology pathology ophthalmology oncology expanding interface digital data science emerging ai technologies healthcare creating demand ai technology literacy health professions assess medical student faculty attitudes toward ai preparation teaching ai foundations data science applications clinical practice integrated medical education curriculum online 15question semistructured survey distributed among medical students faculty questionnaire consisted 3 parts participants background ai awareness attitudes toward ai applications medicine total 121 medical students 52 clinical faculty completed survey 30 students 50 faculty responded aware ai topics medicine majority students 72 faculty 59 learned ai media faculty likely report basic understanding ai technologies 2 p 031 students interested ai patient care training faculty interested ai teaching training 2 p 001 additionally students faculty reported comparable attitudes toward ai limited ai literacy time constraints curriculum interest broad deep ai topics findings medical learners teaching faculty parallel published professional groups ai survey results survey conclusively proved interest among medical students faculty ai technology general applications healthcare medicine study conducted single institution survey serves foundation medical schools interested developing collaborative programming approach address ai literacy medical education