Rebecca Charow|Tharshini Jeyakumar|Sarah Younus|Elham Dolatabadi|Mohammad Salhia|Dalia Al-Mouaswas|Melanie Anderson|Sarmini Balakumar|Megan Clare|Azra Dhalla|Caitlin Gillan|Shabnam Haghzare|Ethan Jackson|Nadim Lalani|Jane Mattson|Wanda Peteanu|Tim Tripp|Jacqueline Waldorf|Spencer Williams|Walter Tavares|David Wiljer
Artificial Intelligence Education Programs for Health Care Professionals: Scoping Review
University Health Network|Public Health Ontario|University of Toronto|University Health Network|University Health Network|Vector Institute|Public Health Ontario|University of Toronto|Michener Institute|University Health Network|Michener Institute|University Health Network|University Health Network|Michener Institute|University Health Network|Public Health Ontario|University of Toronto|University Health Network|Michener Institute|Vector Institute|University Health Network|Public Health Ontario|University of Toronto|University Health Network|University of Toronto|Vector Institute|Vector Institute|Vector Institute|University Health Network|Michener Institute|University Health Network|Michener Institute|University Health Network|University Health Network|Michener Institute|University Health Network|University Health Network|Public Health Ontario|The Wilson Centre|University of Toronto|University Health Network|Public Health Ontario|Centre for Addiction and Mental Health|University of Toronto
adoption artificial intelligence ai health care increases become increasingly crucial involve health care professionals hcps developing validating implementing aienabled technologies however lack ai literacy hcps adequately prepared revolution significant barrier adopting implementing ai affect patients addition limited existing ai education programs face barriers development implementation various levels medical educationwith view informing future ai education programs hcps scoping review aims provide overview types current past ai education programs pertains programs curricular content modes delivery critical implementation factors education delivery outcomes used assess programs effectivenessafter creation search strategy keyword searches 2stage screening process conducted 2 independent reviewers determine study eligibility consensus reached conflict resolved consulting third reviewer process consisted title abstract scan fulltext review articles included discussed actual training program educational intervention potential training program educational intervention desired content covered focused ai designed intended hcps stage careerof 10094 unique citations scanned 41 041 studies relevant eligibility criteria identified among 41 included studies 10 24 described 13 unique programs 31 76 discussed recommended curricular content curricular content unique programs ranged ai use ai interpretation cultivating skills explain results derived ai algorithms curricular topics categorized three main domains cognitive psychomotor affectivethis review provides overview current landscape ai medical education highlights skills competencies required hcps effectively use ai enhancing quality care optimizing patient outcomes future education efforts focus development regulatory strategies multidisciplinary approach curriculum redesign competencybased curriculum patientclinician interaction