AI at the Bedside: An Argument for a Training Wheels Approach
{"Bedside":[0],"use":[1,194],"of":[2,46,73,76,90,100,116,160,174,195],"artificial":[3],"intelligence":[4],"(AI)":[5],"platforms":[6],"is":[7,57],"increasingly":[8],"common.":[9],"Busy":[10],"clinicians":[11],"may":[12,35,112,121],"welcome":[13],"these":[14,143,161,212],"generative":[15],"AI":[16,49,80,102,118,146],"(Gen":[17],"AI)":[18],"tools,":[19,81],"which":[20,85],"have":[21],"the":[22,98,149,177,193,197],"potential":[23],"to":[24,39,69,104,137,154,210],"streamline":[25],"many":[26,91],"time-consuming":[27],"tasks":[28],"and":[29,53,60,109,120,134,157,166,208],"aid":[30],"in":[31,148,163],"patient":[32,164],"care.":[33],"Trainees":[34],"find":[36],"them":[37],"useful":[38],"quickly":[40],"evaluate":[41,139],"complex":[42],"medical":[43,167],"information.":[44],"Acceptance":[45],"bedside":[47],"Gen":[48,79,101,117,145],"tools":[50,103,119,147,162],"by":[51,78],"patients":[52],"their":[54,140,201],"families,":[55],"however,":[56],"less":[58],"clear,":[59],"a":[61,171,183],"definitive":[62],"standard":[63],"surrounding":[64],"informed":[65],"consent":[66],"has":[67],"yet":[68],"be":[70,113],"established.":[71],"Omission":[72],"certain":[74],"types":[75],"information":[77],"including":[82],"\\"small":[83],"talk,\\"":[84],"comprises":[86],"an":[87],"essential":[88],"element":[89],"pediatric":[92,205],"clinical":[93,150],"interactions,":[94],"demands":[95],"attention":[96],"alongside":[97],"tendency":[99],"fabricate":[105],"content.":[106],"Medical":[107],"students":[108],"resident":[110],"physicians":[111],"early":[114],"adopters":[115],"accept":[122],"AI-generated":[123],"statements":[124],"at":[125],"face":[126],"value":[127],"before":[128],"having":[129],"fully":[130],"developed":[131],"adequate":[132],"knowledge":[133],"critical":[135],"skills":[136],"independently":[138],"veracity.":[141],"Despite":[142],"challenges,":[144],"space":[151],"are":[152],"here":[153],"stay.":[155],"Safe":[156],"effective":[158],"incorporation":[159],"care":[165],"education":[168],"must":[169],"balance":[170],"wide":[172],"range":[173],"considerations.":[175],"In":[176],"following":[178],"Ethics":[179],"Rounds,":[180],"stemming":[181],"from":[182],"2024":[184],"Pediatric":[185],"Academic":[186],"Society":[187],"Bioethics":[188],"Club":[189],"Meeting":[190],"session":[191],"on":[192,200],"AI,":[196],"commentators":[198],"draw":[199],"diverse":[202],"background":[203],"as":[204],"clinicians,":[206],"bioethicists,":[207],"educators":[209],"explore":[211],"issues.":[213]}
Authors
- Douglas S. Diekema (ORCID: https://orcid.org/0000-0002-1703-5176)
- Katherine E. MacDuffie (ORCID: https://orcid.org/0000-0003-1252-4373)
- Elliott M. Weiss
- Yoram Unguru
- Marlyse F. Haward
- Jennifer C. Kett
Institutions
- University of Washington (US)
- Sinai Hospital (US)
- Johns Hopkins Berman Institute of Bioethics (US)
- Seattle Children's Hospital (US)
- Children's Hospital at Montefiore (US)
Publication Details
- Journal
- PEDIATRICS
- Published
- 2026-09-08
- DOI
- https://doi.org/10.1542/peds.2025-074896
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00