Xuanchen Tao, Limin Mao, Puhong Zhang, Xinyan Ma, Zhenyu Liang, Kaige Sun, David Peiris
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artificial intelligence ai gradually transforming practises healthcare providers last two decades advent ai numerous aspects pathology opened transformative possibilities practise laboratory medicine objectives study explore ai could impact clinical practices professionals working clinical chemistry laboratories also identifying effective strategies medical education facilitate required changes march august 2022 exploratory qualitative study conducted section clinical chemistry department pathology laboratory medicine aga khan university karachi pakistan collaboration keele university newcastle united kingdom semistructured interviews conducted collect information diverse group professionals working clinical chemistry laboratories interviews audio recorded transcribed verbatim asked changes ai would involve laboratory resources would necessary medical education would assist adapting change content analysis conducted resulting development codes themes based analyzed data interviews analysed identify three primary themes perspectives considerations ai adoption educational curriculum adjustments implementation techniques although use diagnostic algorithms currently limited pakistani clinical chemistry laboratories application ai expanding thirteen participants stated reasons hesitant use ai participants stressed importance critical aspects effective ai deployment need collaborative integrative approach need constant horizon scanning keep ai developments three primary themes related ai adoption identified perspectives considerations educational curriculum adjustments implementation techniques studys findings give sound foundation making suggestions clinical laboratories scientific bodies national international clinical chemistry laboratory medicine organisations manage pathologists shifting practises ai