biostudies-literatureUnknown12El-Kassas M<h4>Background</h4>Artificial intelligence (AI) is increasingly relevant to hepatology, yet real-world adoption in the Middle East and North Africa (MENA) is uncertain. We assessed awareness, use, perceived value, barriers, and policy priorities among hepatology clinicians in the region.<h4>Methods</h4>A cross-sectional online survey targeted hepatologists and gastroenterologists across 17 MENA countries. The survey assessed clinical and research applications of AI, perceived benefits, clinical and research use, barriers, ethical considerations, and institutional readiness. Descriptive statistics and thematic analysis were performed.<h4>Results</h4>Of 285 invited professionals, 236 completed the survey (response rate: 82.8%). While 73.2% recognized the transformative potential of AI, only Frontiers in medicine1630831https://www.ebi.ac.uk/biostudies/studies/S-EPMC12463891biostudies-literatureMapping artificial intelligence adoption in hepatology practice and research: challenges and opportunities in MENA region.PMC12463891Abumallouh IMMohammed MHPolat YHElkhier HFABalaban YHMatar KElfert AMohammed MOAlgeblawi AAHassan MKFaisal MParlar YEAlkhalidi NMZakri YZaki MAHassan NAAlhusayni OADursun HAdali AOAbdulla MErgenc IMatar RKetenci YBAlriyami SMAhmed AHMDertsiz BElshemy EEUsluoglu YAlsuleimani AHarput ZNGabr MTKeskin OFurkan Aydın RBasulayman DY MBasaranoglu MKenger EBMoustafa EFShousha HIKamath BRSenates EJasem AYilmaz YElrashdy FAyoub MDAtasoy HGehani PAAAli Sahan MCicek SHela GAlotaibi FMElhaddad ABHarı MAlsari MTAAlDhahab HAKordugum AAlghamdi MYFared MAbuHelal AMCentre RAlrawi FFProgram HSElbadawy RMMossa HMSubasi CFAl Farsi BSMohammad OOAbdelghani YAl Balushi YSMTaharboucht SGurbuz BAl Mandhari MNAldosari SHassan DYurci AOmran RABAlali AHamad KMMisellati AWaked IElnadry MHAbdulla AAAlmalki FTaner Gulsen MAkca MAladawi AGouda AShuaili HHAbdeen NOzdede MAlalwan ANagdy HMAbdulqader HSKhalaf NAKayhan MAMenessy ANMedhat MAMelez SNIAl-Bahlani AQAslan IBSasi NATuncer MAlsiyabi OMohamad TAOmran HYacoub HCetin DDYunus Iyiyapıcı KAl Masri NMKıvrakoglu FEl-Kassas MAltamimi JACankurtaran REHammami AAlmattooq MArı DAkyildiz MKoseoglu HSwayah MBElzewiei GYAljawad MSinani SColak HAl Noumani JHCosar AMShajee MRGouiaa DUlgut GGalal GMKazdal SMGarad SAAkarca HTMakhlouf NAUstaoglu MAkyon SHAl Jabri STuran Gokce DMostafa El-Karaksy HTuran ITumi AAbdo AMHelmy AAAl-Dury SOzturk BAli RSSteatotic Liver Disease Study Foundation in Middle East and North Africa (SLMENA) CollaboratorsSaylam SAdali GElbadry MEl Khalik HSALabidi AAl-Naamani ZMustapha BFidan SAlbayrak FShehata MHFissah MDemiroz HAlmaghrabi MAl Hashmi AWBerhili CHussien MHAEzz-Eldin MMahdy MAEl-Domiaty NHemdan SMAl Balushi KSAldaqrum MMNaguib YEKhan MAEruzun HUnit GAlqartoobi HARasool DASSanai FMMady NOAlsenbesy MABichu RKRadwan HHalil Soylemez IAhmed HMKeklikkiran CK Al-Darmaki AAlzanbagi AElmsellati MLMedicine EDiseases IAhmed YKTharwat MElzouki ANElsherif IKhalifa RAsser MLRammal AAlNaamani KMAbdelmalek MOAli WSRaziky MEEAydin GAl Qarshoubi ISAlswat KAKarahan TOElhassi AFSalah YMAltayib LABiricik MElwazzan DIsmail MAkdogan RAAlsabban AMMorsy KHAbdulhussein AAAttia DEndoscopy AIlhan AMahdy REMawardi MAbdalhussain SSAvuk HSAbdelhamed WDesokey ESFares EMAl Harthy FMMeral Koc BAlmatrafi MJGul GAssar AMAl Balushi NYAlkalbani AHRıza Calıskan AElsahhar MAl Alawi SDebzi NEl-Shabrawi MHFMohamed AOsman YHAlghamdi ASBaban SSwaiss MOAlHarthy NAErkut MfalseMapping artificial intelligence adoption in hepatology practice and research: challenges and opportunities in MENA region.<h4>Background</h4>Artificial intelligence (AI) is increasingly relevant to hepatology, yet real-world adoption in the Middle East and North Africa (MENA) is uncertain. We assessed awareness, use, perceived value, barriers, and policy priorities among hepatology clinicians in the region.<h4>Methods</h4>A cross-sectional online survey targeted hepatologists and gastroenterologists across 17 MENA countries. The survey assessed clinical and research applications of AI, perceived benefits, clinical and research use, barriers, ethical considerations, and institutional readiness. Descriptive statistics and thematic analysis were performed.<h4>Results</h4>Of 285 invited professionals, 236 completed the survey (response rate: 82.8%). While 73.2% recognized the transformative potential of AI, only 2025-01-01T00:00:00Z20252026-06-03T21:45:08.208Z2026-05-02T03:08:31.752ZS-EPMC124638914102025010.3389/fmed.2025.1630831