Ontika, Nazmun NisatSyed, Hussain AbidSaßmannshausen, Sheree MayHarper, Richard HRChen, YunanPark, Sun YoungGrisot, MiriaChow, AstridBlaumer, NilsPinatti de Carvalho, Aparecido FabianoPipek, Volkmar2022-06-222022-06-222022https://dl.eusset.eu/handle/20.500.12015/4409AI has become an increasingly active area of research over the past few years in healthcare. Nevertheless, not all research advancements are applicable in the field as there are only a few AI solutions that are actually deployed in medical infrastructures or actively used by medical practitioners. This can be due to various reasons as the lack of a human-centered approach for the or non-incorporation of humans in the loop. In this workshop, we aim to address the questions relevant to human-centered AI solutions associated with healthcare by exploring different human-centered approaches for designing AI systems and using image-based datasets for medical diagnosis. We aim to bring together researchers and practitioners in AI, human-computer interaction, healthcare, etc., and expedite the discussions about making usable systems that will be more comprehensible and dependable. Findings from our workshop may serve as ‘terminus a quo’ to significantly improve AI solutions for medical diagnosis.enText/Conference Paper10.48340/ecscw2022_ws062510-2591