Search Results - "Hewis, Johnathan"

Gender bias in generative artificial intelligence text-to-image depiction of medical students by Currie, Geoffrey, Currie, Josie, Anderson, Sam, Hewis, Johnathan

“…Introduction: In Australia, 54.3% of medical students are women yet they remain under-represented in stereotypical perspectives of medicine. While potentially…”
Get full text

Australian perspectives on artificial intelligence in medical imaging by Currie, Geoffrey, Nelson, Tarni, Hewis, Johnathan, Chandler, Amanda, Spuur, Kelly, Nabasenja, Caroline, Thomas, Cate, Wheat, Janelle

“…Introduction While artificial intelligence (AI) and recent developments in deep learning (DL) have sparked interest in medical imaging, there has been little…”
Get full text

Do MRI Patients Tweet? Thematic Analysis of Patient Tweets About Their MRI Experience by Hewis, Johnathan, MSc (MEDIM), PgCert (LTHE), PgCert (BE), BSc Hons (DIRAD), FHEA

“…Abstract Background Twitter is an online, multimedia microblogging tool used actively by millions across the world. Twitter may provide a unique insight into…”
Get full text

A salutogenic approach: Changing the paradigm by Hewis, Johnathan

Get full text

Tomographic Reconstruction: A Nonmathematical Overview by Currie, Geoffrey, BPharm, MMedRadSc(NucMed), MAppMngt(health), MBA, PhD, Hewis, Johnathan, MSc (MEDIM), PgCert (LTHE), PgCert (BE), BSc Hons (DIRAD), FHEA, Bushong, Stewart, ScD, FAAPM, FACR

“…Abstract Tomographic reconstruction in single-photon-emission computed tomography (SPECT), positron emission tomography (PET), and computed tomography (CT) aim…”
Get full text

‘Scanxiety’: Content analysis of pre-MRI patient experience on Instagram by Homewood, Hayley, Hewis, Johnathan

“…Distress and anxiety are commonly reported during the Magnetic Resonance Imaging (MRI) experience with prior studies suggesting the pre-MRI period is a time of…”
Get full text

Music and Music Therapy in the Medical Radiation Sciences by Hewis, Johnathan

Get full text

Gender and ethnicity bias in generative artificial intelligence text-to-image depiction of pharmacists by Currie, Geoffrey, John, George, Hewis, Johnathan

“…In Australia, 64% of pharmacists are women but continue to be under-represented. Generative artificial intelligence (AI) is potentially transformative but also…”
Get full text

Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 1: Preliminary Evaluation by Currie, Geoffrey, Hewis, Johnathan, Hawk, Elizabeth, Rohren, Eric

“…Generative artificial intelligence (AI) text-to-image production could reinforce or amplify gender and ethnicity biases. Several text-to-image generative AI…”
Get full text

Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 2: Analysis of DALL-E 3 by Currie, Geoffrey, Hewis, Johnathan, Hawk, Elizabeth, Rohren, Eric

“…Disparity among gender and ethnicity remains an issue across medicine and health science. Only 26%-35% of trainee radiologists are female, despite more than…”
Get full text

When she clicked the microphone, you could hear background chatter and banter by Hewis, Johnathan, Gallacé, Nicola

Get full text

Systematic review of MRI safety literature in relation to radiofrequency thermal injury prevention by Baker, Cassandra, Nugent, Barbara, Grainger, David, Hewis, Johnathan, Malamateniou, Christina

“…Introduction Magnetic resonance imaging (MRI) is a rapidly evolving modality, generally considered safe due to lack of ionising radiation. While MRI technology…”
Get full text

Imaging individuals with obesity by Nabasenja, Caroline, Barry, Kym, Nelson, Tarni, Chandler, Amanda, Hewis, Johnathan

“…Medical imaging is integral to the diagnosis and management of the co-morbidities associated with obesity. While individuals with obesity are increasingly…”
Get full text

COVID-19 impact on undergraduate teaching: Medical radiation science teaching team experience by Currie, Geoffrey, Hewis, Johnathan, Nelson, Tarni, Chandler, Amanda, Nabasenja, Caroline, Spuur, Kelly, Barry, Kym, Frame, Nigel, Kilgour, Andrew

“…The COVID-19 crisis has caused a number of significant challenges to the higher education sector. Universities worldwide have been forced to rapidly transition…”
Get full text