A vision transformer deep learning model for assessing pediatric ileocolic intussusception severity using ultrasound images

Generative AI mental health chatbots: a scoping review of intervention design and user experience

Lotenna Olisaeloka, Chris G. Richardson, Angel Y Wang, Richard J. Munthali, Daniel V. Vigo

Generative AI (GenAI) mental health chatbots offer scalable, on-demand support with the potential to address persistent gaps in mental healthcare access. Yet evidence on how these interventions are designed and how users experience them remains fragmented. To our knowledge, this…Read more

Meaningful oversight of medical AI beyond human in the loop

Davy van de Sande, Nicoleta Economou‐Zavlanos, Michel E. van Genderen

Human oversight of medical AI is increasingly required, but clinician presence alone does not make oversight meaningful. We propose four interlocking conditions—epistemic capacity, cognitive space, decisional authority, and intervention effectiveness—that determine whether human…Read more

Evaluating large language models for assessment of psychosis risk

Taiyu Zhu, Alexander Tashevski, Maxime Taquet, Matilda Azis, Tia Jani, Matthew R. Broome, et al.

Abstract Psychosis prevention relies on early detection of individuals at clinical high risk for psychosis (CHR-P). The effectiveness of the CHR-P state is constrained, in part, due to clinical assessments requiring specialist interpretation of narrative interviews, limiting scal…Read more

Enhancing out-of-hospital emergency care via lexical machine learning modeling of chief complaints

Aaron C. Weidman, Remle P. Crowe, Ali Treichel, Francis X. Guyette, David D. Salcido

Explainable machine learning for 10-year prediction of cognitive impairment in a rural Chinese population

Botang Guo, Shiqi Li, Minyao Li, Yuanshuo Ma, Ying Fu, Yihao Shu, et al.

Fairness in multimodal machine learning applications in clinical decision support: a systematic review

Amit Saha, Lexuan Shao, Jinman Kim, Adam G. Dunn