Prostate cancer remains a significant global health challenge, characterized by high
incidence and substantial morbidity and mortality rates. Early detection is critical for …

Humanity stands at a pivotal moment of technological revolution, with artificial intelligence
(AI) resha** fields traditionally reliant on human cognitive abilities. This transition, driven …

Background and objective Biparametric magnetic resonance imaging (bpMRI), excluding
dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI), is a potential …

This study explores the use of DeepSeek, an advanced artificial intelligence system, in
conducting medical research on tai chi and qigong, two ancient practices rooted in …

Despite the growing prominence of transformers in medical image segmentation, their
application to clinically significant prostate cancer (csPCa) has been overlooked. Minimal …

Background and objective To assess whether conventional brightness-mode (B-mode)
transrectal ultrasound images of the prostate reveal clinically significant cancers with the …

Background and objective Magnetic resonance imaging (MRI) plays a critical role in prostate
cancer diagnosis, but is limited by variability in interpretation and diagnostic accuracy. This …

Prostate magnetic resonance imaging (MRI) has emerged as a valuable tool to improve the
diagnostic pathway of prostate cancer. Prostate MRI aids in the detection of clinically …

Multimodal medical image segmentation is challenging due to feature heterogeneity across
modalities and the presence of modality-specific noise and artifacts. These factors hinder the …