stroke-related-animal-models-methodologies-applications-translational

Stroke-Related Animal Models: Methodologies, Applications, and Translational Perspectives

Stroke remains a leading cause of death and disability worldwide. Despite hundreds of neuroprotective agents showing promise in preclinical studies, ...

The Second Affiliated Hospital of Kunming Medical University

Freezing of gait (FOG) is a disabling phenomenon that is described by patients with Parkinson's disease (PD). Not only gait may be involved in the freezing phenomenon, but also some nonmotor symptoms, such as freezing of urination (FOU) in this case. The characters of urinary dysfunctions in this case resemble "off" freezing: (1) abrupt difficulty in starting or continuing in urination; (2) the urinary dysfunctions fluctuated with medication state; and (3) the urinary dysfunctions could be alleviated dramatically by an external cueing. Urinary dysfunctions in this patient (and maybe more PD patients) are associated not only with the classical "nonmotor symptoms" but also the freezing phenomenon. FOU could be a part of the spectrum of freezing symptoms. The subtypes of the freezing phenomenon will shed light on the PD pathophysiology and clinical treatment.

Freezing More than Gait: A Case Report of Freezing of Urination (FOU) in Parkinson's Disease.

Epilepsy, a prevalent and complex neurological disorder,poses significant challenges in clinical diagnosis and treatment due to its heterogeneous classifications,diverse etiologies,frequent lack of physician-witnessed episodes, and varied therapeutic approaches. The deep integration of Artificial Intelligence (AI) into healthcare has emerged as a promising solution. However, most existing epilepsy-related AI models primarily rely on single-data inputs, which struggle to address the complexity of epilepsy. Consequently, in recent years, the research and development of multimodal AI models-leveraging diverse and complex datasets, have gained momentum and demonstrated substantial advantages. This article reviews the current applications of multimodal AI models in epilepsy detection devices, diagnosis, treatment, and outcome prognosis, summarizing research hotspots and future trends. It aims to provide valuable insights for building more precise and comprehensive AI-driven epilepsy management systems.

Advances in multimodal artificial intelligence models for epilepsy research.

Multiparameter concept-based interpretable model for early breast cancer diagnosis and structured reporting: a multi-center, multi-reader, radiologist-in-the-loop study.

Article	Year
Freezing More than Gait: A Case Report of Freezing of Urination (FOU) in Parkinson's Disease. Parkinson's disease\| PubMed ID: 32399170	2020
Advances in multimodal artificial intelligence models for epilepsy research. Epilepsy & behavior : E&B\| PubMed ID: 41289803	2026
Multiparameter concept-based interpretable model for early breast cancer diagnosis and structured reporting: a multi-center, multi-reader, radiologist-in-the-loop study. BMC medicine\| PubMed ID: 42026532	2026

Mengyuan Xu

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