Evaluating and enhancing the robustness of vision transformers against adversarial attacks in medical imaging.

Deep neural networks (DNNs) have demonstrated exceptional performance in medical image analysis. However, recent studies have uncovered significant vulnerabilities in DNN models, particularly their susceptibility to adversarial attacks that manipulate these models into making inaccurate predictions. Vision Transformers (ViTs), despite their advanced capabilities in medical imaging tasks, have not been thoroughly evaluated for their robustness against such attacks in this domain.

A case presentation of paroxysmal hypnogenic dyskinesia: clinical features and management.

Unlabelled: Paroxysmal Hypnogenic Dyskinesia (PHD) is a rare movement disorder characterized by involuntary movements, including chorea, athetosis, ballismus, and dystonia, which occur during the Non-Rapid Eye Movement (NREM) sleep stage. Therefore, the diagnosis of PHD is highly crucial due to the presence of differential diagnoses such as epilepsy and other sleep disorders. Although numerous mutations have been identified, the etiology of PHD, which arises from dysregulation in basal ganglia functions, remains unclear.

Drowsiness Mitigation Through Driver State Monitoring Systems: A Scoping Review.

Objective: To explore the scope of available research and to identify research gaps on in-vehicle interventions for drowsiness that utilize driver monitoring systems (DMS).

Background: DMS are gaining popularity as a countermeasure against drowsiness. However, how these systems can be best utilized to guide driver attention is unclear.