Faster and better than a physician?: Assessing diagnostic proficiency of ChatGPT in misdiagnosed individuals with neuromyelitis optica spectrum disorder.

Background: Neuromyelitis optica spectrum disorder (NMOSD) is a commonly misdiagnosed condition. Driven by cost-consciousness and technological fluency, distinct generations may gravitate towards healthcare alternatives, including artificial intelligence (AI) models, such as ChatGPT (Generative Pre-trained Transformer). Our objective was to evaluate the speed and accuracy of ChatGPT-3.

Clinical and radiological implications of subpotent generic fingolimod in multiple sclerosis: a case series.

An expansion in the availability of generic specialty disease modifying therapies (DMTs) for treatment of multiple sclerosis (MS) has increased recently. Generic specialty medications aim to provide greater access to molecules that alter the disease trajectory at lower costs. The US Food and Drug Administration requires generic products to contain between 90% and 110% of the stated active ingredient and an 80%-125% bioequivalence range.

Dynamic Expansion and Contraction of Multiple Sclerosis T2-Weighted Hyperintense Lesions Are Present Below the Threshold of Visual Perception.

Background And Purpose: The study of T2-weighted hyperintense lesions resulting from autoimmune inflammatory injury and associated volumes within the CNS remains fundamental to the diagnosis and disease surveillance of MS. We investigated the dynamic changes of individual T2-weighted hyperintense MS lesions on MRI and hypothesized that variations may be present below the threshold of visual perception when evaluating longitudinal data.

Materials And Methods: A retrospective study was performed of people with MS, incorporating data from 3 consecutive MRI time points acquired within a single academic center.

Generative artificial intelligence versus clinicians: Who diagnoses multiple sclerosis faster and with greater accuracy?

Background: Those receiving the diagnosis of multiple sclerosis (MS) over the next ten years will predominantly be part of Generation Z (Gen Z). Recent observations within our clinic suggest that younger people with MS utilize online generative artificial intelligence (AI) platforms for personalized medical advice prior to their first visit with a specialist in neuroimmunology. The use of such platforms is anticipated to increase given the technology driven nature, desire for instant communication, and cost-conscious nature of Gen Z.

Underdosed generic specialty medications: A prescription for patient harm?

The use of generic specialty medications amongst individuals with multiple sclerosis (MS) has expanded due to an increase in the number of available agents. We describe a woman who was denied continued use of brand name teriflunomide (Aubagio), despite being clinically stable for 2.5 years, and switched to generic teriflunomide.

Treatment transitions in neuromyelitis optica spectrum disorder increase risk for disease advancement.

Background: People with neuromyelitis optica spectrum disorder (PwNMOSD) commonly switch between disease modifying therapies, yet the consequence of transitions remains unknown. We aimed to understand if treatment transitions due to medical, non-medical, and tolerability reasons were related to disease progression.

Methods: A retrospective study of medical records for PwNMOSD was performed between 2008 and 2022.

Errorful learning improves recognition memory for new vocabulary for people living with memory and dysexecutive impairment following brain injury.

A widely accepted view is that errorless learning is essential for supporting new learning in people with anterograde amnesia, but findings are mixed for those with a broader range of memory impairments. People at a chronic stage of recovery from brain injury (BI) with impaired memory and executive function ( = 26) were compared with adults in a comparison group without any known risks to brain function ( = 25). Learning techniques were compared using a "Generate-and-correct" and "Read-only" condition when learning novel word pairs.

High-efficacy therapies reduce clinical and radiological events more effectively than traditional treatments in neuromyelitis optica spectrum disorder.

Background: People with neuromyelitis optica spectrum disorder (pwNMOSD) experience debilitating neurological attacks, resulting in permanent disability.

Objective: To evaluate if high-efficacy treatment was better than traditional agents at preventing disease advancement in pwNMOSD.

Methods: A retrospective study of pwNMOSD at one academic center was performed.

Factors associated with the misdiagnosis of neuromyelitis optica spectrum disorder.

Background: Neuromyelitis optica spectrum disorder (NMOSD) is a rare autoimmune condition that is associated with severe disability. Approximately 40% of individuals are misdiagnosed with multiple sclerosis (MS) or other diseases. We aimed to define factors that influence the misdiagnosis of people with NMOSD and provide strategies for reducing error rates.

Dorsal medulla surface texture: Differentiating neuromyelitis optica spectrum disorder from multiple sclerosis.

Background And Purpose: The timely and accurate diagnosis of neuromyelitis optica spectrum disorder (NMOSD) is essential and exposure to multiple sclerosis (MS) disease-modifying therapies may result in permanent neurological disability.

Methods: Standardized 3-Tesla 3-dimensional brain MRI studies were retrospectively studied from people with NMOSD, MS, other CNS neurological diseases, and healthy control subjects. Comparisons of surface texture characteristics at the area postrema involving absolute introverted planar triangle counts, representing more complex and concave tissue topography, along with the spatial dissemination pattern of these triangles were performed cross-sectionally and longitudinally.

Evaluating Cognitive Enrichment for Zoo-Housed Gorillas Using Facial Recognition.

The use of computer technology within zoos is becoming increasingly popular to help achieve high animal welfare standards. However, despite its various positive applications to wildlife in recent years, there has been little uptake of machine learning in zoo animal care. In this paper, we describe how a facial recognition system, developed using machine learning, was embedded within a cognitive enrichment device (a vertical, modular finger maze) for a troop of seven Western lowland gorillas () at Bristol Zoo Gardens, UK.

Hiding in plain sight: The magnitude of unused disease modifying therapies in multiple sclerosis and strategies for reducing the economic burden of care.

Background: The rising costs associated with multiple sclerosis (MS) disease modifying therapies (DMTs) creates challenges for patients and the healthcare system in the United States (U.S.).

Instrumental responses and Pavlovian stimuli as temporal referents in a peak procedure.

Three experiments investigated whether the nature of the temporal referent affects timing behaviour in rats. We used a peak procedure and assessed timing of food well activity as a function of whether the referent was an instrumental response (a lever press that resulted in the withdrawal of the lever) or a conditioned stimulus (CS) that was 2 s in Experiment 1, 500 ms in Experiment 2, and 800 ms in Experiment 3. In all experiments, the interval between the offset of the temporal referent and food was 5 s.

High-Tech and Tactile: Cognitive Enrichment for Zoo-Housed Gorillas.

The field of environmental enrichment for zoo animals, particularly great apes, has been revived by technological advancements such as touchscreen interfaces and motion sensors. However, direct animal-computer interaction (ACI) is impractical or undesirable for many zoos. We developed a modular cuboid puzzle maze for the troop of six Western lowland gorillas () at Bristol Zoo Gardens, United Kingdom.