Background To assess quality of life and unmet needs after stroke, patient-reported outcome
measures (PROMs) have gained increasing attention. However, patients' perspectives on …

Background Artificial intelligence, particularly chatbot systems, is becoming an instrumental
tool in health care, aiding clinical decision-making and patient engagement. Objective This …

Background Although patients have easy access to their electronic health records and
laboratory test result data through patient portals, laboratory test results are often confusing …

Efforts to control medical care costs have focused on reducing the number of specialists
directing patient care. This cross-sectional survey evaluated multiple sclerosis patient …

Objective Telephone-based neuropsychological assessment (TeleNP) has been shown to
be a valid alternative to in-person or video-based assessment. However, there is limited …

BACKGROUND: Nurses play an essential role in coordinating the care of patients with
multiple sclerosis (MS) throughout their disease trajectory in a complex treatment landscape …

Background Artificial intelligence (AI) is progressively influencing healthcare sectors,
including pediatric neurology. This paper aims to investigate the potential and limitations of …

Background Multiple sclerosis (MS) is a complex disease with many therapeutic options.
Little is known about how neurologists select particular disease-modifying therapies (DMTs) …

CME/CNE Information Activity Available Online: To access the article, post-test, and
evaluation online, go to https://www. highmarksce. com/mscare. Target Audience: The target …

Background Large language model (LLM)–based artificial intelligence chatbots direct the
power of large training data sets toward successive, related tasks as opposed to single-ask …