3 results match your criteria: "Warren Alpert Brown School of Medicine[Affiliation]"

Medical research within areas of deep learning, particularly in computer vision for medical imaging, has shown promise over the past decade with an increasing volume of technical papers published in orthopaedics related to imaging artificial intelligence (AI). However, as more tools and models are developed and deployed, it is easy for clinicians to get overwhelmed with the different types of models, leaving "artificial intelligence" as an empty buzzword where true value can be unclear. As with surgery, the techniques of deep learning require thoughtful application and cannot follow a one-size-fits-all approach as different problems require differential levels of technical complexity with model application.

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Forcing ChatGPT and other large language models to perform roles reserved for physicians and other health care professionals-namely evaluation, management, and triage-poses a threat from regulatory, risk management, and professional perspectives. The clinical practice of medicine would benefit tremendously from automated administrative support with systems-based transparency and fluidity-not substitution for clinical diagnostics and decision making. ChatGPT and other large language models are not intended or authorized for clinical use, let alone to be tested or rubber stamped for this application.

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To study intravaginal diazepam suppositories as adjunctive treatment for high-tone pelvic floor dysfunction (HTPFD) and sexual pain. A retrospective chart review was conducted on 26 patients who received diazepam suppositories as adjuvant therapy to pelvic physical therapy and intramuscular trigger point injections for bladder pain, sexual pain, and levator hypertonus. Pelvic floor muscular tone and pain were assessed by palpation and perineometry; sexual pain was objectively rated by Female Sexual Function Index (FSFI) and the Visual Analog Scale for Pain (VAS-P).

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