Publications by authors named "M SRINIVASAN"

Objective: To evaluate health outcomes associated with a Food is Medicine (FIM) intervention.

Design: Single group prepost design.

Participants: Patients with food insecurity at a Federally Qualified Health Center who had a nutrition-related health condition (n = 134).

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Objective: To evaluate the clinical and biomarker outcomes of photodynamic therapy (PDT) as an adjunct to non-surgical mechanical debridement (MD) in the management of peri-implantitis, and to compare its efficacy to MD alone or other non-surgical treatment modalities.

Data And Sources: Electronic searches in PubMed, Web of Science, and CENTRAL were conducted. 4675 studies published until November 2023 were screened.

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Background The long-term success and durability of any dental ceramic material depends on how well they adhere to the resin cements. Though sandblasting of zirconia with abrasive particles is one of the most commonly used techniques to enhance the bond strength, surface damage and phase transition may affect the mechanical properties of zirconia. Hence alternative surface treatment methods using chemical agents, lasers, and silicone coatings can be employed.

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Objective:  The aim of this study was to compare the effectiveness of various cleaning protocols on the bond strength of dual-cure resin cement following temporary cementation.

Materials And Methods:  Fifty-two human third molars were sectioned to expose superficial dentin and divided into four groups: (1) fresh, noncontaminated dentin (control); (2) pumice cleaning; (3) pumice + sodium bicarbonate air polishing; and (4) pumice + 10-methacryloyloxydecyl dihydrogen phosphate (MDP) based cleaner. Groups 2, 3, and 4 were treated with noneugenol zinc oxide temporary cement, followed by their respective cleaning protocols.

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Red teaming, the practice of adversarially exposing unexpected or undesired model behaviors, is critical towards improving equity and accuracy of large language models, but non-model creator-affiliated red teaming is scant in healthcare. We convened teams of clinicians, medical and engineering students, and technical professionals (80 participants total) to stress-test models with real-world clinical cases and categorize inappropriate responses along axes of safety, privacy, hallucinations/accuracy, and bias. Six medically-trained reviewers re-analyzed prompt-response pairs and added qualitative annotations.

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