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Safety and User Experience of a Generative Artificial Intelligence Digital Mental Health Intervention: Exploratory Randomized Controlled Trial
CONCLUSIONS: This trial provides initial evidence that, with the right guardrails and process, generative AI can be successfully used in a digital mental health intervention (DMHI) while maintaining the user experience and relationship. It also provides an initial blueprint for approaches to technical and conversational guardrails that can be replicated to build a safe DMHI. →
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An App-Based WHO Mental Health Guide for Depression Detection: A Cluster Randomized Clinical Trial
CONCLUSIONS AND RELEVANCE: This feasibility cluster randomized clinical trial demonstrated that the use, cost, and potential clinical benefit of the e-mhGAP-IG varied by setting, highlighting the importance of multisite feasibility studies when evaluating digital innovations intended for health care systems worldwide. →
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Efficacy of a 1% ibuprofen nanostructured topical gel in reducing in-office bleaching sensitivity following 35% hydrogen peroxide application: a randomized, controlled, triple-blind, split-mouth clinical trial
CONCLUSION: The novel 1% ibuprofen nanostructured topical gel was ineffective in reducing BS and did not affect tooth color change. →
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Exploring Neurobiological Effects of Intermittent Theta-Burst Stimulation on the Left Cerebellum for Post-stroke Unilateral Neglect: A Preliminary Transcranial Magnetic Stimulation-Electroencephalography Investigation
Unilateral neglect (UN) is a frequent consequence of stroke, for which effective therapeutic interventions are yet to be definitively established. This study aims to assess the therapeutic potential of intermittent theta-burst stimulation (iTBS) applied to the contralesional cerebellum in reducing UN symptoms. Additionally, it seeks to clarify the neurophysiological mechanisms involved, thereby supporting the development… →
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Clinical and radiographic evaluation of Er: YAG laser-assisted direct pulp capping in permanent teeth with carious exposure
CONCLUSION: The inclusion of Er: YAG laser in DPC procedures enhances treatment outcomes, particularly when combined with Biodentine. This approach offers a promising alternative for vital pulp therapy in mature permanent teeth, ensuring better dentin bridge formation and clinical success. →
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Advancing dementia preparedness in Low and Middle Income countries: A randomized trial to improve diagnosis in primary care
INTRODUCTION: Dementia disproportionately affects individuals in low- and middle-income countries (LMICs), yet diagnostic capabilities there are often inadequate. This study assesses the impact of a structured training program for primary care physicians (PCPs) in Cuba to improve early dementia detection. →
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The impact of Limosilactobacillus reuteri in combination with non-surgical periodontal therapy on periodontal clinical parameters and salivary and subgingival microbiota composition in individuals with stage III-IV periodontitis: a randomized controlled trial
CONCLUSIONS: Combining L. reuteri with non-surgical periodontal therapy may not directly improve clinical indicators. The treatment showed potential benefits by changing the microbial composition of subgingival biofilm and enhancing treatment sensitivity. →
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Efficacy and safety of prophylactic simultaneous intravitreal moxifloxacin injection with standard intravitreal anti-VEGF injection procedure in cases of cystoid macular edema and macular neovascularization
CONCLUSION: Simultaneous intravitreal injection of moxifloxacin during intravitreal anti-VEGF procedure is safe and effective measure to be added to the armamentarium of prophylaxis against post injection endophthalmitis. →
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Researchers from the National University of Singapore Introduce ‘Thinkless,’ an Adaptive Framework that Reduces Unnecessary Reasoning by up to 90% Using DeGRPO
Introducing ‘Thinkless’: An Adaptive Framework for Efficient Language Model Reasoning Researchers from the National University of Singapore have developed a new framework known as Thinkless, designed to enhance the efficiency of language models by reducing unnecessary reasoning by up to 90%. This framework addresses a core challenge in current language models, where extensive reasoning processes… →
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Researchers Introduce MMLONGBENCH: A Comprehensive Benchmark for Long-Context Vision-Language Models
Researchers Introduce MMLONGBENCH: A Comprehensive Benchmark for Long-Context Vision-Language Models Recent advances in long-context (LC) modeling have significantly enhanced the capabilities of large language models (LLMs) and large vision-language models (LVLMs). Long-context vision-language models (LCVLMs) are now capable of processing hundreds of images and thousands of interleaved text tokens in a single forward pass. However,… →