(acceptable risk)
121,582 results
  • Effectiveness of Chatbots in Mental Health Screening and Assessment: Systematic Review. [Systematic Review]
    JMIR Ment Health. 2026 Oct 06; 13:e93672.Morales Gil I, Marti-Estevez I, … Quintero JJM
  • CONCLUSIONS: Chatbots and AI conversational agents demonstrate clinically relevant performance in mental health screening and assessment. However, safe implementation requires clear clinical protocols, professional supervision, integration with electronic health records, and active mitigation of algorithmic bias. These technologies should complement rather than replace clinical judgment.
  • Cytomegalovirus DNAemia After Pediatric Liver Transplantation: Clinical Characteristics, Risk Factors, and Outcomes. [Journal Article]
    Pediatr Infect Dis J. 2026 Oct 06. [Online ahead of print]Arga G, Kuloglu Z, … Çiftçi EPI
  • CONCLUSIONS: CMV DNAemia was common, but only one-third of episodes required antiviral treatment, and no tissue-invasive disease occurred. Younger recipients and those requiring pretransplant intensive care were at increased risk for clinically significant CMV infection. CMV DNAemia alone should not be considered a surrogate for clinically significant infection, supporting individualized, risk-adapted surveillance and prevention in pediatric liver transplant recipients.
  • Predictors of self-rated health in older adults: insights from an anchoring vignettes study. [Journal Article]
    Eur J Ageing. 2026 Oct 06; 23(1).Thune K, Falk Erhag H, … Solevid MEJ
  • Self-rated health is one of the most used measures of subjective health in research. At the same time, it presents several methodological challenges. Self-rated health requires individuals to translate their complex, multifaceted health experiences into a single response on the self-rated health scale. When different groups interpret and rate their health differently e.g. by gender or birth cohor…
  • Adjunctive hyperbaric oxygen therapy in high-risk oculoplastic reconstructions requiring graft-based surgery: a retrospective case series. [Journal Article]
    Int Ophthalmol. 2026 Oct 06; 46(1).Uyanik I, Topcu H, … Cabuk KSIO
  • CONCLUSIONS: In a heterogeneous cohort of high-risk oculoplastic reconstructions requiring grafting-including orbital implant exposure repair and complex inflammatory, infectious, or traumatic etiologies-adjunctive HBOT was used as a supportive modality and was associated with acceptable healing outcomes. The longer recovery observed with extended (20-session) HBOT courses likely reflects greater baseline disease severity rather than a reduced treatment effect. Given the retrospective design and clinical heterogeneity, further studies are needed to clarify patient selection criteria and define optimal HBOT protocols in oculoplastic reconstruction.
  • Trifluoroacetic acid (TFA) in grain products from the US supermarkets. [Journal Article]
    Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2026 Oct 06; :1-8. [Online ahead of print]Sapozhnikova Y, Antle JFA
  • A targeted analytical method for seven short- and ultra-short chain per- and polyfluoroalkyl substances (PFAS) was developed and validated in grain products using LC-MS/MS. The method is simple and robust, with validation results demonstrating acceptable recoveries and reproducibility. The validated method was applied to a variety of grain products commonly consumed in the United States, includin…
  • Clinical evaluation of three deep learning contouring models for head and neck organs at risk and lymph node levels. [Journal Article]
    Tech Innov Patient Support Radiat Oncol. 2026 Dec; 40:100437.Miovecz A, Nagy B, … Lakosi FTI
  • CONCLUSIONS: All three models produced contours of clinically usable quality apart from Model D on the esophagus and the spinal canal. Models L and C were not statistically different throughout. Model D differed from both on the esophagus and the spinal canal, where it applies a narrower anatomical definition, and was the most accurate model on the remaining five OARs, though that advantage was only partly confirmed when the analysis was restricted to reference contours independent of the models. Model C gave the most predictable lymph node output: the narrowest spread and the only volumes not differing significantly from the expert reference. Deep learning contouring models significantly improve head and neck treatment planning efficiency by providing clinically acceptable accuracy in a fraction of the time required for manual contouring.