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ALSFRS-R trial analysis methods varied widely across ALS studies
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School aversion was linked to bullying, digital addiction, and suicide risk
Causal modeling reveals school aversion as both a consequence and driver of multiple psychiatric risks in clinically referred adolescents, suggesting targets for clinical intervention.
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“Who moved my heart brush?” Realms of the Heart: A Human-AI Collaborative Gamified Adjuvant Treatment Application for Depressed Teens Based on Painting Therapy
Gamified human-AI collaborative system integrating painting therapy reduces adolescent depression and increases motivation in randomized controlled trial.
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Machine learning showed promising accuracy for early PAS diagnosis
Review of machine learning techniques for early diagnosis of placenta accreta spectrum shows improved accuracy over conventional imaging methods, though generalizability challenges remain.
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Outcomes in partial nephrectomy depend on technique and tumor factors
Technical and surgical determinants of outcomes in minimally invasive partial nephrectomy for renal masses, emphasizing preoperative planning and intraoperative decision-making.
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Brazilian planned home birth care lacks national regulation
Scoping review of planned home birth care in Brazil provided by nurse-midwives and midwives, identifying barriers to regulation and integration into public health systems.
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Non-pregnancy SCAD showed low but significant in-hospital mortality
Analysis of 4,563 hospitalizations reveals significant sex and racial disparities in treatment patterns and mortality outcomes for non-pregnancy-associated spontaneous coronary artery dissection.
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Does Peer Review Need to Change? A Panel on Reporting Standards and Checklists in the Age of AI
Panel discussion on whether CHI should adopt formal reporting standards to improve research quality, transparency, and peer review processes, informed by experiences in adjacent fields.
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Multimodal imaging supports orthodontic diagnosis and collaborative oral care
Multimodal imaging fusion enhances orthodontic diagnostics and enables seamless collaboration among dental specialists through standardized data integration.
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Case-based learning with AI gamification raised motivation scores
Pilot study shows case-based learning with AI gamification significantly increases intrinsic motivation for One Health and climate change instruction in medical undergraduates.
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European respondents trusted health professionals most for app advice
Cross-sectional survey of 1228 European residents reveals health professionals are most trusted for app recommendations but informal sources are used more often in practice.
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Industry payments were linked to more brand-name MS prescribing
Pharmaceutical payments to clinicians correlated with reduced generic prescribing for MS medications, increasing costs for patients and the healthcare system overall.
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SIMG had marginal usability and low uptake among pregnant women
Pilot study of SIMG, a web-based pregnancy monitoring system in Brazil, reveals marginal usability and suboptimal uptake despite high willingness to use the tool in future pregnancies.
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AI scribes were linked to less EHR time and more visits
AI-powered medical scribes decrease EHR and documentation time for clinicians while modestly increasing weekly visit volume, suggesting incremental workflow efficiency gains.
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Urolithiasis prevalence is similar across Europe and lower in Latin America
European urolithiasis prevalence shows geographic and temporal stability while Latin American prevalence remains lower, indicating potential regional differences in disease risk factors.
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Diagnostic disclosure in acute care is not clearly defined
Concept analysis clarifying diagnostic disclosure in acute care, establishing definitions to measure and investigate this communication practice and its effects on patient outcomes.
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Training improved pediatric primary care mental health readiness
CME training model produces durable improvements in primary care clinicians' readiness to deliver pediatric mental health services, with reliable measurement tool for evaluating training outcomes.
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Machine-learning algorithms improved smoking identification in health records
Study comparing machine learning and rule-based algorithms for identifying smokers in administrative health data found ML models doubled sensitivity for detecting current smokers.
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Some medical chatbot answers may be unsafe
Physician-led evaluation of four large language model chatbots reveals unsafe medical advice rates from 5-13%, with potentially serious consequences for patient care.
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Pregnancy in familial hypercholesterolemia needs individualized care
Explore tailored management strategies for familial hypercholesterolemia in pregnancy, addressing evidence gaps and the need for stage-specific, individualized approaches to optimize maternal and.