Readable research linked to original sources
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Browse normalized, publication-ready research with direct links to its evidence and source.
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Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
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Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
43 articles
Newest firstBackground An estimated 5 to 8 million US children live with a parent who uses cannabis, and most cannabis users report smoking cannabis inside their homes, placing children at risk for cannabis secondhand smoke (cSHS) exposure. Indoor air quality (IAQ) monitoring provides real-time feedback on airborne pollutants and has shown promise in reducing in-home tobacco secondhand smoke exposure, suggesting its potential…
Open article record in new tab ↗Introduction Tobacco use is disproportionately prevalent among people living with HIV (PWH) and is a significant contributor to morbidity and mortality in this population. Reaching communities of PWH to facilitate smoking cessation is challenging. Digital Therapeutics (DTx) can facilitate widespread implementation and adoption of smoking cessation treatments for PWH. Methods We compared the feasibility and accepta…
Background Over the past 2 decades, global rates of cannabis use have risen significantly, especially among young adults. This has corresponded to an increase in cannabis-related problems and hospitalizations. Thus, there has been significant interest in developing new interventions that can help facilitate cannabis cessation and reduce hospitalization rates. Specifically, mobile apps have emerged as scalable and…
Background Machine learning (ML) has growing potential to support early identification of high-risk pregnancies in resource-constrained settings. However, most studies focus on model development and predictive performance, with less attention to the health-system processes required to generate ML-ready data and translate risk information into clinical action. The Mlinde Mama Project in Tanzania combined Group Ante…
Background: Digital health technologies, spanning mobile applications, telemedicine, and AI-driven platforms, are rapidly reshaping healthcare delivery globally. Although Generation Z university students are classified as digital natives, empirical data evaluating their eHealth literacy, technology acceptance, and specific trust barriers in developing South Asian nations like Sri Lanka remain scarce. Objective: Th…
Open article record in new tab ↗BackgroundChat-based digital clinics are increasingly integrated into public primary care. This study evaluates a 24/7 chat-based digital clinic integrated into Harjun terveys, Paijat-Hame, Finland. MethodsData from 2,796,976 primary care encounters recorded between 2019 and 2025 were used to examine care patterns following the digital clinics introduction. ResultsCoverage fell from 36.5% in 2019 to 32.1% in 2020,…
Open article record in new tab ↗BackgroundNon-communicable diseases (NCDs) represent a critical public health challenge in Kenya, responsible for over 50% of inpatient admissions and 40% of deaths. While digital health tools and artificial intelligence offer promising ways to improve prevention, diagnosis, and management, little is known about how these tools are perceived and used in practice. There is limited research exploring the views and l…
BackgroundSouth Africas public healthcare system serves most of the population through approximately 3,900 primary healthcare clinics characterised by long waiting times and high volumes of repeat-prescription visits. No published pre-arrival digital triage system operates across all 11 official South African languages while aligning with the South African Triage Scale (SATS). This paper reports the design and pre…
Open article record in new tab ↗BackgroundContinuous Quality Improvement (CQI) is a core strategy for strengthening health systems, yet documentation and monitoring of CQI activities remain fragmented in many low- and middle-income country (LMIC) settings. In Jamaica, CQI has been institutionalized across priority programs, but it largely relies on paper-based tools and basic digital platforms that limit timely learning and oversight. To address…
BackgroundResearch supporting the use of digital platforms to increase efficiency in clinical settings has emerged and yet implementation remains a challenge. This can be explained by the unique needs of clinics for data collection and electronic medical record integration. ObjectiveTo identify how screening and monitoring of Rheumatoid Arthritis patients through a customized electronic platform, cliexa-RA impacts…
Open article record in new tab ↗IntroductionTimely, protocol-adherent clinical decisions are crucial for reducing neonatal mortality in low-resource settings. Translating extensive national guidelines into bedside practice remains challenging. ObjectiveWe developed and evaluated AIFYA, a human-supervised, large language model (LLM)-based clinical decision support system (CDSS) aligned with Kenyas national newborn care protocols. MethodsThis pros…
Wearable devices present transformative opportunities for personalized healthcare through continuous monitoring of digital biomarkers; however, individual variations in device wear time could mask or otherwise impact signal identification. Despite the widespread adoption of wearable devices in research, no comprehensive framework exists for understanding how wear time varies across populations or for addressing we…
Open article record in new tab ↗Withdrawal StatementThis article has been withdrawn by medRxiv because it was submitted with false information.
Open article record in new tab ↗Cannabis use is common among US youth who become involved in the juvenile legal system (JLS), yet substance use treatment rates remain low, particularly among youth diverted away from formal JLS involvement. Diverted youth encounter multiple barriers to receiving services in the community that could be addressed via digital approaches offered by the JLS. This multiphase work details development of the TECH (Teen E…
Introduction Adhering to treatment plans can be challenging for medical cannabis patients. According to the constrained-disorder principle (CDP), biological systems are defined by their degree of variability. CDP-based second-generation artificial intelligence (AI) systems use personalized variability signatures to improve chronic medication response. Aim We retrospectively analyzed real-world data regarding chron…
Open article record in new tab ↗Background Although rates of tobacco use in California have declined overall, adults in the San Joaquin Valley (SJV), particularly Hispanic or Latinos ("Latinos"), have disproportionately high rates of tobacco use, tobacco-related illness, and mortality. Residents of the SJV also have limited access to cessation support services and need accessible, nonclinical alternatives. Given high smartphone use rates among L…
ObjectivesTo determine whether neurorehabilitation can be enhanced through regional implementation of group-based telerehabilitation, we implemented the NeuroRehabilitation OnLine (NROL) innovation regionally and evaluated scale-up from a systems perspective. DesignObservational, exploratory evaluation using a mixed methods convergent parallel design. SettingStroke and neurological rehabilitation services from fou…
ObjectiveTo examine stakeholder experiences of remote neurology outpatient care and to co-produce an evidence-based framework to support safe, equitable and sustainable service delivery. MethodsWe undertook an inductive thematic analysis of free-text responses from three national surveys: a patient and carer survey conducted by The Neurological Alliance (2021; n = 2,463) and two surveys of neurologists conducted b…
Open article record in new tab ↗BackgroundAsthma is frequently misdiagnosed because clinic-based tests miss its natural variability. As part of early stakeholder engagement, we examined primary-care healthcare professionals (HCP) views on using handheld spirometer and fractional exhaled nitric oxide (FeNO) devices for home-based diagnostic strategies. MethodsThis mixed-method study was conducted in two phases. Phase 1 data collection involved tw…
Open article record in new tab ↗ObjectivesThe aim of the present study is to systematically investigate the phenomenon of Conformity Bias in contemporary LLMs, specifically evaluating how repeated probing with incorrect information influences model outputs in a clinical context. Methods4 LLMs including GPT-4o, Gemini-1.5 Flash, Claude-3 Haiku, and GPT-o1 were systematically evaluated through 20 clinical questions focused on ocular disease treatm…
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