Blog Archivi - Human insight

16 Novembre 2025

Electrohysterography in modern obstetrics: Advances in signal processing, machine learning, and clinical applications

By humaninsight

HumanInsight Electrohysterography in modern obstetrics: Advances in signal processing, machine learning, and clinical applications Artif Intell Med. 2025 Nov 11;171:103303. doi: 10.1016/j.artmed.2025.103303. Online ahead of print. ABSTRACT Electrohysterography (EHG) represents a promising computational approach for non-invasive monitoring of uterine activity during pregnancy and labor. This review summarizes the advancements in signal processing techniques and machine […]

16 Novembre 2025

Reducing health and cancer disparities: an environmental scan of three promising health care access interventions in Alberta, Canada

By humaninsight

HumanInsight Reducing health and cancer disparities: an environmental scan of three promising health care access interventions in Alberta, Canada BMC Health Serv Res. 2025 Nov 14;25(1):1469. doi: 10.1186/s12913-025-13583-y. ABSTRACT BACKGROUND: Cancer incidence and mortality in Canada have improved greatly over recent decades, but these improvements have not been equally distributed across all populations. This environmental […]

15 Novembre 2025

Implementing carotid ultrasound and Holter monitoring through telemedicine-based training in a stroke unit in Lusaka, Zambia

By humaninsight

HumanInsight Implementing carotid ultrasound and Holter monitoring through telemedicine-based training in a stroke unit in Lusaka, Zambia Neurol Res Pract. 2025 Nov 14;7(1):89. doi: 10.1186/s42466-025-00448-2. ABSTRACT BACKGROUND AND AIMS: Stroke remains a leading cause of mortality and disability in many low- and middle-income countries, where access to diagnostic and treatment resources is often severely constrained. […]

15 Novembre 2025

Mobile health interventions tailored to immigrant populations with diabetes: an integrative review

By humaninsight

HumanInsight Mobile health interventions tailored to immigrant populations with diabetes: an integrative review BMC Public Health. 2025 Nov 14;25(1):3954. doi: 10.1186/s12889-025-25241-3. ABSTRACT BACKGROUND: Immigrant populations face numerous barriers to accessing evidence-based diabetes interventions. Mobile health (mHealth) interventions are increasingly being used to support individuals in managing diabetes. This review aims to synthesize the available evidence […]

15 Novembre 2025

Effectiveness of telehealth versus face-to-face appointments in identifying complications following breast cancer surgery

By humaninsight

HumanInsight Effectiveness of telehealth versus face-to-face appointments in identifying complications following breast cancer surgery Support Care Cancer. 2025 Nov 14;33(12):1062. doi: 10.1007/s00520-025-10113-8. ABSTRACT PURPOSE: The aim of this prospective cohort study was to compare the identification of complications through telehealth versus face-to-face appointments following breast cancer surgery. Client satisfaction and acceptance of each appointment mode […]

15 Novembre 2025

Deep learning based medical image compression using cross attention learning and wavelet transform

By humaninsight

HumanInsight Deep learning based medical image compression using cross attention learning and wavelet transform Sci Rep. 2025 Nov 14;15(1):40008. doi: 10.1038/s41598-025-23582-y. ABSTRACT Efficient compression of medical images is vital for telemedicine and cloud-based healthcare, where bandwidth and storage constraints pose significant challenges. Conventional lossless approaches provide limited compression, whereas lossy techniques risk compromising diagnostic accuracy. […]

15 Novembre 2025

GPs' and medical practice assistants' learnings from the COVID-19 pandemic for future GP care: a qualitative interview study in Germany

By humaninsight

HumanInsight GPs' and medical practice assistants' learnings from the COVID-19 pandemic for future GP care: a qualitative interview study in Germany BJGP Open. 2025 Nov 14:BJGPO.2025.0075. doi: 10.3399/BJGPO.2025.0075. Online ahead of print. ABSTRACT BACKGROUND: The COVID-19 pandemic necessitated significant adaptations for General Practitioner (GP) practices, affecting healthcare services and workload. The mixed-methods study VeCo-Praxis was […]

15 Novembre 2025

Highly Coordinated Cochlear Implant Care With Remote Programming: Clinical, Financial, and Implementation Outcomes for the Complete Cochlear Implant Care (CCIC) Model

By humaninsight

HumanInsight Highly Coordinated Cochlear Implant Care With Remote Programming: Clinical, Financial, and Implementation Outcomes for the Complete Cochlear Implant Care (CCIC) Model Otol Neurotol. 2025 Nov 13. doi: 10.1097/MAO.0000000000004720. Online ahead of print. ABSTRACT OBJECTIVE: The Complete Cochlear Implant Care (CCIC) model is a highly coordinated care delivery model reducing and condensing in-person visits for […]

15 Novembre 2025

The Changing Landscape of the Providers of Home-Based Medical Care in Traditional Medicare

By humaninsight

HumanInsight The Changing Landscape of the Providers of Home-Based Medical Care in Traditional Medicare J Am Geriatr Soc. 2025 Nov 14. doi: 10.1111/jgs.70203. Online ahead of print. ABSTRACT BACKGROUND: As more older adults become homebound, home-based medical care (HBMC) has increased, but little is known about the HBMC workforce. This study analyzes national data on […]

15 Novembre 2025

Improving identification of SJS/TEN and its mimics across a large geographic area: Outcomes from a novel telemedicine collaboration

By humaninsight

HumanInsight Improving identification of SJS/TEN and its mimics across a large geographic area: Outcomes from a novel telemedicine collaboration J Am Acad Dermatol. 2025 Oct 24:S0190-9622(25)03065-8. doi: 10.1016/j.jaad.2025.10.070. Online ahead of print. NO ABSTRACT PMID:41235987 | DOI:10.1016/j.jaad.2025.10.070 Powered by WPeMatico

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eHealth

Electrohysterography in modern obstetrics: Advances in signal processing, machine learning, and clinical applications
Electrohysterography (EHG) represents a promising computational approach for non-invasive monitoring of uterine activity during pregnancy and labor. This review summarizes the advancements in signal processing techniques and machine learning algorithms that have been applied to enhance the utility of EHG. Key topics include the extraction and analysis of uterine electrical signals, classification of contractions, and […]
Telemedicine on the follow-up management of early referral patients with inflammatory arthritis in a limited-resource clinical setting
INTRODUCTION AND OBJECTIVES: Rheumatoid arthritis (RA) is a chronic inflammatory disease that requires continuous monitoring to optimize treatment outcomes and prevent long-term disability. Telemedicine has emerged as a promising strategy to improve access and continuity of care. This study aimed to evaluate the use of telemedicine as a follow-up tool in patients with newly diagnosed […]
Digital health in presymptomatic diseases
Most of widely available consumer devices like smartphones and tablets are equipped with various sensors that allow for detection of subtle and undetectable neurological impairment of various neurological functions like motricity, coordination, cognition, visual function or eye movements. This opens the perspective of earlier diagnosis of neurological diseases, even at the preclinical stage, which could […]
GPs' and medical practice assistants' learnings from the COVID-19 pandemic for future GP care: a qualitative interview study in Germany
CONCLUSION: As lessons learnt from the pandemic, GPs and MPAs must be adequately supported in their roles, interdisciplinary collaboration must be improved, and information flows and administrative processes must be more efficient to assure better pandemic-preparedness.
Deep learning based medical image compression using cross attention learning and wavelet transform
Efficient compression of medical images is vital for telemedicine and cloud-based healthcare, where bandwidth and storage constraints pose significant challenges. Conventional lossless approaches provide limited compression, whereas lossy techniques risk compromising diagnostic accuracy. To address these limitations, we introduce a novel hybrid compression framework that combines Discrete Wavelet Transform (DWT) with a deep Cross-Attention Learning […]
Effectiveness of telehealth versus face-to-face appointments in identifying complications following breast cancer surgery
CONCLUSION: Agreement levels for identifying swelling, cording, and pain via telehealth were deemed not acceptable. Improved questioning and screening practices are required to improve the detection of complications during telehealth appointments. This will ensure the accessibility of effective post-operative complication screening for all people post breast cancer surgery.
Mobile health interventions tailored to immigrant populations with diabetes: an integrative review
CONCLUSIONS: This review demonstrates the feasibility and acceptability of mHealth interventions for diabetes management among within immigrant populations. The findings suggest that these interventions may serve as a viable strategy to improve health, psychosocial, and behavioral outcomes. Future RCTs with larger sample sizes are needed to provide more robust evidence of the effectiveness of mHealth […]
Mobile health and postoperative self-care following glaucoma, cataract, or corneal transplant surgeries
CONCLUSIONS: The findings suggest that this mobile health application can effectively support education and enhance postoperative self-care among patients undergoing glaucoma, cataract, and corneal transplant surgeries. Overall, the "INOOR" application, with its integrated features, demonstrates considerable potential to improve self-care practices and reduce the workload of healthcare providers.
Implementing carotid ultrasound and Holter monitoring through telemedicine-based training in a stroke unit in Lusaka, Zambia
CONCLUSION: Innovative telemedical training approaches offer a transformative solution for addressing diagnostic and infrastructure challenges in stroke care, particularly in resource-constrained healthcare settings. Comprehensive research is crucial to optimize these programs and enhance medical capabilities across diverse healthcare environments.
Reducing health and cancer disparities: an environmental scan of three promising health care access interventions in Alberta, Canada
CONCLUSIONS: Three key lessons applicable to initiatives which aim to address disparities in cancer care were identified. These lessons emphasize the importance of simplifying implementation, securing leadership and stakeholders' support, and fostering partnerships and collaboration for program success.

eHealth

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