Current Neurology and Neuroscience Reports, Год журнала: 2025, Номер 25(1)
Опубликована: Май 9, 2025
Язык: Английский
Current Neurology and Neuroscience Reports, Год журнала: 2025, Номер 25(1)
Опубликована: Май 9, 2025
Язык: Английский
Journal of the American Medical Informatics Association, Год журнала: 2025, Номер unknown
Опубликована: Март 14, 2025
Artificial Intelligence (AI)-based approaches for extracting Social Drivers of Health (SDoH) from clinical notes offer healthcare systems an efficient way to identify patients' social needs, yet we know little about the acceptability this approach patients and clinicians. We investigated patient clinician through interviews. interviewed primary care experiencing needs (n = 19) clinicians 14) their "SDoH autosuggest," AI-based SDoH notes. presented storyboards depicting asked participants rate discuss rationale. Participants rated autosuggest moderately acceptable (mean 3.9/5 patients; mean 3.6/5 clinicians). Patients' ratings varied across domains, with substance use most employment least acceptable. Both groups raised concern information integrity, actionability, impact on interactions relationships, privacy. In addition, transparency, autonomy, potential harm, whereas usability. Despite reporting moderate envisioned approach, expressed multiple concerns AI that extract SDoH. emphasized need high-quality data, non-intrusive presentation methods, clear communication strategies regarding sensitive needs. Findings underscore importance engaging mitigate unintended consequences when integrating into care. Although like hold promise efficiently identifying notes, they must also account ensure these are do not undermine trust.
Язык: Английский
Процитировано
0IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 203 - 220
Опубликована: Март 7, 2025
This chapter explores how technology is transforming cancer education and support for survivors healthcare providers. It covers innovations like mobile apps, telemedicine, AI, virtual reality, social media, highlighting their impact on sharing information, offering support, delivering care. Through literature reviews, case studies, research, the assesses effectiveness of these tools in improving patient outcomes, enhancing provider education, creating a more connected care community. also addresses challenges digital literacy, accessibility, data privacy, insights professionals, policymakers, tech developers to optimize
Язык: Английский
Процитировано
0MedComm, Год журнала: 2025, Номер 6(5)
Опубликована: Апрель 22, 2025
ABSTRACT Glioma subtyping is crucial for treatment decisions, but traditional approaches often fail to capture tumor heterogeneity. This study proposes a novel framework integrating multiplex immunohistochemistry (mIHC) and machine learning glioma prognosis prediction. 185 patient samples from the Huashan hospital cohort were stained using multi‐label mIHC panel analyzed with an AI‐based auto‐scanning system calculate cell ratios determine proportion of positive cells various markers. Patients divided into two cohorts (training: N = 111, testing: 74), model was then developed validated subtype classification The identified distinct subtypes significant differences in prognosis, clinical characteristics, molecular profiles. high‐risk subtype, associated older age, poorer outcomes, astrocytoma/glioblastoma, higher grades, elevated mesenchymal scores, inhibitory immune microenvironment, exhibited IDH wild‐type, 1p19q non‐codeletion, MGMT promoter unmethylation, suggesting chemotherapy resistance. Conversely, low‐risk characterized by younger better astrocytoma/oligodendroglioma, lower favorable profiles (IDH mutation, codeletion, methylation), indicated sensitivity. mIHC‐based enables rapid classification, facilitating tailored strategies accurate prediction, potentially improving management outcomes.
Язык: Английский
Процитировано
0Опубликована: Апрель 16, 2025
Язык: Английский
Процитировано
0Current Neurology and Neuroscience Reports, Год журнала: 2025, Номер 25(1)
Опубликована: Май 9, 2025
Язык: Английский
Процитировано
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