IEEE Pulse最新文献_第2页

A Substance Use Disorder Virtual Treatment and Research Platform: A Proof of Concept. 物质使用障碍虚拟治疗和研究平台：概念验证。

IF 0.2 4区医学

IEEE Pulse Pub Date : 2025-11-01 DOI: 10.1109/MPULS.2025.3640837

Tyler S Oesterle, Nicholas L Bormann, Mark A Lifson, Katina Michael

{"title":"A Substance Use Disorder Virtual Treatment and Research Platform: A Proof of Concept.","authors":"Tyler S Oesterle, Nicholas L Bormann, Mark A Lifson, Katina Michael","doi":"10.1109/MPULS.2025.3640837","DOIUrl":"10.1109/MPULS.2025.3640837","url":null,"abstract":"Substance use disorders (SUDs) remain a major public health challenge, exacerbated by limited access to care, low treatment engagement, and the disruption of services during the COVID-19 pandemic. Mobile phone applications (MPAs) offer a scalable mechanism for delivering behavioral health interventions; however, existing apps suffer from low engagement, limited methodological rigor, and inflexibility for research and clinical adaptation. This article presents Senyo, a proof-of-concept virtual treatment and research platform designed to support individuals with SUD while enabling systematic evaluation of mobile therapeutic strategies. The platform integrates an extensible mobile application with secure web-based portals for providers and researchers, enabling the delivery of asynchronous cognitive behavioral therapy (CBT) content, activity-based goals, and a token-economy-based contingency management (CM) reward system. Social reinforcement is incorporated through clinician messaging and tele-support, enhancing engagement and adherence. The researcher interface allows for real-time modification of modules, surveys, goals, and incentives without additional app development, facilitating blinded, randomized, and comparative studies within a single platform. The system is designed to be HIPAA compliant and aligned with emerging regulatory frameworks for software as a medical device. This work demonstrates the feasibility of a flexible, research-ready digital therapeutic infrastructure and outlines its potential to improve engagement, support evidence-based care, and advance rigorous evaluation of mobile interventions for SUD and related behavioral health conditions.","PeriodicalId":49065,"journal":{"name":"IEEE Pulse","volume":"16 6","pages":"53-63"},"PeriodicalIF":0.2,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147370573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Liquid and Synthetic Biopsies Are Poised to Rewrite Cancer Care. 液体和合成活检将改写癌症治疗。

IF 0.2 4区医学

IEEE Pulse Pub Date : 2025-11-01 DOI: 10.1109/MPULS.2025.3640838

Mary Bates

引用次数: 0

Engineering Better Cancer Care in Low and Middle-Income Countries. 在低收入和中等收入国家设计更好的癌症治疗。

IF 0.2 4区医学

IEEE Pulse Pub Date : 2025-11-01 DOI: 10.1109/MPULS.2025.3640849

Muhammad Hamid Zaman

引用次数: 0

Lighting the Way to Treat Advanced Stomach Cancer. 点亮晚期胃癌的治疗之路。

IF 0.2 4区医学

IEEE Pulse Pub Date : 2025-11-01 DOI: 10.1109/MPULS.2025.3640842

Kristina Grifantini

引用次数: 0

Industry Corner Live With AngioDynamics CEO Jim Clemmer. 与血管动力学首席执行官吉姆克莱默的行业角现场直播。

IF 0.2 4区医学

IEEE Pulse Pub Date : 2025-11-01 DOI: 10.1109/MPULS.2025.3640869

Chad Andresen

引用次数: 0

Results in a Week to a Month. 结果在一个星期到一个月。

IF 0.2 4区医学

IEEE Pulse Pub Date : 2025-11-01 DOI: 10.1109/MPULS.2025.3640857

Leslie Mertz

引用次数: 0

Detecting Role Impersonation in AI-Generated Clinical Oncology Text Using Knowledge Graphs. 利用知识图谱检测人工智能生成的临床肿瘤学文本中的角色模拟。

IF 0.2 4区医学

IEEE Pulse Pub Date : 2025-11-01 DOI: 10.1109/MPULS.2025.3640870

Amar Banerjee, Arnab Roy

{"title":"Detecting Role Impersonation in AI-Generated Clinical Oncology Text Using Knowledge Graphs.","authors":"Amar Banerjee, Arnab Roy","doi":"10.1109/MPULS.2025.3640870","DOIUrl":"10.1109/MPULS.2025.3640870","url":null,"abstract":"Large language models (LLMs) are increasingly used in oncology for drafting radiology reports, pathology summaries, tumor-board notes, and clinical trial documentation. While their fluency and contextual adaptability enable workflow acceleration, such linguistic proficiency can conceal a critical risk: impersonation of oncologists or cancer researchers by mimicking professional tone without adhering to oncologic reasoning or procedural logic. This work presents a framework for detecting domain-level role impersonation in AI-generated oncology communication. Central to our method is the role impersonation index (RII), a composite metric that quantifies semantic fidelity and procedural coherence (PC) by aligning generated content with expert knowledge encoded in structured ontologies such as SNOMED CT, UMLS, and cancer-specific resources, including NCIt and OncoTree. Evaluated on 4,800 clinical oncology notes, balanced between human and AI authorship, our framework identifies inconsistencies in tumor terminology, diagnostic staging, biomarker logic, and therapeutic sequencing without relying on superficial linguistic cues, achieving an $F1$ -score of 94% and an AUROC of 0.96. By embedding cancer-domain semantics and established clinical workflows into the detection process, the proposed approach provides a principled safeguard for the trustworthy integration of generative AI in oncology practice. To our knowledge, this is the first framework that integrates knowledge-graph alignment with procedural logic scoring to detect role impersonation in cancer-related clinical documentation.","PeriodicalId":49065,"journal":{"name":"IEEE Pulse","volume":"16 6","pages":"75-86"},"PeriodicalIF":0.2,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147370507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Innovations in Cancer: Laser Light, AI, and Micromaterials. 癌症的创新：激光、人工智能和微材料。

IF 0.2 4区医学

IEEE Pulse Pub Date : 2025-11-01 DOI: 10.1109/MPULS.2025.3640845

Jim Banks

引用次数: 0

Edge AI Is Reimagining What Home Cancer Care Can Be. 边缘人工智能正在重塑家庭癌症护理的方式。

IF 0.2 4区医学

IEEE Pulse Pub Date : 2025-11-01 DOI: 10.1109/MPULS.2025.3640852

Nathan Allen-Zimmerer

引用次数: 0

Bubbling Tumors Into Oblivion. 冒泡肿瘤被遗忘。