IEEE PulsePub Date : 2026-01-01DOI: 10.1109/MPULS.2026.3659245
Md Sameer Iqbal Chowdhury, Tsz-Chiu Au
{"title":"Assessing Vision-Language Models for Failure Detection in Robotic Manipulation.","authors":"Md Sameer Iqbal Chowdhury, Tsz-Chiu Au","doi":"10.1109/MPULS.2026.3659245","DOIUrl":"https://doi.org/10.1109/MPULS.2026.3659245","url":null,"abstract":"<p><p>Vision-language models (VLMs) offer transformative potential for robotics, but their deployment is constrained by performance limitations. In safety-critical manipulation, a model must recognize its own limitations to prevent a catastrophic failure. We conduct a systematic study of VLMs for robotic failure detection, evaluating six architectures on real-world trajectories. We put forward a decision-making process that allows a VLM to evaluate whether it can successfully complete a task, and if not, pause its operation and hand over the task to human operators. Our results show that well-calibrated VLMs can be trustworthy partners that know exactly when to ask for help.</p>","PeriodicalId":49065,"journal":{"name":"IEEE Pulse","volume":"17 1","pages":"63-65"},"PeriodicalIF":0.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147692799","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}
IEEE PulsePub Date : 2026-01-01DOI: 10.1109/MPULS.2026.3659871
Leslie Mertz
{"title":"Urine-Based Spectroscopy/AI Platform for Early Detection of Multiple Cancers.","authors":"Leslie Mertz","doi":"10.1109/MPULS.2026.3659871","DOIUrl":"https://doi.org/10.1109/MPULS.2026.3659871","url":null,"abstract":"<p><p>A new test uses artificial intelligence to identify cancer-indicative patterns of volatile organic compounds in urine. The test received U.S. FDA breakthrough device designation for early bladder cancer detection. The test is also designed for the early detection of other cancers including colorectal, stomach, pancreatic, prostate, kidney, bladder, breast, ovarian, cervical, and lung cancers.</p>","PeriodicalId":49065,"journal":{"name":"IEEE Pulse","volume":"17 1","pages":"10-14"},"PeriodicalIF":0.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147692920","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}
IEEE PulsePub Date : 2026-01-01DOI: 10.1109/MPULS.2026.3659254
Heena Rathore
{"title":"Trust Is the Bottleneck.","authors":"Heena Rathore","doi":"10.1109/MPULS.2026.3659254","DOIUrl":"https://doi.org/10.1109/MPULS.2026.3659254","url":null,"abstract":"<p><p>Artificial intelligence (AI) is transforming health care across diagnostic imaging, clinical decision support, and personalized medicine. However, despite rapid technical advances, trust remains the principal bottleneck limiting clinical adoption. This report synthesizes insights from the second IEEE EMBS Workshop on AI and Healthcare, which centered on the multidimensional nature of trust in medical AI systems. Through keynote demonstrations of AI-enabled ultrasound and an interdisciplinary panel discussion spanning medicine, computational oncology, defense research, and scientific publishing, the workshop examined trust as a construct grounded not only in accuracy, but also in transparency, accountability, and interpretability. Audience polling and case-based discussions revealed that public and clinical confidence in AI is conditional and context-dependent, particularly in high-stakes decision environments. The workshop highlighted key tensions between performance and explainability, emphasized the need for explicit accountability frameworks, and underscored the importance of lifecycle oversight from data provenance to post-deployment validation. As AI becomes increasingly embedded in clinical workflows, its impact will depend less on algorithmic capability alone and more on its ability to earn and sustain trust. The discussions reinforce a critical conclusion: trustworthy healthcare AI requires validation, human-centered design, interdisciplinary collaboration, and sustained governance to evolve from promising technology to a reliable clinical partner.</p>","PeriodicalId":49065,"journal":{"name":"IEEE Pulse","volume":"17 1","pages":"69-72"},"PeriodicalIF":0.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147692922","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}
IEEE PulsePub Date : 2026-01-01DOI: 10.1109/MPULS.2026.3659238
Leslie Mertz
{"title":"Suite of Ingestible Devices Opens Window to the Gut Nervous System, Microbiome.","authors":"Leslie Mertz","doi":"10.1109/MPULS.2026.3659238","DOIUrl":"https://doi.org/10.1109/MPULS.2026.3659238","url":null,"abstract":"<p><p>Ingestible capsules reveal gut neural signaling and microbiome dynamics through sensing and optogenetics.</p>","PeriodicalId":49065,"journal":{"name":"IEEE Pulse","volume":"17 1","pages":"26-32"},"PeriodicalIF":0.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147692832","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}
IEEE PulsePub Date : 2026-01-01DOI: 10.1109/MPULS.2026.3659236
Tejas Padliya
{"title":"From Episodic Screening to Continuous Insight: AI Architectures for Colorectal Care.","authors":"Tejas Padliya","doi":"10.1109/MPULS.2026.3659236","DOIUrl":"https://doi.org/10.1109/MPULS.2026.3659236","url":null,"abstract":"<p><p>Integrating wearables and clinical data to reshape colorectal cancer (CRC) prevention.Colorectal cancer (CRC) pathways are still dominated by episodic screening through colonoscopy and stool-based tests, despite growing access to consumer sensors and mobile computing. This article presents an end-to-end AI architecture for multimodal colorectal risk stratification that combines traditional screening data with passively collected activity patterns, heart rate variability, stool frequency logs, and nutrition context. We describe a layered design consisting of data ingestion, feature engineering, temporal modeling, risk scoring, and clinician-facing decision support. Implementation patterns are illustrated using cloud-native and edge components suitable for deployment in both high-resource and resource-constrained health systems. The article discusses issues such as bias, data sparsity, longitudinal drift, and integration with existing screening guidelines. As a result, it provides a reference model that future clinical and engineering teams can adapt when building continuous, AI-assisted colorectal screening and monitoring tools.</p>","PeriodicalId":49065,"journal":{"name":"IEEE Pulse","volume":"17 1","pages":"15-20"},"PeriodicalIF":0.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147692866","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}
IEEE PulsePub Date : 2026-01-01DOI: 10.1109/MPULS.2026.3659262
Jim Banks
{"title":"Finding Clarity in the Battle With Crohn's Disease.","authors":"Jim Banks","doi":"10.1109/MPULS.2026.3659262","DOIUrl":"https://doi.org/10.1109/MPULS.2026.3659262","url":null,"abstract":"<p><p>Early biologic therapy reshapes Crohn's outcomes as predictive biomarkers fall short.Crohn's disease is an increasingly prevalent but poorly understood condition. Data suggest that in the U.K. alone, 1 in 350 people have the disease and around 10,000 new cases are diagnosed each year, many of them young people. Treatment pathways traditionally take a bottom-up approach, starting with the steroids and moving up the 'therapeutic pyramid' through immunomodulators and then biologics such as infliximab and adalimumab. Nevertheless, a groundbreaking study in the U.K. by researchers at Cambridge University and NHS Trusts suggests that going for the stronger treatments early post-diagnosis might better control inflammation and, in the long run, be more cost-effective and yield better patient outcomes. Jim Banks investigates the pros and cons of changing the therapeutic pathway for a condition that keeps creating one conundrum after another.</p>","PeriodicalId":49065,"journal":{"name":"IEEE Pulse","volume":"17 1","pages":"6-9"},"PeriodicalIF":0.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147692921","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}
IEEE PulsePub Date : 2026-01-01DOI: 10.1109/MPULS.2026.3659241
Chad Andresen
{"title":"Industry Corner Live With Adaptyx Co-Founder and CEO Vijit Sabnis.","authors":"Chad Andresen","doi":"10.1109/MPULS.2026.3659241","DOIUrl":"https://doi.org/10.1109/MPULS.2026.3659241","url":null,"abstract":"<p><p>Exploring the next generation of sensing nano-scale biomarkers with Adaptyx's latest revolution in molecular switches.</p>","PeriodicalId":49065,"journal":{"name":"IEEE Pulse","volume":"17 1","pages":"38-46"},"PeriodicalIF":0.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147692899","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}
{"title":"Nanomedicine Revolution: Tiny Tech With Big Impact on Health Care.","authors":"Nyi Nyi Tun, Bigit Krishna Goswami, Polat Goktas, Nicole Caballero Canchanya","doi":"10.1109/MPULS.2025.3640874","DOIUrl":"10.1109/MPULS.2025.3640874","url":null,"abstract":"<p><p>The nanomedicine revolution represents a paradigm shift in modern health care, leveraging nanoscale materials to achieve unprecedented precision, personalization, and performance in diagnosis and therapy. Emerging from Feynman's foundational vision of nanotechnology, nanomedicine integrates nanoengineering, materials science, and biotechnology to enable targeted drug delivery, advanced imaging, and regenerative applications. Nanoparticles (NPs) function as intelligent carriers that enhance bioavailability and minimize systemic toxicity, while nanoscale contrast agents redefine diagnostic accuracy through enhanced magnetic resonance imaging (MRI), computed tomography (CT), and photoacoustic imaging (PAI). In oncology and infectious diseases, nanomedicine's capacity for selective targeting and antimicrobial innovation is reshaping therapeutic outcomes. The convergence of nanotechnology with artificial intelligence (AI) and machine learning (ML) further facilitates predictive modeling, smart NP design, and real-time clinical decision-making. Despite persistent challenges in safety, scalability, and ethical regulation, nanomedicine is emerging as a cornerstone of precision health care, where \" tiny tech \" delivers an outsized impact on human health. Based on an extensive review of scientific studies published between 1964 and 2025, this article discusses the fundamental principles, biomedical applications, and transformative role of nanomedicine in shaping the next generation of personalized and precision medicine.</p>","PeriodicalId":49065,"journal":{"name":"IEEE Pulse","volume":"16 6","pages":"39-49"},"PeriodicalIF":0.2,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147370559","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}