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• Machine learning-based clinical models for prediction of urinary incontinence after robot-assisted laparoscopic radical prostatectomy.
  europepmc 2026 置信度 0.80
• Robot-assisted rehabilitation: Collaborating a smart avatar with an AAN controller.
  europepmc 2026 置信度 0.80
• A Multi-Task Learning Framework with Physics Embedded for Signal Reconstruction and State Prediction in Underground Multi-Robot Systems.
  europepmc 2026 置信度 0.80
• Vision-Based Human-Robot Handover System with Reinforcement Learning.
  europepmc 2026 置信度 0.80
• Walking on Rough Terrain with Any Number of Legs.
  europepmc 2026 置信度 0.80
• Robot-assisted vs. open ureteric reimplantation for pediatric vesicoureteral reflux: a systematic review and meta-analysis.
  europepmc 2026 置信度 0.80
• Comparison of the learning curves of the osteotomy guide robot and guide plate-based robot-assisted total knee arthroplasty.
  europepmc 2026 置信度 0.80
• Predicting Positive Surgical Margins in Robot-Assisted Prostatectomy Using Machine Learning Models.
  europepmc 2026 置信度 0.80
• Robotic hepatectomy for benign liver disease: single-centre consecutive series and meta-analysis comparing minimally invasive and open approaches.
  europepmc 2026 置信度 0.80
• Early Learning Curve of a Novice Surgeon in Robot-Assisted Pulmonary Resection: Assessment Using the Robot-Assisted Thoracic Surgery Assessment Tool (RATSAT), Derived From the Video-Assisted Thoracoscopic Surgery Assessment Tool (VATSAT).
  europepmc 2026 置信度 0.80
• Learning flight navigation like a honey bee.
  europepmc 2026 置信度 0.80
• Ultra-wideband radar to measure in vivo muscle forces.
  europepmc 2026 置信度 0.80
• Beyond imitation: Robots that learn to work in the real world.
  europepmc 2026 置信度 0.80
• Accuracy of Robot-Assisted Pedicle Screw Placement: Two-Center Experience with Learning Curve Analysis.
  europepmc 2026 置信度 0.80
• Towards standardized assessment of surgical difficulty in robotic hepatobiliary surgery: a comparative validation study.
  europepmc 2026 置信度 0.80
• When less is more: single selfhood-related cues elicit higher selfhood ratings than multiple cues.
  europepmc 2026 置信度 0.80
• Robotic breast-conserving surgery: a retrospective study of feasibility and patient-reported aesthetic outcomes in 88 patients.
  europepmc 2026 置信度 0.80
• Stable and Accurate Robot Trajectory Tracking Using Variable-Stiffness Euclideanizing Flow.
  europepmc 2026 置信度 0.80
• Dynamic variance-aware federated tuning for efficient autonomous vehicle perception under non-IID settings.
  europepmc 2026 置信度 0.80
• Transcrestal Sinus Floor Elevation Using Dental Implant Robot and Osseodensification Drills: A Preliminary Case Series.
  europepmc 2026 置信度 0.80
• Deep self-attention reinforcement learning adaptive gait planning and control for lower limb rehabilitation exoskeletons robot.
  europepmc 2026 置信度 0.80
• Charting the Development of Robot-Assisted Social-Emotional Learning: Mapping Its Intellectual Foundations, Thematic Foci, and Evolution.
  europepmc 2026 置信度 0.80
• A novel robot-assisted flexible ureteroscope system(RAFUS): design, learning curve, ergonomics, and preclinical feasibility.
  europepmc 2026 置信度 0.80
• A lightweight anonymous authentication scheme for federated learning.
  europepmc 2026 置信度 0.80
• Retraction Note: Reinforcement learning-driven deep learning approaches for optimized robot trajectory planning.
  europepmc 2026 置信度 0.80
• Development and implementation of a multifunctional mobile robot training kit in embedded control systems instruction in vocational education.
  europepmc 2026 置信度 0.80
• Robot-assisted Parotidectomy: Improved Clinical and Patient-Reported Outcomes.
  europepmc 2026 置信度 0.80
• Adaptive Safe Control for Bounded Rational Human-Robot Interaction Based on Reinforcement Learning and Reachability Analysis.
  europepmc 2026 置信度 0.80
• Analysis and development of the learning curve in robotic colorectal surgery at a specialized center.
  europepmc 2026 置信度 0.80
• Evaluating Patient Safety and Efficacy of Robot-Assisted Adrenalectomy: 90-Day Outcomes.
  europepmc 2026 置信度 0.80
• Exploring physiotherapists' experiences of implementing robot assisted gait training in a National Health Service inpatient neurorehabilitation setting: a qualitative study.
  europepmc 2026 置信度 0.80
• Editorial: Reinforcement learning for real-world robot navigation.
  europepmc 2026 置信度 0.80
• Beware of the plateau trap: a multidimensional analysis redefining the learning curve of robotic lobectomy in non-small cell lung cancer.
  europepmc 2026 置信度 0.80
• Design of dynamic adaptive control framework for exoskeleton robot driven by neuromuscular signal based on deep reinforcement learning.
  europepmc 2026 置信度 0.80
• EndoMatcher: Generalizable Endoscopic Image Matcher via Multi-Domain Pre-training for Robot-Assisted Surgery.
  Generalizable dense feature matching in endoscopic images is crucial for robot-assisted tasks, including 3D reconstruction, navigation, and surgical scene understanding. Yet, it remains challenging due to difficult visual conditions (e.g., weak textures, large…
  pubmed Yang B, Tian Q, Geng Y, Liao H 等 2026 Aug 6 置信度 0.82
• Employing machine learning techniques for non-invasive blood pressure classification using photoplethysmography signals.
  Regulating blood pressure (BP) effectively is vital for maintaining health and ensuring survival, yet elevation and fluctuation in BP can lead to significant health threats. Traditional methods for measuring BP, such as cuff-based and invasive procedures, can …
  pubmed Mohammadi H, Tarvirdizadeh B, Alipour K, Ghamari M 2026 Aug 6 置信度 0.82
• AI-powered robotic assistive technologies in rehabilitation: global trends, ethical dimensions and human-centred futures.
  The aim of this study is to examine global research trends, the conceptual framework and emerging research themes relating to artificial intelligence (AI)-supported robotic assistive technologies in the field of rehabilitation, through bibliometric and themati…
  pubmed Uyanık G, Bulut A, Serin MK 2026 Aug 6 置信度 0.82
• Monocular absolute depth estimation from endoscopy via domain-invariant feature learning and latent consistency.
  Monocular depth estimation (MDE) is a critical task to guide autonomous medical robots. However, obtaining absolute (metric) depth from an endoscopy camera in surgical scenes is difficult, which limits supervised learning of depth on real endoscopic images. Cu…
  pubmed Li H, Lu D, d'Almeida J, Isik D 等 2026 置信度 0.82
• EndoStreamDepth: Temporally Consistent Monocular Depth Estimation for Endoscopic Video Streams.
  This work presents EndoStreamDepth , a monocular depth estimation framework for endoscopic video streams. It provides accurate depth maps with sharp anatomical boundaries for each frame, temporally consistent predictions across frames, and real-time throughput…
  pubmed Li H, Lu D, Wang J, Webster RJ 3rd 等 2026 置信度 0.82
• Robotic Whole-graft Liver Transplant: Lesson Learned And Outcomes After 45 Cases.
  Robotic liver transplantation (RLT) represents the latest evolution in solid organ transplantation. While early reports demonstrated technical feasibility of whole-graft RLT, evidence on clinical outcomes benchmarked against established standards remains limit…
  pubmed Di Benedetto F, Magistri P, Coelho JS, Odorizzi R 等 2026 Aug 6 置信度 0.82
• [Gynecological cancer surgery: Is robotic surgery an advantage over conventional laparoscopy?].
  Minimally invasive surgery now plays a central role in the management of gynecologic cancers, particularly endometrial and cervical cancers. Among these approaches, robot-assisted surgery has progressively developed due to its potential technical advantages, i…
  pubmed Garin C, Schoenen S, Bresson L, Navarro AS 等 2026 Aug 5 置信度 0.82
• Evaluation of different defect-inspection setups for injection molding parts based on the deep learning method.
  In the injection molding industry, the shift toward small-batch production has led to a greater variety of products and smaller batch sizes, necessitating frequent mold changes and efficient quality control, which still largely relies on human operators. This …
  pubmed Bovo E, Wang XV, Lucchetta G, Wang L 2026 Aug 5 置信度 0.82
• Bio-Inspired Gating-Controlled Electronic Skin for Ultrafast Liquid Recognition and Precise Droplet Sliding Sensing in Robotic Intelligence.
  Endowing intelligent robots with the ability to perceive and analyze complex liquid environments is essential for autonomous decision-making. However, conventional liquid-sensing technologies remain constrained by a fundamental trade-off between transient resp…
  pubmed Zhang X, Quan H, Xia Z, Li B 等 2026 Aug 5 置信度 0.82
• Objective Measurement of the Learning Curve in Live Laparoscopic Surgery: A Scoping Review of Methods.
  This scoping review aims to provide an overview of the methodology used when defining the learning curve (LC) in live laparoscopic surgery.
  pubmed Rahman RMT, Alyacoubi S, Leff DR, Mylonas G 等 2026 Aug 4 置信度 0.82
• Latent MeanFlow Policy Optimization for Offline Reinforcement Learning.
  Offline reinforcement learning (RL) aims to derive effective policies from fixed datasets without environment interaction. While generative models such as diffusion and flow matching improve policy expressiveness, they often suffer from high computational cost…
  pubmed Liu T, Xu X, Lan Y, Huang J 等 2026 Aug 4 置信度 0.82
• Data-free physics-informed inverse programming of bistable kirigami energy landscapes.
  Kirigami metamaterials, formed by introducing cuts into planar sheets, can exhibit bistability through geometry-dependent energy landscapes. Designing structures with prescribed energy barriers and target deformation states is therefore essential for programma…
  pubmed Kang S, Kang S, Kim S, Ryu S 2026 Aug 4 置信度 0.82
• Robot-assisted Parotidectomy: Improved Clinical and Patient-Reported Outcomes.
  To compare perioperative outcomes, postoperative safety, and patient-reported outcomes among conventional, endoscopic, and robot-assisted parotidectomy for primary benign parotid tumors.
  pubmed Wang R, Zhang Z, Dai Z, Gupta A 等 2026 Aug 4 置信度 0.82
• Adoption of Robotic Pancreatoduodenectomy: Initial Experience With the First 100 Consecutive Cases.
  Despite the growing adoption of robotic pancreatoduodenectomy (R-PD), there remains a paucity of literature examining the learning curve associated with R-PD and the comparison of outcomes between early and later phases of institutional experience in R-PD. Acc…
  pubmed Masuda Y, Low B, Cheong E, Wang Z 等 2026 Aug 4 置信度 0.82
• Anaesthetic Management of a Patient with Dyke-Davidoff-Masson Syndrome Undergoing Robotic Thermocoagulative Hemispherotomy: A Case Report.
  Dyke-Davidoff-Masson Syndrome (DDMS) is a rare neurological disorder characterized by cerebral hemiatrophy and compensatory calvarial changes, typically resulting from early-life cerebral insults. Patients may present with drug-resistant epilepsy (DRE), hemipa…
  pubmed Kukanti C, Chowdhury SR, Manyam U, Sokhal N 2026 Jan-Feb 置信度 0.82
• Real-Time Anatomy Recognition During Single-Port Retroperitoneal Surgery: A Prospective Comparison Between AI and Operating Surgeon.
  Real-time anatomical recognition during robot-assisted surgery has the potential to enrich intraoperative decision-making. We made the first clinical test of an artificial intelligence (AI)-based algorithm designed to identify key anatomical structures during …
  pubmed Tamborino F, Morgantini LA, Cruciani L, Turcan A 等 2026 Aug 1 置信度 0.82
• Human-inspired time-series health evaluation with an adaptive multimodal electronic skin.
  Electronic skin powered with artificial intelligence could enable next-generation robotic and medical devices, yet integrating multimodal sensors and analyzing heterogeneous, multifrequency time series remain challenging. Most wearable machine learning archite…
  pubmed Xu C, Zheng H, Heng W, Liu R 等 2026 Jul 31 置信度 0.82
• Stable and Accurate Robot Trajectory Tracking Using Variable-Stiffness Euclideanizing Flow.
  Imitation learning based on dynamical systems (DSs) can generate real-time motion planning with intrinsic stability and robustness, providing significant advantages in highly uncertain dynamic environments. However, most DS approaches tend to deviate from thei…
  pubmed Zhang T, Zhou Y, Zhang P, Wang Z 等 2026 Jul 31 置信度 0.82
• Automated segmentation of thyroid tissue and carotid artery in ultrasound videos using expert-in-the-loop deep learning: a foundational step toward AI-assisted thyroid diagnostics.
  Ultrasound (US) is the primary imaging modality for thyroid evaluation, yet its diagnostic accuracy remains highly operator dependent. Automated identification of thyroid anatomy and adjacent vascular structures may improve standardisation, support image-guide…
  pubmed Bolomiti M, Burman J, Radiya K, Håskjold OI 等 2026 Jul 31 置信度 0.82
• Hybrid task and motion planning with reactive collision handling for multi-robot disassembly of complex products: application to EV batteries.
  This paper addresses the problem of multi-robot coordination for complex manipulation task sequences. We present a vision-driven task-and-motion planning (TAMP) framework for a real dual-agent platform that integrates task decomposition and allocation with a l…
  pubmed Shaarawy A, Erdogan C, Stolkin R, Rastegarpanah A 2026 置信度 0.82
• Structural predictors and latent maturity regimes of robotic readiness in global health systems: evidence from machine learning-based latent clustering and class prediction.
  The systematic integration of robotics into health service delivery systems requires periodic assessment of robotic readiness in terms of digital-health maturity regimes across countries. The current study aims to cluster 169 countries into maturity regimes an…
  pubmed Mukherjee M, Ali RH 2026 置信度 0.82
• The past, present and future of self-driving laboratories.
  Self-driving laboratories (SDLs) merge autonomous experimentation, advanced reactor engineering, robotics and artificial intelligence to accelerate scientific knowledge creation. Over the last decade, SDLs have progressed from narrowly focused automation tools…
  pubmed Canty RB, Abolhasani M 2026 Jul 31 置信度 0.82
• Navigating the learning curve of 3D-4K exoscopic microvascular decompression: technical nuances and clinical outcomes in a 37-patient cohort.
  The 3D-4K exoscope is an emerging digital technology in microneurosurgery. While feasible, its specific impact on surgical efficiency and diagnostic precision during microvascular decompression (MVD) remains under-researched. This study evaluates clinical outc…
  pubmed Ichikawa-Escamilla E, Fonseca-Cosio J, Castro-Prado FC, Espinosa-Cárdenas R 等 2026 Jul 30 置信度 0.82
• Automated extraction and evaluation of anterior esthetic parameters: A computer vision approach.
  Assessment of anterior dental and gingival esthetics has been commonly based on visual judgment and manual measurements. These approaches are time-consuming and show considerable examiner-dependent variation.
  pubmed Chen W, Zhou T, Liang M, Zhou Y 等 2026 Jul 30 置信度 0.82
• The role of trust in psychophysiological adaptation during split-belt treadmill training: a multimodal study.
  Trust is a key factor in motor learning, but its psychophysiological correlates remain poorly understood. This study examined how trust relates to neural, muscular, and behavioural adaptation during split-belt treadmill training. Twenty-five healthy adults (12…
  pubmed Zheng K, Li C, Yang S, Han F 2026 Jul 30 置信度 0.82
• Surgical innovation without oversight? Ethical concerns surrounding first-in-institution procedures in the era of expanding robotic surgery.
  Surgical innovation often exposes early patients to risks associated with learning curves. This commentary examines ethical challenges surrounding first-in-institution procedures, focusing on informed consent, transparency, and patient safety. Using expanding …
  pubmed Shiva S, Qanoongo R 2026 Jul 30 置信度 0.82
• Object-centric diffusion policies for real-world robotic-arm imitation learning.
  Imitation learning in complex, unstructured environments remains challenging due to the difficulty of grounding perception in physically meaningful representations and the need to model multimodal action distributions. Existing approaches often rely on unstruc…
  pubmed Kasu PR, Um D 2026 置信度 0.82
• Data-Driven Synthesis of Covalent Organic Frameworks via Machine Learning with Integrated Success-Failure Data.
  Covalent organic frameworks (COFs) have emerged as a versatile class of porous materials with promising applications in catalysis, energy storage, and gas adsorption. However, their synthesis remains a major bottleneck primarily due to the widespread reliance …
  pubmed Ma B, Yan Q, Zhou W, Wu J 等 2026 Jul 27 置信度 0.82
• Perioperative outcomes and learning curves of minimally invasive hysterectomy: a comparative analysis of MPLH, RASPH, and SPLH.
  To compare perioperative safety, efficiency and learning curves of MPLH, RASPH and SPLH, and analyze surgical disparities stratified by uterine volume. We adopted multivariable regression (primary adjusted analysis) and multinomial IPTW weighting (sensitivity …
  pubmed Zhang Y, Xu X, Zhu W, Liu Y 等 2026 置信度 0.82
• Non-invasive individual identification of adult Pleurodeles waltl using Deep Learning.
  Reliable individual identification is essential for long-term tracking and reproducible laboratory animal studies. In amphibians, invasive marking methods like tags and dye injections can cause welfare concerns and may be unreliable because of tag loss or migr…
  pubmed Kagamiyama K, Saiki N, Takaya K, Koga A 等 2026 Jul 30 置信度 0.82
• Walking on Rough Terrain with Any Number of Legs.
  Robotics would gain by replicating the remarkable agility of arthropods in navigating complex environments. In this simulation study, we consider the control of ``multi-legged'' systems which have 6 or more legs. Current multi-legged control strategies in robo…
  pubmed Chen Z, Wang X, Revzen S 2026 Jul 29 置信度 0.82
• A deep learning-based framework for the malignancy analysis of thyroid lesions in contrast-enhanced ultrasound videos.
  Contrast-enhanced ultrasound (CEUS) is widely used for evaluating thyroid nodule malignancy, but conventional time-intensity curve (TIC) analysis is labor-intensive and operator-dependent. This study proposes LSTAC, an automated framework for nodule segmentati…
  pubmed Yang A, Li L, He R, Zhou X 等 2026 Jul 26 置信度 0.82
• Spike-EIFNet: Lightweight Spike-Driven Event-Image Fusion Network for Accurate and Efficient Semantic Segmentation.
  Semantic segmentation is critical for intelligent robotics to understand complex environments. While CNN-based models on RGB images achieve high performance, their accuracy drops in fast-motion or low-light scenes. Fortunately, event cameras, with high tempora…
  pubmed Chen S, Liu Q, Long X, Li Y 等 2026 Jul 29 置信度 0.82
• AI in the OR: Ethics and the Evolving Role of Surgeons.
  AI is rapidly entering the operating room, both as a clinical tool and as increasingly autonomous systems. In this News and Perspectives article, JMIR Correspondent and intensive care unit nurse Jenna Congdon reports on the ethical implications and evolving ro…
  pubmed Congdon J 2026 Jul 29 置信度 0.82
• Operando state monitoring of diversified lithium-ion batteries via laser-excited ultrasonic sensing with transformer networks.
  Emerging contact-based and immersion-based piezoelectric ultrasonic techniques encounter challenges in achieving accurate battery state monitoring under high-rate operations, where temperature fluctuations distort ultrasound and couplant contamination compromi…
  pubmed Lv G, Sun C, Zhao P, Huang K 等 2026 Jul 31 置信度 0.82
• Ultra-wideband radar to measure in vivo muscle forces.
  Accurate measures of muscle forces are critical for engineers, clinicians, and biomechanists, yet direct measurement is highly invasive, and current estimation methods remain limited in accuracy. Here, we demonstrate the application of ultra-wideband radar sen…
  pubmed Bird CS, Bo APL, Lu W, Dick TJM 2026 Jul 29 置信度 0.82
• Artificial Intelligence in Interventional Pulmonology.
  Artificial intelligence (AI) has revolutionized interventional pulmonology (IP) by enhancing diagnostic accuracy, procedural efficiency, and training standardization. This review synthesizes current advancements and applications of AI across four key domains: …
  pubmed You ZD, He W, Liu J, Tang J 等 2026 Jul 29 置信度 0.82
• Complex abdominal wall reconstruction: pushing the boundaries of minimally invasive surgery.
  Robotic platforms have expanded the indications and techniques for abdominal wall reconstruction (AWR). This comprehensive narrative review examines current evidence on the evolution, technical variations, clinical outcomes, and cost implications of robotic AW…
  pubmed Sayers AS, Walsh CJ, Simpson GS 2026 Jul 29 置信度 0.82
• Making robotic surgery viable and training general surgeons in the Brazilian public healthcare.
  Robotic surgery has become popular in recent decades and is already used in practically all surgical specialties. The increasing use of robotic systems has raised concerns about the safety of patients operated on by surgeons on a learning curve. This demand re…
  pubmed Silva GG, da Silva Costa CD, Strasser RT, de Andrade HZ 等 2026 Jul 29 置信度 0.82
• [Artificial intelligence in the care of geriatric patients-more of a curse or more of a blessing?].
  Artificial intelligence (AI) is conquering medicine in many fields. With geriatric patients, it is important not only to understand the decision tree of, for example, a tumor disease, but also to assess their functionality and functional deficits.
  pubmed Wiedemann A, Manseck A, Stein J, Fröhner M 等 2026 Jul 29 置信度 0.82
• A Machine Learning and Large Language Model Tool for Systematic Literature Reviews of Health Economic Evidence: A Validation Study.
  Systematic literature reviews offer high potential for efficiency gains from artificial intelligence (AI), now integrated into several systematic literature review software platforms. Validation studies show acceptable sensitivity, specificity, and accuracy fo…
  pubmed Bloudek LM, Cichewicz AB, Patel K, Sullivan SD 等 2026 Jul 29 置信度 0.82
• Proof of Concept of Natural Language Processing in Predicting Patient-Reported Outcomes in Spinal Cord Stimulation.
  We aim to analyze the use of natural language processing (NLP) models to predict the improvement of patient reported outcome measures (PROMs).
  pubmed Kabir M, Medina T, Daulat SR, DiMarzio M 等 2026 Jun 23 置信度 0.82
• Privacy-Preserving Surgical Video Analysis with Swarm Learning - Results from a Multinational Appendectomy Cohort.
  Progress in artificial intelligence (AI)-based analysis of surgical videos has been constrained by reliance on manual frame-level annotations rather than patient-level outcomes. In addition, concerns about data privacy restrict the exchange of laparoscopic vid…
  pubmed Saldanha OL, Pfeiffer K, Bodenstedt S, Kirchner M 等 2026 Jul 置信度 0.82
• A lightweight YOLO-WRCS model for peanut pod detection in seed-preserving peanut shelling robots.
  Low-damage seed-preserving peanut shelling robots require real-time recognition of peanut pod quality and orientation to guide sorting and shelling while reducing seed damage.We proposed YOLO-WRCS, a lightweight YOLOv12n-based detector integrating RDWConv, Sim…
  pubmed Pang Y, Zhao G, Qiu L, Huo W 等 2026 置信度 0.82
• Hybrid machine learning and physical modeling of feedstock deformation during robotic 3D printing of continuous fiber thermoplastic composites.
  Feedstock deformation during 3D printing of continuous fiber composites is a critical challenge in path planning and a main driver in the generation of manufacturing defects. The proposed work addressed the feedstock deformation during the deposition through s…
  pubmed Ghnatios C, Fayazbakhsh K 2026 置信度 0.82
• A Synchronization-Driven Learning Rule for Pattern Separation in Self-Organizing Probabilistic Spiking Neural Networks.
  Neuroscience-inspired neural networks provide a promising framework for bridging biological principles and adaptive artificial intelligence systems. Here, we propose a novel synchronization-based synaptic learning rule for self-organizing probabilistic spiking…
  pubmed Faghihi F, Moustafa A, Neymotin S 2026 Jul 14 置信度 0.82
• Technological Trajectories of Arthroscopy Patents Reveal Maturation, a Shift Toward Digitally Enhanced Precision Surgery, and Future Growth in Arthroscopy-Related Surgical Robots.
  To quantitatively analyze global arthroscopy patents, identify key development trends, and explore emerging technological directions.
  pubmed Fan D 2026 Jul 29 置信度 0.82
• Robotic Versus Laparoscopic Pancreaticoduodenectomy: A Review of Contemporary Evidence on Surgical Outcomes and Learning Curve.
  Robotic pancreaticoduodenectomy (RPD) offers technical advantages over laparoscopic pancreaticoduodenectomy (LPD), including improved dexterity, visualisation, and ergonomics. However, its clinical superiority remains uncertain.
  pubmed Murshid M, AlJiffry M, Nawawi A 2026 Aug 置信度 0.82
• Plasma infrared molecular fingerprinting stratifies residual risk in coronary artery disease and reflects clonal haematopoiesis-associated biology.
  Residual cardiovascular risk remains substantial in patients with coronary artery disease (CAD) despite optimal secondary prevention. Clonal haematopoiesis of indeterminate potential (CHIP) contributes causally to this risk but requires sequencing for detectio…
  pubmed von Scheidt M, Eissa T, Krefting J, Friess C 等 2026 Jul 29 置信度 0.82
• A Multimodal Machine Learning Model for Framingham Risk Score-Based Cardiovascular Risk Stratification in Patients With Obstructive Sleep Apnea.
  Machine learning provides a powerful tool to capture complex, nonlinear patterns in biomedical data and enhance precision risk stratification. In this study, we applied a multilayer perceptron (MLP) framework to classify Framingham Risk Score-based cardiovascu…
  pubmed Zhao F, Li Y, Li C, Xu H 等 2026 Jul 28 置信度 0.82
• Magnetically controlled diatom-based microrobots for targeted drug delivery and combined chemo-photodynamic treatment of glioblastoma.
  The potential of micro-nano robots in biomedical applications, especially targeted drug delivery, has drawn much attention. Despite substantial advancements, challenges remain in achieving precise control and effective drug release at target locations. Here, w…
  pubmed Li M, Li L, Ding F, Wang X 等 2026 Jul 25 置信度 0.82
• Safety of Proctored Learning Curve in Upper Gastrointestinal Robotic Surgery.
  Safe implementation of robotic upper gastrointestinal surgery requires an optimized learning process. We report the initial experience, outcomes and learning curve of a team introducing this technique in Argentina through the Upper GI International Robotic Ass…
  pubmed Badaloni F, Ramirez MG, Solinas D, Saba Zotto F 等 2026 Jul 28 置信度 0.82
• An Introduction to 3-D Sparse CNNs.
  Three-dimensional data are now central to computer vision, robotics, autonomous driving, medical imaging, augmented reality, and computer graphics. Yet, 3-D deep learning is difficult because geometric data are often large, irregular, and mostly empty. Dense v…
  pubmed Wang PS, Pietroni N, Hu R 2026 Jul-Aug 置信度 0.82
• GCP-YOLO: high-precision detection of tiny chili flowers in complex greenhouse scenes.
  Precise identification of chili flowers and buds is essential for enabling intelligent robotic pollination, continuous crop monitoring, and early yield prediction in protected horticulture. Reliable visual sensing remains challenging because chili targets are …
  pubmed Kuang M, Wang Y, Li X, Zou X 等 2026 置信度 0.82
• Re: Del Giudice F, Santarelli V, Spurna K, et al. 10-yr Outcomes of Senior Clinical Fellowship in Robot-assisted Radical Cystectomy (RARC) with focus on Intracorporeal Ileal Conduit Urinary Diversion: Aggregated Learning Curve Assessment and Achievement of the EAU-Robotic Urology Section (ERUS) RARC Curriculum. Eur Urol Open Sci 2026;89:12-22.
  pubmed Sati DM, Shinde VD, Agarwal C 2026 Aug 置信度 0.82
• PALPABLE: enhanced bending stiffness and proprioception in soft actuators for laparoscopic palpation.
  The assessment of tissue properties via direct palpation is essential for localizing abnormalities during surgery. However, Minimally Invasive Surgery (MIS) eliminates this tactile feedback, creating a critical sensory gap. To address this, the EU Horizon proj…
  pubmed Lousis CV, Inglezou M, Zournatzis I, Violakis G 等 2026 置信度 0.82
• Nanograting and Micro-Protrusions Synergistic Dielectric Responses in Flexible Pressure Sensors for Ultrawide-Range Human-Machine Perception.
  Simultaneously achieving high sensitivity and a broad sensing range remains a fundamental challenge for flexible capacitive pressure sensors. Herein, we report a synergistic multiscale architecture featuring a polydimethylsiloxane/multi-walled carbon nanotube&…
  pubmed Luo Q, Xie X, Kang X, Wang H 等 2026 Jul 28 置信度 0.82
• Exploring physiotherapists' experiences of implementing robot assisted gait training in a National Health Service inpatient neurorehabilitation setting: a qualitative study.
  To explore physiotherapists' experiences of implementing robot assisted gait training (RAGT) in a National Health Service (NHS) inpatient neurorehabilitation setting. Evidence of the efficacy of RAGT is growing, however implementation of this technology into c…
  pubmed Chambers K, Johnson L, Sadler E 2026 Jul 28 置信度 0.82
• PhiCube: a reconfigurable bilateral robotic device for neurorehabilitation.
  Neuromotor disorders affecting upper-limb function represent a substantial clinical challenge in pediatric populations, with conditions such as hemiplegic cerebral palsy imposing lasting limitations on functional independence and quality of life. Bilateral mot…
  pubmed Lavit Nicora M, Tauro G, Chaudhary A, Redaelli DF 等 2026 置信度 0.82
• Value-Regularized Reinforcement Learning for Model Predictive Control of Autonomous Mobile Robots Under Stochastic Disturbances.
  Autonomous mobile robots depend on sensing and state estimation to provide feedback, while their controllers must remain effective under process disturbances and model mismatch. Reinforcement learning-based model predictive control (RL-MPC) learns the terminal…
  pubmed Yu C, Zhang W, Li Q, Cheng Y 等 2026 Jul 21 置信度 0.82
• SPTNet: SuperPoint Tracking Network for Visual SLAM.
  Robust image-to-image correspondence is a fundamental challenge for camera-based Visual Simultaneous Localization and Mapping (SLAM). Conventional approaches primarily rely on isolated local feature matching or optical flow prediction, which often suffer from …
  pubmed Pang M, Jiao J, Zhang Y 2026 Jul 21 置信度 0.82
• Cross-Attention-Driven Propose-and-Select Generative Data Augmentation for Few-Shot Image Classification.
  Generative data augmentation based on diffusion models has emerged as a promising approach for few-shot image classification. Existing methods, such as DA-Fusion, typically follow a "generate-once, use-directly" paradigm, which often suffers from uncontrollabl…
  pubmed Liu Y, Zheng L, Wang S 2026 Jul 20 置信度 0.82
• Variable-Damping Impedance Control for Contact Tasks: A Reinforcement Learning Method Integrating HER and Importance Sampling.
  Force control is crucial for robotic contact-rich tasks such as assembly, grinding, and polishing, directly affecting task accuracy, interaction stability, and safety. Yet in unstructured environments, environmental uncertainty, contact oscillations, and frict…
  pubmed Guo X, Ding H, Ning X, Hou H 等 2026 Jul 17 置信度 0.82
• GeoSeqNet: A Geometry-Aware Sequential Network for Robust 3D Point Cloud Analysis.
  3D point cloud understanding plays a vital role in remote sensing, robotic perception and intelligent scene analysis. However, real-world point cloud data are often affected by sensing noise, incomplete geometry, occlusion, and irregular sampling, posing signi…
  pubmed Liu D, Deng Y, Wu H, Zou J 等 2026 Jul 16 置信度 0.82
• SAI-RRT*: Safety-Aware Informed RRT* for Multi-Joint Manipulator Path Planning in Static Environments.
  Path planning for multi-joint robotic manipulators within complex industrial settings represents a formidable challenge due to high-dimensional spaces and safety requirements. While the conventional Informed RRT* provides a solid foundation, it frequently enco…
  pubmed Wang Z, Wang Z, Li X, Wang C 2026 Jul 15 置信度 0.82
• A Robotic Ultrasound System for Automated Abdominal Aorta Screening: Feasibility Study in Healthy Volunteers.
  Ultrasound is safe, portable, and relatively low cost, and robotic ultrasound research is expanding across many diagnostic applications. Within this context, abdominal aortic aneurysm (AAA) screening remains comparatively unexplored, with few systems reporting…
  pubmed Zheng Y, Geale A, Kruse P, Paraniroopasingam A 等 2026 Jul 13 置信度 0.82