Results 111 to 120 of about 141,164 (196)

Bioinspired Tactile Object Identification Leveraging Deep Learning and Soft Body Compliance

open access: yesAdvanced Intelligent Systems, EarlyView.
Herein, it is demonstrated that a soft robotic hand, integrated with low‐resolution tactile sensors, can effectively identify a variety of objects with high accuracy by combining multi‐grasp information. Central to this approach is the development of ROSE‐Net, a specialized neural network designed to harness the data from multiple grasps.
Oliver Shorthose   +3 more
wiley   +1 more source

Unringing the bell: Successful debriefing following a rich false memory study. [PDF]

open access: yesMem Cognit
Greene CM   +8 more
europepmc   +1 more source

Artificial Intelligence‐Enhanced, Closed‐Loop Wearable Systems Toward Next‐Generation Diabetes Management

open access: yesAdvanced Intelligent Systems, EarlyView.
Recent advancements in wearable healthcare have brought accessible continuous glucose monitoring systems (CGMs) for diabetes management. To address the limitations of CGMs, closed‐loop systems utilizing monitored glucose levels for insulin dosing are being developed.
Wei Huang   +5 more
wiley   +1 more source

False Memory and Alzheimer's Disease Pathology in Patients with Amnestic Mild Cognitive Impairment: A Study with Amyloid PET. [PDF]

open access: yesDement Geriatr Cogn Dis Extra, 2021
Choi EJ   +8 more
europepmc   +1 more source

A Proactive Agent Collaborative Framework for Zero‐Shot Multimodal Medical Reasoning

open access: yesAdvanced Intelligent Systems, EarlyView.
This work proposes a multimodal medical collaborative reasoning framework, which imitates clinician's working patterns of comparative analysis. The framework includes a cohort of domain‐expert models, and an large language model learner agent to generate inquiries and interact with these experts to gather the essential information, and integrate the ...
Zishan Gu   +4 more
wiley   +1 more source

Classification of Pulmonary Nodules Using Multimodal Feature‐Driven Graph Convolutional Networks with Specificity Proficiency

open access: yesAdvanced Intelligent Systems, EarlyView.
The radiomics feature could save the storage space of all medical samples; on the other hand, it avoids data leakage. Graph convolutional neural networks could summarize the similarity of benign and malignant pulmonary nodules to improve the performance in distinguishing them with radiomics and common clinical features.
Renjie Xu   +7 more
wiley   +1 more source

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