Latest AI and machine learning research in prescriptions for healthcare professionals.
Exploration of the impact of personality traits on social interactions within anonymous online communities poses a challenge at the interface of networked social sciences and psychology. We analyze whether Myers-Briggs Type Indicator (MBTI) personality types impact the dynamics of interactions on an anonymous chat system with over 288,000 messages from 6,076 users. Using a data set including 940...
BACKGROUND: Gabapentin, an anticonvulsant medication, has been proposed as a treatment for alcohol use disorder (AUD). A multisite study tested gabapentin enacarbil extended-release (GE-XR; 600Â mg/twice a day), a prodrug formulation, combined with a computerized behavioral intervention, for AUD. In this multisite trial, the gabapentin GE-XR group did not differ significantly from placebo on the pr...
In this work, we tackle the problem of text-to-video retrieval (T2VR). Inspired by the success of late interaction techniques in text-document, text...
Over the last few decades, Artificial Intelligence (AI) scientists have been conducting investigations to attain human-level performance by a machin...
Human-object interaction (HOI) detection often faces high levels of ambiguity and indeterminacy, as the same interaction can appear vastly different...
Two-hand reconstruction from monocular images faces persistent challenges due to complex and dynamic hand postures and occlusions, causing significa...
Large Vision-Language Models (LVLMs) have made significant progress in the field of video understanding recently. However, current benchmarks unifor...
Natural products, as metabolites from microorganisms, animals, or plants, exhibit diverse biological activities, making them crucial for drug discov...
Artificial intelligence (AI) systems powered by large language models have become increasingly prevalent in modern society, enabling a wide range of...
Despite decades of advancements in automated ligand screening, large-scale drug discovery remains resource-intensive and requires post-processing hi...
Generalized Category Discovery (GCD) aims to classify unlabeled data containing both seen and novel categories. Although existing methods perform we...
Generative AI (GenAI) browser assistants integrate powerful capabilities of GenAI in web browsers to provide rich experiences such as question answe...
Recent large-scale text-to-image diffusion models generate photorealistic images but often struggle to accurately depict interactions between humans...
Efficient modal feature fusion strategy is the key to achieve accurate segmentation of brain glioma. However, due to the specificity of different MR...
Adherence to prescribed treatments is crucial for individuals with chronic conditions to avoid costly or adverse health outcomes. For certain patien...
Drug-target interaction prediction (DTI) is essential in various applications including drug discovery and clinical application. There are two persp...
Object detection models are vulnerable to backdoor attacks, where attackers poison a small subset of training samples by embedding a predefined trig...
The application of large language models (LLMs) to healthcare information extraction has emerged as a promising approach. This study evaluates the c...
Surround-view perception has garnered significant attention for its ability to enhance the perception capabilities of autonomous driving vehicles th...
Ensuring the safety and well-being of elderly and vulnerable populations in assisted living environments is a critical concern. Computer vision pres...