Latest AI and machine learning research in product alert for healthcare professionals.
Clinical trials are an indispensable part of the drug development process, bridging the gap between basic research and clinical application. During the development of new drugs, clinical trials are used not only to evaluate the safety and efficacy of the drug but also to explore its dosage, treatment regimens, and potential side effects. This review discusses the various stages of clinical trial...
We introduce Concept Bottleneck Large Language Models (CB-LLMs), a novel framework for building inherently interpretable Large Language Models (LLMs). In contrast to traditional black-box LLMs that rely on limited post-hoc interpretations, CB-LLMs integrate intrinsic interpretability directly into the LLMs -- allowing accurate explanations with scalability and transparency. We build CB-LLMs for ...
Objective: To develop a fast image reconstruction method for stroke monitoring with electrical impedance tomography with image quality comparable to...
This paper introduces Test-time Correction (TTC) system, a novel online 3D detection system designated for online correction of test-time errors via...
Discussions of minimum parking requirement policies often include maps of parking lots, which are time consuming to construct manually. Open source ...
The security of AI-generated content (AIGC) detection is crucial for ensuring multimedia content credibility. To enhance detector security, research...
Event cameras, which feature pixels that independently respond to changes in brightness, are becoming increasingly popular in high-speed application...
Vision-language models (VLMs), such as CLIP and SigLIP, have found remarkable success in classification, retrieval, and generative tasks. For this, ...
The Internet of Things (IoT) has transformed healthcare, facilitating remote patient monitoring, enhanced medication adherence, and chronic disease ...
Timely and accurate assessments of building damage are crucial for effective response and recovery in the aftermath of earthquakes. Conventional pre...
Post-flood building damage assessment is critical for rapid response and post-disaster reconstruction planning. Current research fails to consider t...
Deep Learning (DL) models are often black boxes, making their decision-making processes difficult to interpret. This lack of transparency has driven...
DEtection TRansformer (DETR) has emerged as a promising architecture for object detection, offering an end-to-end prediction pipeline. In practice, ...
Diffusion Transformers have demonstrated remarkable capabilities in image generation but often come with excessive parameterization, resulting in co...
Every year, thousands of people suffer from skull damage and require personalized implants to fill the cranial cavity. Unfortunately, the waiting ti...
The paper describes a cohort of patients with post-acute COVID-19 syndrome, evaluated for the first time between week 3 and week 12 from the onset of ...
Burn injuries present a significant global health challenge. Among the most severe long-term consequences are contractures, which can lead to functi...
Record matching, the task of identifying records that correspond to the same real-world entities across databases, is critical for data integration ...
BACKGROUND: Integrating artificial intelligence (AI) in healthcare settings has the potential to benefit clinical decision-making. Addressing challeng...
How is identity constructed and performed in the digital via face-based artificial intelligence technologies? While questions of identity on the tex...