Latest AI and machine learning research in work force for healthcare professionals.
The applications of fingertip haptic devices have spread to various fields from revolutionizing virtual reality and medical training simulations to facilitating remote robotic operations, proposing great potential for enhancing user experiences, improving training outcomes, and new forms of interaction. In this work, we present FiDTouch, a 3D wearable haptic device that delivers cutaneous stimul...
We investigate Machine-Learned Force Fields (MLFFs) trained on approximate Density Functional Theory (DFT) and Coupled Cluster (CC) level potential energy surfaces for the carbon diamond and lithium hydride solids. We assess the accuracy and precision of the MLFFs by calculating phonon dispersions and vibrational densities of states (VDOS) that are compared to experiment and reference ab initio ...
Result diversification (RD) is a crucial technique in Text-to-Image Retrieval for enhancing the efficiency of a practical application. Conventional ...
We propose a unified food-domain QA framework that combines a large-scale multimodal knowledge graph (MMKG) with generative AI. Our MMKG links 13,00...
Medical evacuation is one of the United States Army's most storied and critical mission sets, responsible for efficiently and expediently evacuating...
Diffusion models has underpinned much recent advances of dataset augmentation in various computer vision tasks. However, when involving generating m...
Domain-specific image generation aims to produce high-quality visual content for specialized fields while ensuring semantic accuracy and detail fide...
Soft tissue simulation in virtual environments is becoming increasingly important for medical applications. However, the high deformability of soft ...
Medical AI diagnosis including histopathology segmentation has derived benefits from the recent development of deep learning technology. However, de...
With the rise and development of computer vision and LLMs, intelligence is everywhere, especially for people and cars. However, for tremendous food ...
Fourier ptychography (FP) is a powerful light-based synthetic aperture imaging technique that allows one to reconstruct a high-resolution, wide fiel...
The foundational capabilities of large language models (LLMs) are deeply influenced by the quality of their pre-training corpora. However, enhancing...
Recent progress in large-scale reinforcement learning (RL) has notably enhanced the reasoning capabilities of large language models (LLMs), especial...
Current diversification strategies for text-to-image (T2I) models often ignore contextual appropriateness, leading to over-diversification where dem...
Current diversification strategies for text-to-image (T2I) models often ignore contextual appropriateness, leading to over-diversification where dem...
Low-dose computed tomography (LDCT) imaging employed in lung cancer screening (LCS) programs is increasing in uptake worldwide. LCS programs herald ...
Emerging spatial profiling technologies have revolutionized our understanding of how tissue architecture shapes disease progression, yet the contribut...
Recent advancements in deep learning for medical image segmentation are often limited by the scarcity of high-quality training data.While diffusion ...
Foundation models are usually pre-trained on large-scale datasets and then adapted to different downstream tasks through tuning. This pre-training and...
BACKGROUND: Recent advancements in general multimodal large language models (MLLMs) have led to substantial improvements in the performance of biomedi...