Latest AI and machine learning research in clinical trials for healthcare professionals.
The use of Natural Language Processing (NLP) in highstakes AI-based applications has increased sig...
Autonomous Driving Systems (ADSs) continue to face safety-critical risks due to the inherent limit...
Autonomous drifting is a complex and crucial maneuver for safety-critical scenarios like slippery ...
Given the growing influence of language model-based agents on high-stakes societal decisions, from...
Surgical risk identification is critical for patient safety and reducing preventable medical error...
Lifting on construction sites, as a frequent operation, works still with safety risks, especially ...
We introduce fast randomized algorithms for solving semidefinite programming (SDP) relaxations of ...
Recent advances in LLMs have greatly improved general-domain NLP tasks. Yet, their adoption in cri...
The integration of AI/ML into medical devices is rapidly transforming healthcare by enhancing diag...
RNA interference (RNAi) has emerged as a transformative approach for cancer therapy, enabling precis...
Policymakers in resource-constrained settings require experimental designs that satisfy strict bud...
Optical coherence tomography (OCT) has sufficient depth penetration for detection of skin pathologie...
The domains of food safety, quality, and nutrition are inundated with complex datasets. Machine lear...
Multimodal Large Language Models (MLLMs) have enabled transformative advancements across diverse a...
In randomized clinical trials, regression models can be used to explore the relationships between ...
In the past, the development of vaccines and immunotherapeutics relied heavily on trial-and-error ...
Claims made by individuals or entities are oftentimes nuanced and cannot be clearly labeled as ent...
Large Vision-Language Models (LVLMs) have achieved impressive progress across various applications...
With the increasing availability of aerial and satellite imagery, deep learning presents significa...
The recent emergence of multimodal large language models (LLMs) has introduced new opportunities f...
In complex driving environments, autonomous vehicles must navigate safely. Relying on a single pre...