Latest AI and machine learning research in health policy for healthcare professionals.
This paper addresses the scarcity of low-cost but high-dexterity platforms for collecting real-world multi-fingered robot manipulation data towards generalist robot autonomy. To achieve it, we propose the RAPID Hand, a co-optimized hardware and software platform where the compact 20-DoF hand, robust whole-hand perception, and high-DoF teleoperation interface are jointly designed. Specifically, R...
Traditional decision-based black-box adversarial attacks on image classifiers aim to generate adversarial examples by slightly modifying input images while keeping the number of queries low, where each query involves sending an input to the model and observing its output. Most existing methods assume that all queries have equal cost. However, in practice, queries may incur asymmetric costs; for ...
Most post-disaster damage classifiers succeed only when destructive forces leave clear spectral or structural signatures -- conditions rarely presen...
Open-vocabulary semantic segmentation (OVSS) entails assigning semantic labels to each pixel in an image using textual descriptions, typically lever...
Recent studies demonstrate that multimodal large language models (MLLMs) can proficiently evaluate visual quality through interpretable assessments....
Prosocial behaviours, which appear to contradict Darwinian principles of individual payoff maximisation, have been extensively studied across multip...
Graph Neural Networks (GNNs) achieve high performance across many applications but function as black-box models, limiting their use in critical doma...
Climate change is a major threat to crop potential and is characterized by both long-term shifts in temperature and precipitation patterns as well a...
Recently, Generative Adversarial Networks (GANs) have been successfully scaled to billion-scale large text-to-image datasets. However, training such...
Individuals with mental illness face significant challenges in achieving health equity due to social and structural determinants, fragmented healthcar...
Automation and AI-driven decision support systems are increasingly reshaping healthcare, particularly in diagnostic and clinical management contexts. ...
Access to safe and clean drinking water remains a critical global challenge, with groundwater as a primary source for billions of people. Further, tox...
Telesurgery, or remote surgery, represents a transformative fusion of medicine and technology, enabling surgeons to perform procedures on patients loc...
This paper introduces an innovative approach for automated polyp segmentation in colonoscopy images, deploying an enhanced Pix2Pix Generative Adversar...
Osteoporosis (OP) affects approximately 18Â % of the global population, with osteoporosis-associated fractures impacting up to 37 million people annual...
In the rapidly evolving field of healthcare 5.0, the Internet of Medical Things (IoMT) is expected to be an enabler that allows smart medical devices ...
This article summarizes existing ethical frameworks for healthcare artificial intelligence (AI) and ambient sensing technology, such as computer visio...
With increased access to digital technology, there has been a surge in the use of and interest in digital phenotyping as a tool to calculate various f...
Low-cost monitors for measuring airborne contaminants have gained popularity due to their affordability, portability, and ease of use. However, they o...
Low-cost, high-throughput DNA and RNA sequencing (HTS) data is the main workforce for the life sciences. Genome sequencing is now becoming a part of...