Latest AI and machine learning research in surveys for healthcare professionals.
Human preference is now central to the evaluation, guidance, finetuning, and ranking of text-to-imag...
Histopathology is central to cancer diagnosis, but morphology in Hematoxylin and Eosin (HE)-stained ...
Awareness of comorbidities in people with dementia is vital context for dementia research and clinic...
Negation-aware image generation remains challenging for text-to-image diffusion models, which often ...
Autonomous vehicles must detect objects faster than a frame camera delivers images. Event cameras re...
Post-training compression of pretrained medical segmentation models commonly uses quantization, prun...
Policy learning from observational data is fundamental to applications ranging from personalized med...
BACKGROUND Timely cause-of-death (COD) information guides health policy, yet many deaths in low- and...
Surface reflectance products derived from optical satellite may exhibit systematic inconsistencies a...
Reinforcement learning with verifiable rewards (RLVR) math corpora are routinely screened for benchm...
This paper presents the Digital Typhoon Dataset V3, a new version of the longest typhoon satellite i...
Background: Large language models (LLMs) configured as virtual patients may expand structured practi...
Functional brain connectome represents neural connectivity as a matrix of pairwise interactions betw...
BackgroundA primary constraint on the capacity of EMS programs to meet industry demand is psychomoto...
Background: Epigenetic deregulation is a defining feature of leukemia, and DNA methylation and chrom...
Text-to-image models appear to reproduce the habits of the photographs they learned from. Analog clo...
Public mobile and wearable mental-health datasets often provide summarized feature tables rather tha...
DNNs exhibit robustness and generalisation issues not seen in humans. They are also far less data-ef...
To test conditional independence of $X$ and $Y$ given a text or an image $Z$, one conditions on an e...
Generative models can now synthesize highly realistic images, simultaneously increasing the risks of...
Kernels encode the inductive bias of a wide range of machine learning models, yet automated kernel d...