Artificial Intelligence Medical Compendium

Few-shot learning aims to recognize novel categories from limited labeled examples. Recent studies incorporate textual semantics to compensate for limited visual observations and improve class representations. However, high image-text agreement may r... read more 

Building a capable video editor remains significantly harder than a video generator: editing requires (source, instruction, edited) triplets that are prohibitively expensive to annotate and difficult to synthesize at scale, whereas image editing has ... read more 

General-purpose service robots need navigation systems that can handle diverse human requests in unfamiliar environments, combining task generality with scene generality. Some existing methods fine-tune multimodal large language models (MLLMs) to pre... read more 

Interactive scene exploration requires frequent view updates, although small camera motions preserve much of the visible content. Conventional 3D Gaussian Splatting nevertheless renders each target view, leaving this image overlap unexploited. Reusin... read more 

BACKGROUND: Drug shortages significantly impact hospital pharmacy services, patient care, and operational efficiency. Although causes and prevalence are well documented, evidence on operational workflows and decision making processes in shortage mana... read more 

Future-ready continuing professional development (CPD) must integrate artificial intelligence without eroding the human relationships, empathy, and teamwork that underpin quality care. This brief report describes an immersive interactive AI-driven co... read more 

Neuroscience has long informed the development of artificial neural networks, but the success of modern architectures invites, in turn, the converse: can modern networks teach us lessons about brain function? Here, we examine the structure of the cor... read more 

BACKGROUND AND AIMS: Artificial intelligence methods may support research on autism spectrum disorder (ASD)-related screening, but they cannot replace comprehensive clinical assessment. We evaluated two image-training scenarios public Kaggle data alo... read more 

Hematological malignancies represent a growing global health burden, with conventional therapies limited by systemic toxicity and resistance mechanisms. Proteolysis-targeting chimeras (PROTACs) are heterobifunctional molecules that hijack cellular de... read more 

Circulating microRNAs (miRNAs) are colorectal cancer (CRC) biomarkers, but their short length, high sequence homology, and low abundance make sensitive and multiplexed detection difficult. Electrochemical biosensing offers a route for miRNA analysis,... read more