Latest AI and machine learning research in alternative medicine for healthcare professionals.
Deep Research Agents (DRAs) generate citation-rich reports via multi-step search and synthesis, yet ...
Background: Pneumonia remains a leading cause of morbidity and mortality among children worldwide, e...
Models like OpenAI-o3 pioneer visual grounded reasoning by dynamically referencing visual regions,...
While image dehazing has advanced substantially in the past decade, most efforts have focused on s...
Grounding large language models (LLMs) in verifiable external sources is a well-established strate...
Surface defect detection plays a critical role in industrial quality inspection. Recent advances i...
Existing 3D visual grounding methods rely on precise text prompts to locate objects within 3D scen...
To address the identification challenges caused by morphological similarities in Root and Rhizome Ch...
Automated question answering (QA) over electronic health records (EHRs) can bridge critical inform...
Deep learning has previously shown success in automatically generating morphological traits that car...
For the immanent challenge of insufficiently annotated samples in the medical field, semi-supervis...
Brain tumors, regardless of being benign or malignant, pose considerable health risks, with malign...
The expanding domain of digital mental health is transitioning beyond traditional telehealth to inco...
Integrating Traditional Chinese Medicine (TCM) and Modern Medicine faces significant barriers, inclu...
Cancer pain management (CPM) is crucial in oncology care, with current approaches including pharmaco...
We suggest AI framework for UC diagnosis using Sparse Autoencoders (SA) for feature extraction combi...
BACKGROUND AND OBJECTIVES: AI has emerged as a transformative force in clinical medicine, changing t...
Characterizing age-related alterations in brain networks is crucial for understanding aging trajecto...
This statement conveys the European Society of Gastrointestinal Endoscopy (ESGE) position on the use...
The increasing digitalization of multi-modal data in medicine and novel artificial intelligence (AI)...
We develop hybrid memory architectures for general-purpose sequence processing neural networks, th...