Latest AI and machine learning research in hematology for healthcare professionals.
Medical image segmentation has numerous applications in diagnosing different diseases. Various types...
BACKGROUND: Radical gastrectomy with D2 lymphadenectomy is standard surgical protocol for locally ad...
Acquisition and modeling of polarized light reflection and scattering help reveal the shape, struc...
Informed by the success of the transformer model in various computer vision tasks, we design an en...
Gastrointestinal (GI) bleeding is a serious medical condition that presents significant diagnostic...
Sickle cell anemia, which is characterized by abnormal erythrocyte morphology, can be detected usi...
Accurate detection and segmentation of gastrointestinal bleeding are critical for diagnosing disea...
Gastrointestinal (GI) bleeding, a critical indicator of digestive system disorders, re quires effi...
In order to take full advantage of traditional Chinese medicine (TCM) and western medicine, combined...
Multimodal generative models require a unified approach to handle both discrete data (e.g., text a...
Flare, an optical phenomenon resulting from unwanted scattering and reflections within a lens syst...
In this study, we presented two innovative methods, which are Threshold-Based Derivative (TBD) and...
We investigated the impact of donor characteristics on outcomes in allogeneic hematopoietic cell tra...
This study presents an integrated deep learning model for automatic detection and classification o...
Large-scale dynamic three-dimensional (3D) photoacoustic imaging (PAI) is significantly important ...
Blood cell identification is critical for hematological analysis as it aids physicians in diagnosi...
Clinical diagnostic guidelines outline the key questions to answer to reach a diagnosis. Inspired ...
Early detection of surgical complications allows for timely therapy and proactive risk mitigation....
The increasing global aging population necessitates improved methods to assess brain aging and its...
BACKGROUND: The PRAISE (PRedicting with Artificial Intelligence riSk aftEr acute coronary syndrome) ...
OBJECTIVE: Mobilization and collection of peripheral blood stem cells (PBSCs) are time-intensive and...