Latest AI and machine learning research in intensivists for healthcare professionals.
BACKGROUND: A prediction model that estimates mortality at admission to the intensive care unit (ICU...
Fine-grained visual categorization in zero-shot setting is a challenging problem in the computer vis...
Medical Visual Question Answering (VQA) is an important task in medical multi-modal Large Language M...
The Qingfei Paidu decoction (QFPDD) is a widely acclaimed therapeutic formula employed nationwide fo...
We developed an interpretable machine learning algorithm that prospectively predicts the risk of thr...
Multi-modal representation learning has received significant attention across diverse research domai...
Social media networks become an active communication medium for connecting people and delivering new...
PURPOSE: To evaluate nnU-net's performance in automatically segmenting and volumetrically measuring ...
Traffic flow prediction is crucial for efficient traffic management. It involves predicting vehicle ...
BACKGROUND: Despite the significance and prevalence of acute respiratory distress syndrome (ARDS), i...
IMPORTANCE: Treatment for intracranial pressure (ICP) has been increasingly informed by machine lear...
Graph convolutional networks (GCNs) as the emerging neural networks have shown great success in Prog...
Multi-modal 3D object detection is instrumental in identifying and localizing objects within 3D spac...
Fundus image quality serves a crucial asset for medical diagnosis and applications. However, such im...
BACKGROUND: Impaired microcirculation is a cornerstone of sepsis development and leads to reduced ti...
Malposition of a nasogastric tube (NGT) can lead to severe complications. We aimed to develop a comp...
Community detection in multi-layer networks stands as a prominent subject within network analysis re...
Despite that deep learning has achieved state-of-the-art performance for automatic medical image seg...
With significant advancements of next generation sequencing technologies, large amounts of multi-omi...
The broad learning system (BLS) is an effective machine learning model that exhibits excellent featu...
ADME (Absorption, Distribution, Metabolism, Excretion) properties are key parameters to judge whethe...