Latest AI and machine learning research in critical care for healthcare professionals.
Long scan time significantly hinders the widespread applications of three-dimensional multi-contrast...
Hierarchical approaches have been tremendously successful at multi-label segmentation. However, it h...
Accurately diagnosing chronic kidney disease requires pathologists to assess the structure of multip...
Electronic Health Record (EHR) is the digital form of patient visits that contains various medical d...
Framing the investigation of diverse cancers as a machine learning problem has recently shown signif...
BACKGROUND: The development of sepsis in the intensive care unit (ICU) is rapid, the golden rescue t...
Lysine crotonylation (Kcr) is an important post-translational modification, which is present in both...
Recent advancements in single-cell technologies have enabled comprehensive characterization of cellu...
Liver transplant recipients (LTRs) are at risk of graft injury, leading to cirrhosis and reduced sur...
BACKGROUND: Acute pancreatitis (AP) represents a critical medical condition where timely and precise...
BACKGROUND: The development of clinical pharmacy in China has been relatively slow, and standardized...
BACKGROUND: Major Adverse Kidney Events within 30 days (MAKE30) is an important patient-centered out...
The detection, segmentation, and differentiation of benign and malignant nuclei from the histopathol...
BACKGROUND: Sepsis-associated liver injury (SALI) is a severe complication of sepsis that contribute...
Computational prediction of potential drug side effects plays a crucial role in reducing health risk...
Accurate and interpretable age estimation and gender classification are essential in forensic and cl...
Reverse transcription-polymerase chain reaction (RT-PCR) is the reference standard for COVID-19 diag...
The task of generating medical reports automatically is of paramount importance in modern healthcare...
PURPOSE: The medication regimen complexity intensive care unit (MRC-ICU) score has previously been a...
Sepsis remains a leading cause of mortality in critical care settings, necessitating timely and accu...
The advancement of the Internet of Medical Things (IoMT) has revolutionized data acquisition and pro...