Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Although hydrogen peroxide (H2O2) nebulization has shown promise for reducing SARS-CoV-2 loads in he...
Phage predation is inversely associated with severe cholera yet its importance as a determinant of d...
Electroconvulsive therapy (ECT) is an effective treatment of severe manifestations of mental illness...
As the use of AI in healthcare is rapidly expanding, there is also growing recognition of the need f...
Organ fibrosis caused by the presence of excessive extracellular matrix (ECM) is strongly related to...
Accurate multidimensional sleep health (MSH) information is often fragmented and inconsistently repr...
To evaluate whether machine learning models trained solely on administrative and demographic data ca...
Hepatitis, a disease characterized by inflammation of the liver, is a leading global health challeng...
Artificial intelligence (AI) has impacted healthcare at urban and academic medical centers globally....
Information overload in electronic health records (EHRs) hampers clinicians’ ability to efficiently ...
The early recognition of clinical deterioration in hospital inpatients continues to be a major chall...
Carbapenem resistance in Pseudomonas aeruginosa is increasing in intensive care units (ICUs). To enh...
Insomnia is a highly prevalent but often underdiagnosed condition in clinical practice. Its inconsis...
Timely and accurate determination of causes of death (CoD) is essential for public health surveillan...
The urethra is a recommended avoidance structure for prostate cancer treatment. However, even subspe...
Sepsis remains a leading cause of intensive care unit (ICU) mortality worldwide, and early detection...
Cardiovascular disease (CVD) remains the leading cause of mortality worldwide, with acute myocardial...
The privacy protection of medical patients has remained a critical concern in healthcare information...
Large language models are increasingly used to generate patient information in healthcare. However, ...
Prompt engineering has the potential to enhance large language models’ (LLM) ability to solve tasks ...
Patients often struggle to fully understand their discharge letters after inpatient hospital stays, ...