Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Healthcare-associated infections (HAIs) from multi-drug resistant organisms (MDROs) pose a signif-ic...
Suicide risk is substantially elevated following discharge from a psychiatric hospitalization. Carin...
Sepsis-Associated Acute Kidney Injury (SA-AKI) leads to high mortality in intensive care. This study...
Aplastic anemia is a severe hematologic disorder marked by pancytopenia and bone marrow failure. ICU...
The post-acute sequelae of SARS-CoV-2 (PASC), also known as long COVID, remain a significant health ...
Decisions on the best available treatment in clinical oncology are based on expert opinions in multi...
This study endeavors to construct a machine learning model to forecast in-hospital mortality and dis...
Clinical phenotyping is the process of extracting patient’s observable symptoms and traits to better...
To evaluate the potential of wrist-worn wearable devices to detect and quantify Faciobrachial Dyston...
Accurate predictions of discharge timing and in-hospital mortality could improve hospital efficiency...
Electronic Health Records (EHRs) sampled from different populations can introduce unwanted bi-ases, ...
Sepsis is a severe condition that causes the body to respond incorrectly to an infection. This react...
During emergency surgery, patients with acute type A aortic dissection (ATAAD) experience unfavorabl...
Acute Hepatic Porphyria (AHP) is a rare genetic disease characterized by unpredictable life-threaten...
This study evaluates the comparative performance of trained machine learning models, commercial off-...
Federal programs to mitigate hospital readmission of patients with heart failure (HF) monetarily enc...
Guidance is lacking on choice of first-line antipsychotic for individuals with incident severe menta...
Antibiotic resistance is a critical public health threat, particularly in hospital settings where vu...
Anemia, or low blood hemoglobin (Hb), affects one third of the world population, and is particularly...
Out of hospital services face significant challenges, including growing patient demand, workforce li...
Large Language Models (LLMs) have shown promise in reducing clinical documentation burden, yet their...