Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Background A significant disparity exists for American Indian and Alaska Native populations in accessing obstetric and gynecology (OBGYN) subspecialty care, as nearly 43% of individuals do not reside in areas where the Indian Health Service (IHS) provides care. Geographical separation from IHS facilities exacerbates healthcare disparities, particularly regarding access to specialized services. Thi...
BACKGROUND: Intraoperative hypotension is associated with increased perioperative complications, hospital length of stay (LOS) and healthcare expenditure in gynecologic surgery. We tested the hypothesis that the adoption of a machine learning-based warning algorithm (hypotension prediction index-HPI) might yield an economic advantage, with a reduction in adverse outcomes that outweighs the costs f...
OBJECTIVE: Postoperative delirium (POD) is a common complication of cardiac surgery that is associated with higher morbidity, longer hospital stay, co...
Measuring the daily use of an affected limb after hospital discharge is crucial for hemiparetic stroke rehabilitation. Classifying movements using non...
BACKGROUND: The Centers for Medicare & Medicaid Services currently incentivizes hospitals to reduce postdischarge adverse events such as unplanned hos...
(Background) Autism increasingly requires a multidisciplinary approach that can effectively harmonize the realms of diagnosis and therapy, tailoring b...
The development of artificial intelligence (AI) has revolutionized medical care in recent years and plays a vital role in a number of areas, such as d...
Thyrotoxicosis is a clinical condition characterized by inappropriately elevated thyroid hormone levels in the bloodstream, leading to systemic effect...
Diagnostic errors represent a critical issue in clinical diagnosis and treatment. In China, the rate of misdiagnosis in clinical diagnostics is approx...
This article introduces a novel concept where advanced technologies have been leveraged to produce a modular walking orthosis (MOWA) within a complete...
Background The COVID-19 infection has spread rapidly since its emergence and has affected a large part of the global population. With the increasing n...
OBJECTIVES: To predict the functional outcome of patients with intracerebral hemorrhage (ICH) using deep learning models based on computed tomography ...
Vancomycin is recommended as first-line treatment of methicillin-resistant (MRSA) bacteremia, dosed by area-under-the-curve (AUC) with an assumed mi...
Methicillin-resistant (MRSA) is a major pathogen that causes serious infections in healthcare facilities and in communities. The purpose of this stud...
Domestic and industrial wastewater treatment plants (WWTPs) are facing formidable challenges in effectively eliminating emerging pollutants and conven...
OBJECTIVE: Previous research on psychotherapy treatment response has mainly focused on outpatients or clinical trial data which may have low ecologica...
Gabapentin and pregabalin are well-tolerated medications primarily cleared by the kidney. Patients receiving higher gabapentinoid doses with decrease...
Chat Generative Pre-trained Transformer (ChatGPT), the flagship generative artificial intelligence (AI) chatbot by OpenAI, is transforming many things...
Post-discharge re-positivity of Omicron SARS-CoV-2 is challenging for the sufficient control of this pandemic. However, there are few studies about th...
Symptoms caused by a selective serotonin reuptake inhibitor (SSRI) overdose are often mild and can be managed with supportive care and close monitorin...