Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Digital pathology (DP) has significantly transformed breast pathology at Mount Sinai Hospital by enhancing diagnostic accuracy, collaboration, and education. The institution has integrated the Philips IntelliSite Pathology Solution (PIPS) for primary diagnostic use, which allows for high-resolution whole slide imaging (WSI) of surgical pathology slides. The workflow involves the scanning of glass ...
Cardiovascular, kidney and metabolic (CKM) conditions are interrelated, significantly contributing to morbidity, mortality and healthcare burden. Despite therapeutic advances, traditional disease-specific approaches often fail to address their complex interplay. Key therapeutic agents-including glucagon-like peptide-1 receptor agonists (GLP-1 RAs), dual GLP-1/glucose-dependent insulinotropic polyp...
Background and ObjectivesProsthetic hand development is undergoing a transformative phase, blending biomimicry and neural interface technologies to re...
The inconsistent charge and discharge patterns of electric vehicle batteries, coupled with their operation across varying voltage and current levels, ...
The integration of artificial intelligence (AI) into clinical practice has reached a new milestone in China, with the deployment of DeepSeek across ne...
Coal mining soils are highly susceptible to heavy metal pollution due to the discharge of mine tailings, overburden dumps, and acid mine drainage. Dev...
BACKGROUND: Hospital readmission following renal transplantation significantly impacts patient outcomes and healthcare resources. While machine learni...
Turnaround time (TAT) has evolved into a complex metric in the current era of diagnostic radiology. Initially monitoring a radiologist's ability to ef...
BackgroundHospitalized patients with blood cancer face an elevated risk for cardiovascular diseases caused by cardiotoxic cancer therapies, which can ...
Hip fractures in the elderly present a significant public health challenge globally, especially among patients with hypertension, who are at an increa...
BACKGROUND: There is no standard practice for intensive care admission after non-small cell lung cancer surgery. In this study, we aimed to determine ...
BACKGROUND: The diagnosis of idiopathic pulmonary fibrosis (IPF) is complex, which requires lung biopsy, if necessary, and multidisciplinary discussio...
In recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research. ...
On 6 November 2024, the Royal College of Physicians of Edinburgh (RCPE) hosted its annual gastroenterology symposium, marking the first collaboration ...
BACKGROUND: Remdesivir (RDV) was the first antiviral approved for mild-to-moderate COVID-19 and for those patients at risk for progression to severe d...
Psychiatric symptoms such as depressed mood, feelings of worthlessness, and anxiety can be exacerbated in adolescents by online content that mirrors t...
BACKGROUND: Patients presenting with non-ST elevation myocardial infarction (NSTEMI) are typically evaluated using coronary angiography and managed th...
Traffic injuries are a major public health concern globally. This study uses machine learning (ML) and geographic analysis to analyse road traffic fat...
Ophthalmic anesthesia the crucial factors in success and safety of ophthalmic surgery, which involves the delicate aspects of pain control, sedation, ...
Sepsis is a highly variable condition, and tracking leukocyte patterns may offer insights for tailored treatment and prognosis. We used the MIMIC-IV d...