Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Neoadjuvant chemoimmunotherapy has revolutionized the therapeutic strategy for non-small cell lung c...
PURPOSE: Artificial intelligence and deep learning solutions are increasingly utilized in healthcare...
BACKGROUND: Cardiovascular patients experience high rates of adverse outcomes following discharge fr...
hinotori™ is a recently developed surgical robot system. The present study aims to compare intraoper...
The Single-Port (SP) robotic system is increasingly being implemented in the United States, allowing...
Single-incision laparoscopic cholecystectomy (SILC) has declined in popularity, posing a challenge f...
BACKGROUND: Pre-operative risk assessment can help clinicians prepare patients for surgery, reducing...
It is important to determine the risk for admission to the intensive care unit (ICU) in patients wit...
This study aimed to assess the effectiveness and safety of robot-assisted versus fluoroscopy-assiste...
Methanol poisoning is a global public health concern, especially prevalent in developing nations. Th...
Immune thrombocytopenia (ITP) is an autoimmune disease characterized by antibody-mediated platelet d...
IMPORTANCE: By law, patients have immediate access to discharge notes in their medical records. Tech...
The field of omics, driven by advances in high-throughput sequencing, faces a data explosion. This a...
Artificial intelligence (AI) has the potential to improve the surgical treatment of patients with he...
To explore the learning curve of robot-assisted laparoscopic pyeloplasty (RALP) in children. The cli...
Postoperative ileus (POI) is the leading cause of prolonged hospital stay after abdominal surgery an...
Flow cytometry is a key clinical tool in the diagnosis of many hematologic malignancies and traditio...
The reliable classification of motor unit action potentials (MUAPs) provides the possibility of trac...
The influence of Medicaid or being uninsured is prevailingly thought to negatively impact a patient'...
To compare the learning curve of mediastinal mass resection between robot-assisted surgery and thora...
BACKGROUND: To develop machine learning (ML) models predicting unplanned readmission and reoperation...