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Artificial intelligence (AI), defined as algorithms built to reproduce human behavior, has various applications in health care such as risk prediction, medical image classification, text analysis, and complex disease diagnosis. Due to the increasing availability and volume of data, especially from electronic health records, AI technology is expanding into all fields of nursing and medicine. As the health care system moves toward automation and computationally driven clinical decision-making, nurses play a vital role in bridging the gap between the technological output, the patient, and the health care team.
View Article and Find Full Text PDFSARS-CoV-2 SPIKE Antibody Levels can Indicate Immuno-Resilience to Re-infection: a Real-World Study.
Infect Dis Ther
December 2024
Roche Diagnostics GmbH, Nonnenwald 2, 81377, Penzberg, Germany.
Introduction: The use of antibody titers against SARS-CoV-2, as a method of estimating subsequent infection following infection or vaccination, is unclear. Here, we investigate whether specific levels of antibodies, as markers of adaptive immunity, can serve to estimate the risk of symptomatic SARS-CoV-2 (re-) infection.
Methods: In this real-world study, laboratory data from individuals tested for SARS-CoV-2 antibodies under routine clinical conditions were linked through tokenization to a United States medical insurance claims database to determine the risk of symptomatic/severe SARS-CoV-2 infection outcomes.
Characterizing patterns of opioid prescribing after outpatient ventral hernia repair with mesh.
Hernia
December 2024
Department of Surgery, Cleveland Clinic, Cleveland, OH, USA.
Purpose: Despite efforts to minimize opioid prescribing, outpatient ventral hernia repair (VHR) with mesh remains notoriously painful, often requiring postoperative opioid analgesia. Here, we aim to characterize patterns of opioid prescribing for the heterogenous group of patients and procedures that comprise mesh-based, outpatient VHR.
Methods: The Abdominal Core Health Quality Collaborative registry was queried for patients undergoing VHR with mesh who were discharged the same or next day between January 2019 to October 2023.
Anatomical recognition of dissection layers, nerves, vas deferens, and microvessels using artificial intelligence during transabdominal preperitoneal inguinal hernia repair.
Hernia
December 2024
Department of Surgery, Tsudanuma Central General Hospital, 1- 9-17 Yatsu, Narashino, Japan.
Purpose: In laparoscopic inguinal hernia surgery, proper recognition of loose connective tissue, nerves, vas deferens, and microvessels is important to prevent postoperative complications, such as recurrence, pain, sexual dysfunction, and bleeding. EUREKA (Anaut Inc., Tokyo, Japan) is a system that uses artificial intelligence (AI) for anatomical recognition.
View Article and Find Full Text PDFAssociation of diabetic retinopathy with kidney disease progression according to baseline kidney function and albuminuria status in individuals with type 2 diabetes.
Clin Exp Nephrol
December 2024
Division of Diabetology and Metabolism, Department of Internal Medicine, Tokyo Women's Medical University School of Medicine, 8-1 Kawada-Cho, Shinjuku-Ku, Tokyo, 162-8666, Japan.
Background: Whether diabetic retinopathy (DR) can predict kidney disease progression in individuals with diabetes remains unclear. Furthermore, there are only a limited number of studies investigating the association between DR and kidney outcomes classified according to baseline kidney function and albuminuria status. Here, we examined the association of DR with kidney disease progression in individuals with type 2 diabetes.
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