Objectives: To study the clinical applicability of the expert system URGSANT as a help in making up decisions in emergencies.
Material And Methods: URGSANT is an expert system implemented in INSIGT 2+ which is structured in a modular and hierarchical form. It contemplates 44 urgent situations relating to the central nervous system, hematopoietic, cardiovascular, respiratory, gastrointestinal, genitourinary, endocrinological, and miscellaneous group. Validation of the program was made by four anesthesiologists who evaluated the performance of the program in 25 emergency cases and in 25 other situations that were treated by other specialists.
Results: The rationale of the system was basically correct. In most cases the program was considered efficient or very efficient during the different clinical situations and only in one case its guidance was wrong.
Conclusions: The URGSANT expert system is an efficient and useful method for the clinician during emergency situations.
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JAMA Cardiol
January 2025
Department of Emergency Medicine, Rush University Medical Center, Chicago, Illinois.
Importance: Lung ultrasound (LUS) aids in the diagnosis of patients with dyspnea, including those with cardiogenic pulmonary edema, but requires technical proficiency for image acquisition. Previous research has demonstrated the effectiveness of artificial intelligence (AI) in guiding novice users to acquire high-quality cardiac ultrasound images, suggesting its potential for broader use in LUS.
Objective: To evaluate the ability of AI to guide acquisition of diagnostic-quality LUS images by trained health care professionals (THCPs).
Pain Ther
January 2025
Robert Wood Johnson University Hospital/Rutgers Medical School, New Brunswick, NJ, USA.
Introduction: Many interventional strategies are commonly used to treat chronic low back pain (CLBP), though few are specifically intended to target the distinct underlying pathomechanisms causing low back pain. Restorative neurostimulation has been suggested as a specific treatment for mechanical CLBP resulting from multifidus dysfunction. In this randomized controlled trial, we report outcomes from a cohort of patients with CLBP associated with multifidus dysfunction treated with restorative neurostimulation compared to those randomized to a control group receiving optimal medical management (OMM) over 1 year.
View Article and Find Full Text PDFLangenbecks Arch Surg
January 2025
Department for the Promotion of Medical Device Innovation, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.
Purpose: Assessing surgical skills is vital for training surgeons, but creating objective, automated evaluation systems is challenging, especially in robotic surgery. Surgical procedures generally involve dissection and exposure (D/E), and their duration and proportion can be used for skill assessment. This study aimed to develop an AI model to acquire D/E parameters in robot-assisted radical prostatectomy (RARP) and verify if these parameters could distinguish between novice and expert surgeons.
View Article and Find Full Text PDFJ Neurol
January 2025
Parkinson's Disease Research Clinic, Macquarie University, 75 Talavera Road, Sydney, NSW, 2109, Australia.
Impulse Control Disorders (ICDs) are increasingly recognized as a significant non-motor complication in Parkinson's disease (PD), impacting patients and their caregivers. ICDs in PD are primarily associated with dopaminergic treatments, particularly dopamine agonists, though not all patients develop these disorders, indicating a role for genetic and other clinical factors. Studies over the past few years suggest that the mesocorticolimbic reward system, a core neural substrate for impulsivity, is a key contributor to ICDs in PD.
View Article and Find Full Text PDFJ Am Med Inform Assoc
January 2025
Sinclair School of Nursing, University of Missouri, Columbia, MO 65211, United States.
Objective: This study aimed to explore the utilization of a fine-tuned language model to extract expressions related to the Age-Friendly Health Systems 4M Framework (What Matters, Medication, Mentation, and Mobility) from nursing home worker text messages, deploy automated mapping of these expressions to a taxonomy, and explore the created expressions and relationships.
Materials And Methods: The dataset included 21 357 text messages from healthcare workers in 12 Missouri nursing homes. A sample of 860 messages was annotated by clinical experts to form a "Gold Standard" dataset.
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