AIMC Topic: Prospective Studies

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Impact of the presence of a humanoid robot in the anesthesia visit waiting room on patient's satisfaction: the PEPPER before-after study.

Minerva anestesiologica
BACKGROUND: The quality of information during a medical visit, such as a preoperative anesthesia visit, impacts patient's satisfaction. New digital supports, including humanoid robots, have been recently proposed to provide medical information to pat...

Robotic inguinal hernia repair: is the new Da Vinci single port platform providing any benefit?

Surgical endoscopy
BACKGROUND: The utilization of the robot for inguinal hernia repairs has increased in the past years. The new Da Vinci Single Port (SP) system provides the benefits of single-incision procedures and might overcome the technical difficulties of previo...

Multi-task deep learning based on T2-Weighted Images for predicting Muscular-Invasive Bladder Cancer.

Computers in biology and medicine
BACKGROUND: An accurate preoperative assessment of Non-Muscle-Invasive Bladder Cancer (NMIBC) and Muscle-Invasive Bladder Cancer (MIBC) in Bladder Cancer (BCa) can help the urologist make diagnostic decisions. Considering the absence of multiparametr...

Characteristics of Artificial Intelligence Clinical Trials in the Field of Healthcare: A Cross-Sectional Study on ClinicalTrials.gov.

International journal of environmental research and public health
Artificial intelligence (AI) has driven innovative transformation in healthcare service patterns, despite a lack of understanding of its performance in clinical practice. We conducted a cross-sectional analysis of AI-related trials in healthcare base...

Virtual classroom proficiency-based progression for robotic surgery training (VROBOT): a randomised, prospective, cross-over, effectiveness study.

Journal of robotic surgery
Robotic surgery training has lacked evidence-based standardisation. We aimed to determine the effectiveness of adjunctive interactive virtual classroom training (VCT) in concordance with the self-directed Fundamentals of Robotic Surgery (FRS) curricu...

Predictive uncertainty estimation for out-of-distribution detection in digital pathology.

Medical image analysis
Machine learning model deployment in clinical practice demands real-time risk assessment to identify situations in which the model is uncertain. Once deployed, models should be accurate for classes seen during training while providing informative est...

Robotic transanal excision of rectal lesions: expert perspective and literature review.

Journal of robotic surgery
Transanal excision of benign lesions, moderately or well-differentiated rectal T1 adenocarcinomas is typically completed via transanal endoscopic microsurgery (TEM) or laparoscopic transanal minimally invasive surgery (TAMIS). Robotic platforms provi...

A validated artificial intelligence-based pipeline for population-wide primary immunodeficiency screening.

The Journal of allergy and clinical immunology
BACKGROUND: Identification of patients with underlying inborn errors of immunity and inherent susceptibility to infection remains challenging. The ensuing protracted diagnostic odyssey for such patients often results in greater morbidity and suboptim...

Pivotal challenges in artificial intelligence and machine learning applications for neonatal care.

Seminars in fetal & neonatal medicine
Clinical decision support systems (CDSS) that are developed based on artificial intelligence and machine learning (AI/ML) approaches carry transformative potentials in improving the way neonatal care is practiced. From the use of the data available f...