AIMC Topic: Education, Medical, Continuing
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ChatGPT-4 Performance on German Continuing Medical Education-Friend or Foe (Trick or Treat)? Protocol for a Randomized Controlled Trial.
JMIR research protocols
Feb 6, 2025
BACKGROUND: The increasing development and spread of artificial and assistive intelligence is opening up new areas of application not only in applied medicine but also in related fields such as continuing medical education (CME), which is part of the...
For the busy clinical-imaging professional in an AI world: Gaining intuition about deep learning without math.
Journal of medical imaging and radiation sciences
Oct 21, 2024
Medical diagnostics comprise recognizing patterns in images, tissue slides, and symptoms. Deep learning algorithms (DLs) are well suited to such tasks, but they are black boxes in various ways. To explain DL Computer-Aided Diagnostic (CAD) results an...
Continuing Medical Education Questions: August 2024.
The American journal of gastroenterology
Mar 14, 2024
Article Title: Machine Learning Models for Pancreatic Cancer Risk Prediction Using Electronic Health Record Data-A Systematic Review and Assessment.
[Artificial intelligence: Guidelines for internists].
La Revue de medecine interne
Dec 31, 2019
Following the emergence of open public databases and connected objects, big data and artificial intelligence are developing rapidly, especially in medicine, with many opportunities ranging from complex diagnostic assistance to real-time statistical a...
Feasibility of an AI-Based Measure of the Hand Motions of Expert and Novice Surgeons.
Computational and mathematical methods in medicine
Mar 4, 2018
This study investigated whether parameters derived from hand motions of expert and novice surgeons accurately and objectively reflect laparoscopic surgical skill levels using an artificial intelligence system consisting of a three-layer chaos neural ...
Development of an intelligent surgical training system for Thoracentesis.
Artificial intelligence in medicine
Nov 21, 2017
Surgical training improves patient care, helps to reduce surgical risks, increases surgeon's confidence, and thus enhances overall patient safety. Current surgical training systems are more focused on developing technical skills, e.g. dexterity, of t...
Assessment of robotic patient simulators for training in manual physical therapy examination techniques.
PloS one
Apr 29, 2015
Robots that simulate patients suffering from joint resistance caused by biomechanical and neural impairments are used to aid the training of physical therapists in manual examination techniques. However, there are few methods for assessing such robot...
Detecting tympanostomy tubes from otoscopic images via offline and online training.
Computers in biology and medicine
Apr 4, 2015
Tympanostomy tube placement has been commonly used nowadays as a surgical treatment for otitis media. Following the placement, regular scheduled follow-ups for checking the status of the tympanostomy tubes are important during the treatment. The comp...
Development and Validation of a Novel Robotic Procedure Specific Simulation Platform: Partial Nephrectomy.
The Journal of urology
Mar 20, 2015
PURPOSE: We developed a novel procedure specific simulation platform for robotic partial nephrectomy. In this study we prospectively evaluate its face, content, construct and concurrent validity.
Face, content, and construct validity of four, inanimate training exercises using the da Vinci ® Si surgical system configured with Single-Site ™ instrumentation.
Surgical endoscopy
Nov 1, 2014
BACKGROUND: Validated training exercises are essential tools for surgeons as they develop technical skills to use robot-assisted minimally invasive surgical systems. The purpose of this study was to show face, content, and construct validity of four,...
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