Latest AI and machine learning research in medical education for healthcare professionals.
BACKGROUND: Globally, robotic surgery (RS) has witnessed remarkable growth, yet Australia and New Zealand (ANZ) lack dedicated RS training programs, creating a workforce gap. This narrative review synthesises international research to explore trends and challenges in robotic education.
BACKGROUND: Being digitally literate allows health-based science students to access reliable, up-to-date information efficiently and expands the capacity for continuous learning. Digital literacy facilitates effective communication and collaboration among other healthcare providers. It helps to navigate the ethical implications of using digital technologies and aids the use of digital tools in man...
Investigations in the field of spiking neural networks (SNNs) encompass diverse, yet overlapping, scientific disciplines. Examples range from purely n...
We assessed the performance of OpenAI's ChatGPT-4 on United States Medical Licensing Exam STEP 1 style questions across the systems and disciplines ap...
BACKGROUND: The General Internal Medicine Acting Internship (GIM AI) at our school is a compulsory, one-month-long experience. Morning report-style ca...
Urbanisation is a key aspect of land use change (LUC), and accurately modelling of urban LUC is crucial for sustainable development. Cellular automata...
The planning of adequately powered research designs increasingly goes beyond determining a suitable sample size. More challenging scenarios demand sim...
. Ultrasound localization microscopy (ULM) enables microvascular reconstruction by localizing microbubbles (MBs). Although ULM can obtain microvascula...
Artificial intelligence (AI) is rapidly transforming our world, making it imperative to educate the next generation about both the potential benefits ...
An Artificial Intelligence (AI)-enabled human-centered smart healthcare monitoring system can be useful in life saving, specifically for diabetes pati...
Non-expert users can now program robots using various end-user robot programming methods, which have widened the use of robots and lowered barriers pr...
ChatGPT, the new bustle in the field of technology, is attracting millions of users worldwide with its impressive skills to perform multiple tasks in ...
Transcranial magnetic stimulation (TMS) has emerged as a prominent non-invasive technique for modulating brain function and treating mental disorders....
Deep reinforcement learning (RL) is used as a strategy to teach robot agents how to autonomously learn complex tasks. While sparsity is a natural way ...
On freeways, sudden deceleration or lane-changing by vehicles can trigger conflict risk that propagates backward in a specific pattern. Simulating thi...
Most quantitative magnetization transfer (qMT) imaging methods require acquiring additional quantitative maps (such as T) for data fitting. A method b...
UNLABELLED: Large language models like ChatGPT are a type of machine learning model that can offer a positive paradigm shift in case-based/problem-bas...
PURPOSE: In late 2022 and early 2023, reports that ChatGPT could pass the United States Medical Licensing Examination (USMLE) generated considerable e...
In the field of medical image analysis within deep learning (DL), the importance of employing advanced DL techniques cannot be overstated. DL has achi...
The Model Core Curriculum for Medical Education in Japan was revised in 2022. It aimed to reflect changes in the nature of medical care, including the...