In medical schools, learning anatomy usually means dissecting cadavers and studying flat, two-dimensional pictures from books or screens. These methods have been used for a long time. But they come with some problems:
These problems can cause students to be less ready for clinical work, especially in the early part of their training.
Extended Reality (XR) includes Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR). These tools offer active and hands-on ways to learn anatomy. With 3D technology, students can interact with body parts in a virtual space. One popular software is 3D Organon, which offers detailed 3D models that users can control and view from different angles.
Some key benefits of 3D technology and VR in medical education are:
3D models and VR do not replace real practice like surgeries or cadaver work. But they help as extra training tools. VR can simulate surgery scenarios in a safe way without any risk to patients. This lets students practice before working with real people.
For example, a study using Medicalholodeck’s VR for thoracic surgery found that nearly 89% of students thought VR helped them understand surgery and diseases better. VR links theory to real skills.
Also, 97% of students liked how interactive the VR sessions were. This made learning more interesting and motivated them to learn more.
The VR systems used in schools are made to reduce discomfort. Only about 5.7% of students reported feeling sick while using VR, which means these tools can be safely used in medical training.
For people running hospitals and IT departments in the U.S., it’s important to see how 3D and VR can improve education. These technologies can:
Hospitals might work with XR companies or buy software like 3D Organon or Medicalholodeck to provide these tools. IT departments must prepare by having good hardware like VR headsets and fast computers, software setups, and secure networks. They also need to offer support and training for users.
Alongside 3D and VR, artificial intelligence (AI) helps make medical education and hospital work easier. AI can look at a lot of data to make learning fit each student and handle routine tasks automatically.
For example, Simbo AI uses natural language processing and machine learning to answer patient calls and direct them quickly. This improves patient experience and hospital workflow, especially in busy teaching hospitals.
Other AI tools help in emergency care by improving information flow and coordination during urgent events. Some systems also create fitness plans and monitor health for elderly or sick patients using data analytics.
In medical education, AI combined with VR and 3D platforms can make learning smarter by adjusting content based on student performance. This helps train healthcare workers for a future with more AI use.
Working together, schools, hospitals, and tech companies push forward the use of 3D, VR, and AI in health training.
For example, National Cheng Kung University in Taiwan has programs mixing AI robots, smart fitness, and emergency systems. Though based outside the U.S., such projects show ideas that U.S. institutions might adopt or partner with.
Medicalholodeck and 3D Organon are well-known platforms used worldwide, including in the U.S., helping bring digital tools into medical education.
U.S. schools and hospitals could think about working with these companies or investing individually. This can improve the accuracy of clinical training, meet accreditation needs, and prepare students for healthcare that uses more technology.
As medical teaching in the United States changes with technology, administrators and tech workers have an important job. They need to balance old teaching ways with new tools like 3D models, VR, and AI. This will create a well-rounded, practical, and easy-to-access education.
Adding these new technologies in American medical schools and hospitals takes careful planning, money, and teamwork between schools and tech experts. But the potential improvements in education and health care make this change useful and timely.
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