Telemedicine
A group to discuss thoughts and trends around telemedicine.
Organizer:
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Artificial intelligence in orthopedic imaging
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Artificial intelligence in orthopedic imaging
Patient screening and monitoring are essential parts of hospital/patient management. With the development of deep learning algorithms, individual assignments might be assisted by artificial intelligence (AI).
➤ Artificial intelligence (AI) provides machines with the ability to perform tasks using algorithms governed by pattern recognition and self-correction on large amounts of data to narrow options in order to avoid errors.
➤ The 4 things necessary for AI in medicine include big data sets, powerful computers, cloud computing, and open source algorithmic development.
➤ The use of AI in health care continues to expand, and its impact on orthopedic surgery can already be found in diverse areas such as image recognition, risk prediction, patient-specific payment models, and clinical decision-making.
➤ Just as the business of medicine was once considered outside the domain of the orthopedic surgeon, emerging technologies such as AI warrant ownership, leverage, and application by the orthopedic surgeon to improve the care that we provide to the patients we serve.
➤ AI could provide solutions to factors contributing to physician burnout and medical mistakes. However, challenges regarding the ethical deployment, regulation, and the clinical superiority of AI over traditional statistics and decision-making remain to be resolved.
1. Are you using AI yet to support your diagnostic imaging workflow?
2. Where do you see the biggest potential for AI to support your diagnostic decision process?
3. Where does telemedicine fit in to leverage the power of AI?
The orthopedic domain is just an example. Please feel free to discuss any other specialty.
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