Swedish study shows that the use of AI led to the detection of 20 percent more breast cancer
AI can help with detecting breast cancer. Image credit: Shutterstock.
Artificial Intelligence (AI) is revolutionizing the field of medical imaging, offering potential benefits such as increased diagnostic accuracy and efficiency.
In Sweden, scientists from the Massachusetts Alzheimer’s Disease Research Center use artificial intelligence to identify Alzheimer’s disease risk at 90% accuracy.
Elsewhere, AI technologies are being integrated into medical imaging processes to expedite diagnoses and reduce workload for healthcare professionals.
A study at a Swedish mammography center demonstrated that the use of AI technology led to the detection of 20% more breast cancer cases compared to traditional methods without AI support.
This trend extends beyond Sweden, with Lehigh Valley Health Network in the United States adopting AI for reading imaging studies and identifying conditions like pulmonary embolisms and neck fractures.
The development of AI algorithms that mimic human diagnostic processes could further streamline the diagnostic process and ensure greater diagnostic accuracy.
Changing with the times
Penny Pinnock writes for MedTech Intelligence. She states that “access to the latest diagnostic equipment and technology is crucial for healthcare organizations to keep pace with digital transformation and ensure the delivery of improved patient care.”
Artificial Intelligence has a range of applications in the field of medical imaging that could make a tangible benefit to healthcare outcomes
Penny Pinnock
Traditional radiology practices involve radiologists manually interpreting medical scans, which can be time-consuming and error-prone.
Monash University researchers have created an AI algorithm designed to replicate human scan reading, labeling, and comparison to benchmarks for improved diagnostic efficiency.
These advancements have significant implications for radiology professionals, who may need to adapt to these new technologies to maintain their effectiveness in the field.
Dr. Nina Kottler of Radiology Partners emphasizes that AI tools can assist radiologists in tasks like translating notes and managing electronic records, but also cautions against potential drawbacks such as the “hallucination effect.”
Healthcare providers worldwide are increasingly investing in AI technologies to enhance diagnostic capabilities and address staffing shortages.
Specialist finance solutions enable healthcare organizations to acquire advanced diagnostic equipment and technology, enabling them to stay competitive and provide enhanced patient care.
As these developments continue to reshape the medical imaging landscape, professionals and organizations must understand their implications and adapt accordingly.
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