From the November 2021 issue of HealthCare Business News magazine
The study adds further insight on recent breakthroughs in natural language processing, including the launch of larger transformer-based models such as BERT and BioBERT. Both have been trained on huge collections of unlabeled text such as all of English Wikipedia and all PubMed Central abstracts and free articles.
New AI model diagnoses dementia in one single scan
British researchers at Cambridge University and Addenbrooke’s hospital developed an AI system that, in August, they said could diagnoses forms of dementia in one single brain scan.
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If successful in testing, the solution may do away with the need for several scans and tests to diagnose dementia and allow for earlier diagnoses that could improve patient outcomes, according to the BBC.
It also may be able to predict if the patient will remain stable for years, slowly deteriorate or should be immediately treated, say the researchers. "If we intervene early, the treatments can kick in early and slow down the progression of the disease and at the same time avoid more damage," said professor Zoe Kourtzi, of Cambridge University and a fellow of the U.K.’s center for AI and data science, The Alan Turing Institute, in a statement.
Diagnosing dementia like Alzheimer’s Disease can be a four to 12 week process due to the number of tests involved and waiting lists, according to the U.K.’s Alzheimer’s Society.
The system utilizes an algorithm that cross-references information from scans of thousands of confirmed dementia patients and their relevant medical records to identify patterns in medical brain images of those who are suspected of having dementia. It can even identify patterns expert neurologists cannot see, according to Kourtzi.
Fujifilm combines mammography system with ScreenPoint Medical's reading software
Also in August, ScreenPoint Medical’s Transpara solution became accessible on Fujifilm’s ASPIRE Cristalle mammography system with digital breast tomosynthesis to enhance reading accuracy for radiologists.
Powered by Fusion AI for 2D and 3D mammography, Transpara is expected to help ASPIRE Cristalle users to identify lesions earlier, and in the long-term, reduce breast cancer mortality rates.
“As AI continues to advance, it has the potential to reshape modern healthcare and breast cancer screenings. It has the potential to improve radiologist's workflow by flagging priority cases and directing mammographers to suspect areas. With the power of AI, these exams would automatically move up in the queue so readers can review and diagnose them immediately to prescribe fast next steps and accurate care,” Christine Murray, women's health product manager for Fujifilm Medical Systems U.S.A., told HCB News.
