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Smart microscope detects blood infections with 93% accuracy (AI/Microbiology - 2016-12 - FutureScope)
Microbiologists from Harvard’s Beth Israel Deaconess Medical Center have developed a smart microscope that employs AI to accurately diagnose deadly blood infections. The microscope is enhanced with machine learning technology, and initial tests achieved 93% accuracy.
AI can detect bowel cancer in less than a second with 94% accuracy (AI/Radiology - 2016-10 - ZDNet)
Researchers from Showa University in Yokohama, Japan have built software that can detect bowel cancer in less than a second. In recently-conducted trials, the AI-powered system was able to spot colorectal adenomas – which are benign tumours that can evolve into cancer – from magnified endoscopic images. The images were matched against 30,000 others that were used for machine learning. The system analyzed more than 300 colorectal adenomas in 250 patients, taking less than a second to assess each magnified endoscopic image and determine the malignancy of the tumours with 94 percent accuracy.
AI and life support for seniors in 2030 (AI/Geriatrics - 2016-09 - Stanford University)
ELDERCARE FORECAST: Smart devices in the home will help with daily living activities (cooking, dressing, toileting). In-home health monitoring and health information access will detect changes in mood or behavior and alert caregivers. Better hearing aids and visual assistive devices will mitigate the effects of hearing and vision loss, improving safety and social connection. Personalized rehabilitation and in-home therapy will reduce the need for hospital or care facility stays. Physical assistive devices (intelligent walkers, wheelchairs, and exoskeletons) will extend the range of activities of an infirm individual.
AI reads mammograms with 99% accuracy (AI/Radiology - 2016-09 - Futurism)
A team from the Houston Methodist Research Institute has developed artificial intelligence software that analyzes mammograms for breast cancer with 99% accuracy. This could help keep women from undergoing unnecessary biopsies and would shield them from the agony of false positives.