Medical Technology

@Radiology_AI 2 years ago

Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging https://doi.org/10.1148/ryai.2021200267 @kalpathy1 @MatthewDLi @MGHMartinos #interpretableAI #saliencymap #MachineLearning https://t.co/sb4YUmCPDl

@GeneFiddler 4 years ago

The power of #BigData exemplified here. It's so important to have large samples when assessing pathogenicity of rare CNVs. Great work @GeorgeKirov1 et al. Medical consequences of pathogenic CNVs in adults: analysis of the UK Biobank https://jmg.bmj.com/content/56/3/131

@SwissCognitive 4 years ago

“#MachineLearning is particularly good at identifying patterns, which is deeply relevant to assessing patient risk. Risk scores are useful for communicating patient state, which is valuable in making efficient care decisions.” http://ow.ly/bAfz30px9lg #Healthcare #Medicine #AI

@venturebeat.com 5 years ago

Cytox Launches Collaboration Agreement with Mayo Clinic to Evaluate Novel Genetic Based Approaches for Assessing Alzheimer’s Risk

@venturebeat.com 6 years ago

Cytox in Collaboration with AKESOgen Extends Genetic Test for Assessing Alzheimer’s Risk to Include Saliva Samples

@stpiindia 6 years ago

#MachineLearning techniques show promise for supporting medical decisions: By quickly assessing risk, new algorithms may help triage patients and inform clinical decisions https://www.sciencedaily.com/releases/2018/02/180228085357.htm

@theverge.com 8 years ago

The FDA wants medical device creators to pay attention to cybersecurity

@BenedictEvans 8 years ago

RT @NewYorker: Assessing the year’s most notable medical findings: http://nyer.cm/d8VkHqc