@PinakiLaskar 2 years ago
Why are #machinelearning models trained to make medical decisions that perform at nearly the same level as human experts not in clinical use? https://www.linkedin.com/posts/pinakilaskar_machinelearning-algorithms-deeplearning-activity-6806429189512728576-8Dhl #BigData #Analytics #DataScience #Python #RStats #JavaScript #ReactJS #Serverless #Linux #Coding #100DaysofCode
@moorejh 3 years ago
The labels attached to images used to train machine-vision systems are often wrong. That could mean bad decisions by self-driving cars and medical algorithms. https://www.wired.com/story/foundations-ai-riddled-errors/ #machinelearning #datascience #deeplearning
@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
@behxyz 5 years ago
Can you trust "deep learning" models to make "medical decisions"? Join me at #TheAIConf in New York City on April 18 to hear more about "Interpretable Deep Learning in Healthcare". #AI #MachineLearning #Medicine #Healthcare
@chiragjp 5 years ago
A brilliant perspective in the era of #BigData and push-button #MachineLearning in biomedicine: opportunities for multiplicity of "biomarkup" and challenges they pose in medical decisions. From powerhouses at @Bos_CHIP @mandl and @arjunmanrai: https://jamanetwork.com/journals/jama/article-abstract/2724793
@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
@medickinson 7 years ago
How #MachineLearning can help medical doctors make informed decisions on patient treatment http://m.nzherald.co.nz/technology/news/article.cfm?c_id=5&objectid=11737511… https://twitter.com/i/web/status/792457114710974464