Kevin E Tiede, Wolfgang Gaissmaier
How Do People Process Different Representations of Statistical Information? Insights into Cognitive Effort, Representational Inconsistencies, and Individual Differences
Medical decision making : an international journal of the Society for Medical Decision Making
fully automated accurate assay rare cell phenotypes denselypacked fluorescentlylabeled liquid biopsy images remains elusive methods employing hybrid artificial intelligence ai paradigm combines traditional rulebased morphological manipulations modern statistical machine learning deployed next generation software alice automated liquid biopsy cell enumerator identify enumerate minute amounts tumor cell phenotypes bestrewed massive populations leukocytes code designed futurity alice armed internet things iot connectivity promote pedagogy continuing education also advanced cybersecurity system safeguard digital attacks malicious data tampering results combining robust principal component analysis random forest classifier cubic support vector machine alice able detect synthetic anomalous tampered input images average recall precision 0840 0752 respectively terms phenotyping enumeration alice able enumerate various circulating tumor cell ctc phenotypes reliability ranging 0725 substantial agreement 0961 almost perfect compared human analysts two subpopulations circulating hybrid cells chcs serendipitously discovered labeled chc1 dapicd45ecadherinvimentin chc2 dapi cd45ecadherinvimentin peripheral blood pancreatic cancer patients chc1 found correlate nodal staging able classify lymph node metastasis sensitivity 0615 95 ci 03740898 specificity 1000 95 ci 10001000 conclusion study presented machinelearningaugmented rulebased hybrid ai algorithm enhanced cybersecurity connectivity automatic flexiblyadapting enumeration cellular liquid biopsies alice potential used clinical setting accurate reliable enumeration ctc phenotypes