Practical Considerations of AI: Part 6 -- Ready, fire, aim

In part 6 of his Practical Considerations of AI series, PACSman Michael J....Read more on AuntMinnie.comRelated Reading: Practical Considerations of AI: Part 5 -- Reality check Practical Considerations of AI: Part 4 -- Adoption Practical Considerations of AI: Part 3 -- More AI issues Practical Considerations of AI: Part 2 -- ROI variables Practical Considerations of AI: Part 1 -- Paying for AIComments: 11/20/2019 7:52:17 AMDoctorDalai This is one of Mike's most important articles. The hype over AI has caused great harm in our field, influencing young skulls full of mush to avoid the field altogether, since "AI will take over".   The doom and gloom has pervaded the field, and is generally sourced from those who don't understand Radiology and don't care to do so. As Mike puts it with respect to the AI sales presentations: Because very few of these companies have staff who know anything about radiology and cardiology basics, let alone how to integrate AI into the interpretation workflow. I would add that in general, the AI folks don't know what they don't know. And it behooves us in the field to be very well aware of that. 11/20/2019 9:24:09 AMdocholliday126 The last paragraph says AI is ready for stand alone of mammo interpretation. That's not good.... 11/20/2019 10:42:36 AMThePACSman I re-read the article 4 times and didn't see that said but maybe my eyes are decieving me.   AI can be used as a valuable tool to aid the mammog...
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news

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Publication date: Available online 27 March 2020Source: Journal of the American College of RadiologyAuthor(s): Claire C. Conley, Bethany L. Niell, Bianca M. Augusto, McKenzie McIntyre, Richard Roetzheim, Kimberly Funaro, Susan T. Vadaparampil
Source: Journal of the American College of Radiology - Category: Radiology Source Type: research
Shortened protocol identifies more cancers than ultrasound or mammography.
Source: Diagnostic Imaging - Category: Radiology Authors: Tags: Breast Cancer Breast Health Ultrasound Breast Imaging Mammography MRI Screening Source Type: news
Studies suggesting artificial intelligence is as good or better than doctors at interpreting medical images are of poor quality Related items fromOnMedica Sentinel node biopsy first to check spread of oral cancer NICE updates lung cancer guidance Benefits of breast screening are overestimated, research suggests Annual mammograms do not cut cancer deaths Ultrasonography needed to check for ectopic pregnancy
Source: OnMedica Latest News - Category: UK Health Source Type: news
AbstractPurposeTo compare automated breast volumetric scanning (ABVS) with hand-held bilateral whole breast ultrasound (HHUS) prospectively in regards to patient workflow, woman preference, efficacy in lesion detection, and characterization.Materials and methodsSupplemental screening was performed with both ABVS and HHUS to 345 women with dense breasts and negative mammograms. Acquisition and evaluation times were recorded. Lesions were classified according to BIRADS US criteria and compared one to one. Women were recalled for a secondary HHUS examination if ABVS showed any additional lesions. Findings were compared based ...
Source: Archives of Gynecology and Obstetrics - Category: OBGYN Source Type: research
Source: Journal of General Internal Medicine - Category: Internal Medicine Source Type: research
Abstract Deep convolutional neural network (DCNN), now popularly called artificial intelligence (AI), has shown the potential to improve over previous computer-assisted tools in medical imaging developed in the past decades. A DCNN has millions of free parameters that need to be trained, but the training sample set is limited in size for most medical imaging tasks so that transfer learning is typically used. Automatic data mining may be an efficient way to enlarge the collected data set but the data can be noisy such as incorrect labels or even a wrong type of images. In this work we studied the generalization err...
Source: Physics in Medicine and Biology - Category: Physics Authors: Tags: Phys Med Biol Source Type: research
Private health insurers spend more than $2 billion a year to screen women in their 40s for breast cancer, though fewer than half those eligible undergo mammograms, a new study shows.
Source: Health News - UPI.com - Category: Consumer Health News Source Type: news
Diagnostic mammography is effective on its own for evaluating palpable breast...Read more on AuntMinnie.comRelated Reading: Ultrasound performance mixed in breast cancer survivors Deep-learning algorithm helps assess dense breasts Supplemental dense breast screening practices vary WISDOM breast cancer screening study now open to all Hey, Alexa -- Tell me about breast density
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news
The total national cost of annual breast cancer screening in a population of...Read more on AuntMinnie.comRelated Reading: Patients want screening mammography results via video More young women are developing breast cancer Docs lack consistency in breast cancer screening Patients want sensitive adjunct breast screening Do women over 75 need screening mammography?
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news
(JAMA Network) Researchers used a large commercial claims database to estimate the percentage of US women in their 40s with private insurance who were eligible and received screening mammography in 2017 and national costs for this screening.
Source: EurekAlert! - Cancer - Category: Cancer & Oncology Source Type: news
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