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AI: Page 143
Could AI lower malpractice risk for physicians?
By
Erik L. Ridley
Although some legal scholars believe that liability concerns could hinder adoption of artificial intelligence (AI) software in personalized medicine, a new study published in the
Journal of Nuclear Medicine
found that physicians who follow the technology's advice may actually be shielded from malpractice liability.
January 11, 2021
FDA publishes action plan for medical AI software
By
Erik L. Ridley
The U.S. Food and Drug Administration (FDA) has published an action plan for medical artificial intelligence (AI) algorithms that includes a draft guidance, efforts to harmonize good machine-learning practices, and development of methodologies for evaluating algorithms and monitoring their real-world performance.
January 11, 2021
AI bolsters specificity of screening breast ultrasound
By
Erik L. Ridley
A diagnostic model that incorporates artificial intelligence (AI)-based quantitative analysis can significantly decrease false-positive rates for masses detected on screening breast ultrasound exams, potentially helping to reduce unnecessary biopsies, according to a study published online January 11 in
Scientific Reports
.
January 11, 2021
Can AI spot breast cancer years before radiologists?
By
Erik L. Ridley
A deep-learning algorithm successfully detected breast cancer on screening mammography, in some cases as early as two years before it was diagnosed during conventional interpretation, according to research published online January 11 in
Nature Medicine
. The algorithm also performed well with digital breast tomosynthesis (DBT) exams.
January 10, 2021
RefleXion partners with HealthMyne on cancer radiomics
By
AuntMinnie.com staff writers
Radiation therapy developer RefleXion Medical has signed a deal with HealthMyne to combine technologies to apply oncology radiomics to radiation therapy treatments.
January 7, 2021
Ultromics' AI software gets thumbs-up from regulators
By
AuntMinnie.com staff writers
The U.S. Food and Drug Administration has cleared EchoGo Pro, an artificial intelligence (AI) decision support software application from U.K. software developer Ultromics for identifying coronary artery disease on echocardiograms.
January 7, 2021
maiData makes first customer sales
By
AuntMinnie.com staff writers
Artificial intelligence (AI) startup maiData has made its first customer sales and will begin constructing data sets for AI firms to train and test their algorithms.
January 6, 2021
AI predicts metastasis in gastric cancer patients
By
Erik L. Ridley
An artificial intelligence (AI) algorithm can predict the presence of occult peritoneal metastasis in gastric cancer patients based on preoperative CT scans, potentially helping in treatment decision-making and avoiding unnecessary surgeries, according to research published online January 5 in
JAMA Network Open
.
January 6, 2021
Bioclinica acquires clinical trial AI firm
By
AuntMinnie.com staff writers
Clinical trial management services firm Bioclinica has acquired Saliency, the developer of an artificial intelligence (AI)-based software that speeds medical image interpretation to help support pharmaceutical and medical device clients in clinical trials.
January 5, 2021
Nanox, USARad plan AI-powered radiology service
By
AuntMinnie.com staff writers
X-ray technology company Nanox and teleradiology services provider USARad are teaming up to introduce a radiology diagnostic service that will utilize over 300 radiologists and over 20 artificial intelligence (AI)-based decision-support algorithms.
January 4, 2021
Change launches cloud-based imaging applications
By
AuntMinnie.com staff writers
Healthcare information systems vendor Change Healthcare has introduced a suite of cloud-based imaging tools aimed at providing radiologists with broader access to available imaging studies and patient histories when making diagnoses.
January 4, 2021
AI helps predict lung cancer screening eligibility
By
Kate Madden Yee
An artificial intelligence (AI) deep learning-based risk prediction model trained on chest x-rays and medical record data improves assessment of patients' eligibility for CT lung cancer screening, according to a review published December 15 in the
American Journal of Roentgenology
.
January 3, 2021
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