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A sneak peek of the current state and future use of artificial intelligence in pathology


A sneak peek of the current state and future use of artificial intelligence in pathology
Mar 8 2021
Artificial intelligence can already scan images of the eye to assess patients for diabetic retinopathy, a leading cause of vision loss, and find evidence of strokes on brain CT scans. But what does the future hold for this emerging technology? How will it change how doctors diagnose disease, and how will it improve the care patients receive?
Artificial intelligence will have a dramatic impact on the field of pathology, a team of top experts predicts. Image Credit: UVA Health
A team of doctors led by UVA Health’s James H. Harrison Jr., MD, PhD, has given us a glimpse of tomorrow in a new article on the current state and future use of artificial intelligence (AI) in the field of pathology. Harrison and other members of the College of American Pathologists’ Machine Learning Workgroup have spent the last two years evaluating the potential of AI and machine learning, ....

United States , Johnr Gilbertson , Nielsh Olson , Matthewg Hanna , Jamesm Sorace , Jansenn Seheult , Michellen Stram , College Of American Pathologists , Drug Administration , Health Jamesh Harrison Jr , American Medical Association , Archives Of Pathology Laboratory Medicine , Department Of Pathology , College Of American Pathologist Machine Learning Workgroup , Clinical Laboratory Informatics , American Pathologist Machine Learning Workgroup , Tony Stark , Laboratory Medicine , Machine Learning Workgroup , American Pathologist Informatics , Artificial Intelligence , Diabetic Retinopathy , Machine Learning , Vision Loss , ஒன்றுபட்டது மாநிலங்களில் , கல்லூரி ஆஃப் அமெரிக்கன் நோயியல் நிபுணர்கள் ,

Using decision theory for precise choice of breast cancer treatment


Using decision theory for precise choice of breast cancer treatment
The precise choice of treatment for breast cancer depends upon the status of the hormone receptors (for estrogen and progesterone). Their conventional determination by means of immunohistochemistry (IHC) is associated with a certain error rate, which can be reduced by adding genomic data.
Even conventional statistics can bring about a notable improvement but now it is possible to use decision theory to optimally combine diagnostic findings, particularly where they are contradictory.
This is the finding of a recent study conducted by MedUni Vienna under the leadership of Wolfgang Schreiner from the Center for Medical Statistics, Informatics and Intelligent Systems (CeMSIIS). ....

Wolfgang Schreiner , Cacsire Castillo , Emily Henderson , Meduni Vienna Division , University Of Vienna , Meduni Vienna , Medical Statistics , Intelligent Systems , General Gynecology , Gynecologic Oncology , Medical University , Big Data , Christian Singer , Cacsire Castillo Tong , Standard Operating Procedures , Breast Cancer , Gene Expression , ஓநாய் ஸ்ச்சிரேனேற் , எமிலி ஹென்டர்சன் , பல்கலைக்கழகம் ஆஃப் வியன்னா , மருத்துவ புள்ளிவிவரங்கள் , புத்திசாலி அமைப்புகள் , ஜநரல் பெண்ணோயியல் , பெண்ணோயியல் புற்றுநோயியல் , மருத்துவ பல்கலைக்கழகம் , பெரியது தகவல்கள் ,

FDA alerts consumers about improper use of thermal imaging systems, warns firms for marketing unapproved devices


FDA alerts consumers about improper use of thermal imaging systems, warns firms for marketing unapproved devices
The U.S. Food and Drug Administration today alerted consumers, health care providers and other users of thermal imaging systems intended to measure human body temperature also known as telethermographic systems, infrared thermographs, thermal cameras, and fever cameras that improper use of the systems may provide inaccurate temperature readings due to a variety of factors.
Additionally, the FDA issued several Warning Letters to certain firms offering unapproved, uncleared, and unauthorized thermal imaging systems for sale.
While thermal imaging is not an effective diagnostic device for COVID-19, it can determine if someone has an elevated temperature, which can be an important risk management tool during the pandemic when used properly. ....

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