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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 ,

The amazing promise of artificial intelligence in health care


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IMAGE: 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.
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Credit: UVA Health
Artificial intelligence can already scan images of the eye to assess patients for diabetic retinopathy, a leading cause of vision loss, and to 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?
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, assessing its current role in ....

United States , American Medical Association , Department Of Pathology , Drug Administration , Health Jamesh Harrison Jr , Clinical Laboratory Informatics , College Of American Pathologist Machine Learning Workgroup , American Pathologist Machine Learning Workgroup , Tony Stark , Medicine Health , Health Care Systems Services , Internal Medicine , Metabolism Metabolic Diseases , ஒன்றுபட்டது மாநிலங்களில் , அமெரிக்கன் மருத்துவ சங்கம் , துறை ஆஃப் நோயியல் , மருத்துவ ஆய்வகம் தகவல் , கல்லூரி ஆஃப் அமெரிக்கன் நோயியல் நிபுணர் இயந்திரம் கற்றல் பணிக்குழு , அமெரிக்கன் நோயியல் நிபுணர் இயந்திரம் கற்றல் பணிக்குழு , டோனி அப்பட்டமான , மருந்து ஆரோக்கியம் , ஆரோக்கியம் பராமரிப்பு அமைப்புகள் சேவைகள் , உள் மருந்து , வளர்சிதை மாற்றம் வளர்சிதை மாற்ற நோய்கள் ,