December 2023—Digital pathology and AI—the push, the potential, the changing questions, the reimbursement, and the caution. All that and more came up when CAP TODAY publisher Bob McGonnagle on Oct. 17 led a conversation online with pathologists and industry representatives.
Read More »Generative AI, from education to corner cases
Generative artificial intelligence—what it is, how it can be used in pathology, what stands in its way, why the excitement. CAP TODAY publisher Bob McGonnagle spoke about that and more with pathologists Bobbi Pritt, MD, MSc, and Scott Anderson, MD; Ajit Singh, PhD, of Stanford and Artiman Ventures; and Devon Snedden, a health care consultant in artificial intelligence. “There are a lot of excellent possibilities that we’re just starting to understand and explore for the field of pathology,” said Dr. Pritt of Mayo Clinic.
Read More »AI-driven spatial biology: the next next-gen sequencing
November 2023—Spatial biology may be an emerging field, but Kenneth Bloom, MD, says he and other pathologists have been doing it “since we got the microscope.” And he argues it’s going to become “the new, most important lens we look through.” The reason is the emergence of new cancer treatments like immunotherapy and, most importantly, antibody drug conjugates like Enhertu, says Dr. Bloom, head of pathology for Nucleai, a company specializing in AI-powered spatial biology.
Read More »Lab leaders on moving markets and tipping points
July 2023—Digital pathology, the pathology workforce, and the clinical demand for subspecialty expertise were some of what Compass Group lab leaders took on in their June 6 conversation, with CAP TODAY publisher Bob McGonnagle leading the way.
Close-up on AI-driven assistive tools in pathology
March 2023—Assessing cardiac allograft rejection from endomyocardial biopsy and assigning a differential diagnosis to cancers of unknown origin have been shown to get a boost from AI-driven computational pathology models. So too has identifying subregions of high diagnostic value on whole slide images.
Read More »‘Doing more for less and with less’: Turning to IT
February 2023—As this year’s guide to anatomic pathology computer systems was taking shape, CAP TODAY publisher Bob McGonnagle met online with representatives of five companies and with John Sinard, MD, PhD, of Yale University School of Medicine. They talked about the cloud, CPT codes, training of pathology informaticians, and artificial intelligence, for which the time frame in pathology is far longer than it’s been portrayed, in Dr. Sinard’s view. “It will start to impact the careers of some of our trainees, but it’s probably a 10- to 20-year time frame before it plays a major role,” he said. The view of Joe Nollar of Xifin: “Speculation that AI will someday replace pathologists is completely overblown,” though it will help to triage cases and mitigate risk. Their full conversation, which took place Dec. 20, 2022, follows.
Read More »Artificial intelligence in pathology: the tools, the talk
December 2022—In September, when CAP TODAY publisher Bob McGonnagle met with pathologists and representatives of companies to talk about laboratory information systems (“Lab information systems—where the needs are greatest,” https://bit.ly/LIS_112022), they talked also about artificial intelligence—innovations, clinical impact, how much interest there is. That part of their conversation follows.
Read More »Newsbytes
September 2022—Do you want to play a role in solving a problem or improving a process in your laboratory via machine learning or artificial intelligence but don’t know where to begin? If so, take some time to learn, listen, share, and, perhaps, have a cup of coffee, says Scott Doyle, PhD, biomedical engineer at the State University of New York at Buffalo.
Read More »A look ahead at AI-based assistance in anatomic pathology
February 2022—In a survey of the international pathology community on the integration of artificial intelligence into diagnostic pathology practice, 80 percent of the 487 respondents predicted integration within the next five or 10 years.
Read More »Cytopathology in focus: At the center of AI implementation in cytopathology
August 2021—Recent advances in the deep learning area of artificial intelligence offer tantalizing opportunities to improve cytology practice. However, aside from the commercially available options for automated screening in gynecologic cytology, systems with applications in cytology have largely been used in research settings only. The article by authors McAlpine and Michelow reviews the approach to developing and validating artificial intelligence algorithms in cytology, from the generation of appropriate cytology data sets to clinical validation of the model.
Read More »Targeting microbiology lab efficiency with AI
August 2020—Bringing an automated culture plate reading system into the Hennepin County Medical Center microbiology laboratory was never a question of if but when. “We need artificial intelligence to help us with active decision-making processes in the lab,” says Glen Hansen, PhD.
Read More »Outbreak detection of novel pathogens: Is AI the answer?
July 2020—A machine learning algorithm, used in conjunction with BioFire’s Syndromic Trends, demonstrated a mechanism for near real-time outbreak detection of enterovirus D68, says a study reported in the Journal of Clinical Virology.
Read More »AI roundtable: hopes, hurdles, hype vs. reality
Michael Becich, MD, PhD, of the University of Pittsburgh School of Medicine, and five others spoke with CAP TODAY publisher Bob McGonnagle in March about the hype versus reality of artificial intelligence and the tension around it. Here is what they had to say.
Can machine learning algorithms predict lab values?
February 2020—At Massachusetts General Hospital, machine learning is being used in the laboratories to build next-level clinical decision support, and in the latest phase, it’s undergoing trial for use in predicting laboratory results. “I think this is the new paradigm for cost-effective laboratory medicine. This is an important way we’re going to change how we do business,” says Anand Dighe, MD, PhD, who spoke about machine learning techniques for labs during a CAP19 presentation last fall and in a recent interview with CAP TODAY.
Read More »Artificial intelligence: what’s possible, why now?
July 2018—When it comes to artificial intelligence, it can be difficult to distinguish hyperbole from reality. So how much can AI truly replace human tasks in society and, more specifically, in medicine?
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