Can Artificial Intelligence Diagnose Skin Cancers More Accurately than Anatomic Pathologists? Heidelberg University Researchers Say “Yes”

New study conducted by an international team of researchers suggests that artificial intelligence (AI) may be better than highly-trained humans at detecting certain skin cancers Artificial intelligence (AI) has been working its way into health technology for several years and, so far, AI tools have been a boon to physicians and health networks. Until now, though, the general view was that it was a supplemental tool for diagnosticians, not a replacement for them. But what if the AI was better...

Studies Show Potential for Google’s AI Tools to Improve Pathologist Accuracy and Efficiency

Computer-assisted analysis using Google’s LYNA algorithm shows significant gains in speed required to analyze stained lymph node slides and sensitivity of micrometastases detection in two recent studies Anatomic pathologists understand the complexities of reviewing slides and samples for signs of cancer’s spread. Two studies involving a new artificial intelligence (AI) algorithm from Google (NASDAQ:GOOGL) claim their “deep learning” LYmph Node Assistant (LYNA) provides increases to both the...

Controversy Surrounding Memorial Sloan Kettering Cancer Center and Paige.AI Highlights Risks of Data Sharing and Monetization in Anatomic Pathology

Patient privacy, ethics of monetizing not-for-profit data, and questions surrounding industry conflicts appear after the public announcement of an arrangement to grant exclusive access to academic pathology slides and samples Clinical laboratories and anatomic pathology groups already serve as gatekeepers for a range of medical data used in patient treatments. Glass slides, paraffin-embedded tissue specimens, pathology reports, and autopsy records hold immense value to researchers. The...

Future EHR Systems Could Impact Clinical Laboratories by Offering Cloud Services and Full Access to Patients on Mobile Devices

Future EHRs will focus on efficiency, machine learning, and cloud services—improving how physicians and medical laboratories interact with the systems to support precision medicine and streamlined workflows When the next generation of electronic health record (EHR) systems reaches the market, they will have advanced features that include cloud-based services and the ability to collect data from and communicate with patients using mobile devices. These new developments will provide clinical...

UK Study Reveals 535 New Genes Associated with High Blood Pressure; Could it Lead to a New Genetic Test Panel for Clinical Laboratories?

UK study shows how LDTs may one day enable physicians to identify patients genetically predisposed to chronic disease and prescribe lifestyle changes before medical treatment becomes necessary Could genetic predisposition lead to clinical laboratory-developed tests (LDTs) that enable physicians to assess patients’ risk for specific diseases years ahead of onset of symptoms? Could these LDTs inform treatment/lifestyle changes to help reduce the chance of contracting the disease? A UK study into...

New Cividis Colormap Could Enable Color Blind Surgical and Anatomic Pathologists to View Digital Pathology Images Normally

New dichromatic color scale developed by scientists at the Pacific Northwest National Laboratory could play a role in how slides are stained and how software color-codes digital pathology images in ways that make it easier for human eyes to recognize structures and features of interest Clinical laboratories, anatomic pathologists, and other specialized diagnostics providers play an essential role in precision medicine. Imagine, however, performing surgical pathology analysis on slides using...