AI in Health Care: Balancing Benefits and Barriers
AI can help alleviate the burden on clinical labs—but only with sufficient investment, enthusiasm, and understanding
Keep up to date on new and emerging diagnostic tests, testing trends and opportunities, and disruptive technologies
AI can help alleviate the burden on clinical labs—but only with sufficient investment, enthusiasm, and understanding
Debate is underway on whether current CLIA review of LDTs properly assesses a test’s likelihood to detect diseases.
Juan Antonio Retamero, MD, shares his thoughts on recent trends in AI and digital pathology, and how they may progress.
The changes proposed in three new draft guidances aim to speed up the process and place less emphasis on older predicate products.
Liron Pantanowitz, MD, PhD, discusses the key issues pathologists face today, and how technology could help.
Artificial intelligence won’t take your job—but what are the real concerns around healthcare AI and its use?
AI is an increasingly useful tool in pathology—but its full value can only be realized in collaboration with human experts.
Diana W. Bianchi, MD, discusses how NIPT has evolved, key challenges, as well as her team’s research on using these tests to detect cancer.
Genomic sequencing is almost twice as likely to yield a diagnostic result, but lags behind panel testing in speed, cost, and concordance.
Using LIMS and no-code solutions can unlock opportunities for efficiency.
Tackling the challenges of “forever chemicals” in the diagnostics industry.