The intricate and often subtle patterns within a CT scan hold the key to early lung cancer detection, a task that has historically challenged even seasoned radiologists but is now being revolutionized by the pattern-recognition prowess of artificial intelligence. Convolutional Neural Networks
A landmark multinational study has successfully validated a blood test for diagnosing Alzheimer’s disease and frontotemporal lobar degeneration within diverse Latin American populations, addressing a critical disparity in dementia diagnostics. Historically, the science behind these promising blood
The paradigm of healthcare delivery is undergoing a fundamental and rapid transformation, moving away from traditional in-person visits toward a more accessible, data-driven, and remote model. This evolution is not merely a consequence of recent global events but the culmination of technological
The decision to undergo a total hip replacement, a procedure performed hundreds of thousands of times annually, often comes with an uncertain road to recovery, yet a new wave of artificial intelligence is beginning to chart that path with unprecedented clarity. Predictive AI for surgery represents
As a biopharma expert with a deep background in research and technology, Ivan Kairatov has a unique perspective on the intersection of artificial intelligence and frontline medicine. His work focuses on how innovations like causal modeling can translate complex data into life-saving actions. Today,
The integration of artificial intelligence into healthcare has promised to revolutionize diagnostics and patient care, yet a groundbreaking study from the Mount Sinai Health System reveals a critical vulnerability that could undermine this progress. Extensive testing on large language models (LLMs)
