Artificial intelligence (AI) is on pace to become the most rapidly adopted technology in health care, 1 whether clinicians are ready for it or not. From ambient scribes transcribing doctor-patient ...
Researchers at the University of California San Diego School of Medicine have developed a new approach for identifying ...
For more than three decades, USF Distinguished University Professor Dmitry Goldgof in the Bellini College of Artificial ...
AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...
Please provide your email address to receive an email when new articles are posted on . Machine learning models can predict which patients receiving lung cancer therapy may need urgent care visits.
Clinical Interchangeability of PD-L1 Immunohistochemistry Assays in First-Line Non–Small Cell Lung Cancer Management With Cemiplimab Internal iliac and obturator lymph nodes are common sites of ...
This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...
Starting in January, Medicare will test out an artificial intelligence (AI) pilot program to decide whether patients get certain procedures covered or not. The Centers for Medicare & Medicaid Services ...
Abstract: The increasing number of breast cancer-related deaths annually underscores the pressing need for improved prediction and diagnostic techniques. Machine learning offers a promising avenue for ...
Abstract: Oral cancer remains a significant global health challenge with high mortality rates. The major cause is late recognition of oral cancer, making treatment less effective. This condition is ...
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