As artificial intelligence (AI) continues to revolutionize healthcare, its potential to enhance patient safety and improve radiation protection practices is becoming increasingly evident. This webinar ...
One person's side effect could be another person's treatment if we expand our perspective on small molecule drug targets, ...
Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most ...
Medical imaging foundation models are ushering in a new era for precision oncology. By integrating massive multimodal ...
A new deep learning system developed by an international research team detects melanoma with 94.5% accuracy by fusing ...
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.
Internal iliac and obturator lymph nodes are common sites of metastasis in rectal cancer. This study developed a machine learning (ML) model using clinical data to predict lymph node metastasis and ...
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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