The U.S. saw close to 5,000 more cancer deaths in 2023 compared with 2022, marking the only cause of death among the top 10 to see an increase year over year. Cancer accounted for 19.8% of all deaths and remains the No. 2 killer, following heart disease. This underscores the urgent need for solutions that enhance prevention and early detection.
AI can assist in analyzing tissue samples by examining microscopic images of biopsy samples. It can recognize cancerous cells and differentiate between different types of cancer with a high degree of accuracy, crucial for timely and effective treatment adjustments.
Using advanced AI tools, doctors will automate the counting and classification of cells in tissue samples, speeding up the diagnostic process and significantly reducing the workload on pathologists, allowing them to focus on more complex cases.
AI models can be trained on large datasets to predict an individual's risk of developing certain types of cancer based on genetic and lifestyle factors, dramatically improving the personalization of treatment plans and outcomes.
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