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Over the last decade, artificial intelligence (AI) has revolutionised patient care significantly, enhancing diagnostic accuracy, treatment personalisation, and overall healthcare efficiency. In recent times, the healthcare ecosystem has also witnessed a greater integration of AI into oncology as well. This has enabled healthcare providers to leverage real-time data and predictive analytics, making informed decisions that propel advancements in medical care for cancer patients.Cancer is a highly heterogeneous disease, with each patient presenting a unique genetic and molecular profile. Continuous and timely monitoring is critical for cancer patients, who are at higher risk of clinical deterioration.
AI’s ability to process and analyse complex datasets allows for the development of treatment plans tailored to an individual’s specific cancer type and genetic makeup. This personalised approach not only has the potential to enhance treatment efficacy but also can minimise adverse effects, leading to better patient outcomes.As per the Global Market Insights report, AI in the oncology market is projected to reach $7.6 billion by 2032 driven by rising adoption of AI in cancer diagnosis and treatment. In 2023, the oncology diagnostics segment was valued at $341.4 million.
Continue reading at financialexpress.com
The use of digital applications within healthcare is growing, and there looks to be no signs of it slowing down. An average of nearly one million digital health apps were downloaded in 2023, up 42% …
Posted Aug 12, 2024 Patient Care Digital Health Healthcare Transformation
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