US EditionDoctor explains how artificial intelligence is already being deployed in medical care
- In 2023, a survey revealed that most Americans expressed discomfort with doctors using AI to manage their care, even as AI applications in medical care continue to grow.
- AI is being utilized in various ways, including assisting with reading mammograms for cancer detection and augmenting colonoscopies to reduce the miss rate of potentially cancerous lesions.
- Researchers at Johns Hopkins University developed a predictive AI algorithm that identifies hospitalized patients at high risk of developing sepsis, a condition that can lead to multi-organ failure and death.
- According to Leana Wen, there are well-validated examples of predictive AI being used to augment and improve diagnosis, and clinicians are especially glad to have AI applications that reduce documentation and paperwork.
- Despite potential benefits such as improved cancer detection and reduced clinician workload, the adoption of AI products for mammogram cancer screening remains limited due to potential extra costs, and technologists, clinicians, and regulators should rigorously study each AI tool before deployment, considering both positive uses and potential concerns such as misleading or inaccurate responses from generative AI models.
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Using AI and ML for Solving Healthcare Document Management Challenges - Health IT Answers
By Alyssa Dennis - Managing healthcare documents efficiently is essential for maintaining accurate patient records and enhancing the quality of care. Yet, traditional approaches often rely on manual, time-consuming processes that are not only error-prone, but also strain already burdened healthcare systems. The post Using AI and ML for Solving Healthcare Document Management Challenges appeared first on Health IT Answers.
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·Amsterdam, Netherlands
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