Healthcare Strategies: A Podcast
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A podcast for healthcare professionals seeking solutions to today's and tomorrow's top challenges. Hosted by the editors of Xtelligent Healthcare Media, this podcast series focuses on real-world use cases that are leading to tangible improvements in care quality, outcomes, and cost.
Guests from leading provider, payer, government, and other organizations share their approaches to transforming healthcare in a meaningful and lasting way.
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Latest News
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ChatGPT shows potential for clinical knowledge review
ChatGPT could help clinicians more effectively review medical literature by prioritizing and summarizing research abstracts from journals related to their specialties.
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NIH study reveals pitfalls of AI in clinical decision-making
GPT-4V scored highly on the 'New England Journal of Medicine's' Image Challenge, but made mistakes when tasked with explaining its reasoning and describing medical images.
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ChatGPT demonstrates promise for digital pathology
A private, domain-specific version of ChatGPT can accurately respond to digital pathology questions and help clinicians utilize complex histopathology software.
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Machine learning flags nAMD drug-related eye inflammation
A machine learning tool could bolster early detection of vision-threatening inflammation associated with drugs used to treat neovascular age-related macular degeneration.
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NIH grant to fund depression chatbot for Black patients
Learn how an existing AI chatbot for antidepressant recommendation will be validated for use in Black patients with funding from the NIH's AIM-AHEAD program.
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Deep learning shows promise in predicting osteoporosis risk
A deep neural network significantly outperformed existing machine learning and regression models for osteoporosis risk prediction in a cohort of over 8,000 participants.
Features
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Will AI hinder digital transformation in healthcare?
Healthcare digitalization requires integrating new technologies and processes to meet patients' evolving needs, but the process is rife with challenges.
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Reassessing the use of race in clinical algorithms
Race is often included as a biological construct in clinical guidance, but experts assert that its use must be reexamined to promote health equity.
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Fostering health AI development with confidential computing
Can confidential computing streamline clinical algorithm development by providing a secure collaborative environment for data stewards and AI developers?
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Advancing transparency, fairness in AI to boost health equity
Fairness in clinical algorithms is key to mitigating race-based health inequity. Are efforts driven by AI and machine learning up to the task?