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  • AI for better health: Carey joins national effort to build workforce and capacity

    News

    Why it matters: Through AIM-AHEAD, Carey Business School faculty are helping U.S. researchers utilize AI to advance diabetes and other health research.

  • Caution! Doctor ratings on the internet can be quite outdated.

    Research

    In the U.S., almost three-quarters of patients utilize five-star scale web ratings of physicians to guide them. But how much should you trust these online ratings?

  • Let Curves Speak: A Continuous Glucose Monitor based Large Sensor Foundation Model for Diabetes Management

    Research

    CGM-LSM improves near-future glucose prediction with high accuracy and robustness, advancing diabetes management through large-scale sensor data analysis.

  • Responsible AI for Health Symposium Panel: Implementing Responsible AI Clinical Workflows and EHR Systems

    Responsible AI for Health Symposium

    This panel at the Inaugural Responsible AI for Health Symposium focused on the integration of AI into clinical settings and electronic health record systems. The experts discussed key considerations for using AI tools in medical decision-making and highlighted the challenges involved in building the infrastructure needed for successful implementation.

  • Responsible AI for Health Symposium Keynote: Cynthia Rudin

    Responsible AI for Health Symposium

    At the Inaugural Responsible AI for Health Symposium, Dr. Cynthia Rudin, Gilbert, Louis, and Edward Lehrman Distinguished Professor of Computer Science, presented on promoting fairness through improving the interpretability of AI models.

  • Responsible AI for Health Symposium Panel: Metrics for Responsible AI

    At the Inaugural Responsible AI for Health Symposium, this panel centered on the discussion of metrics that can be used to measure the fairness, risk, and trustworthiness of AI models. Panelists noted the unanswered questions regarding the governing body that will ultimately be responsible for selecting, deploying, and integrating fairness metrics. Dr. Anjana Susarla elaborated on the risks of AI, stating that they are primarily derived from “us ignoring this interplay between the way we develop all these AI systems and [their] use.”

  • Responsible AI for Health Symposium Keynote: Emma Pierson

    Responsible AI for Health Symposium

    At the Inaugural Responsible AI for Health Symposium, Dr. Emma Pierson, assistant professor of computer science at the Jacobs Technion-Cornell Institute at Cornell Tech and the Technion, delivered a presentation on the training and evaluation of AI models using diverse datasets.

  • Distinguished Speaker Series: Laurie Buis

    Distinguished Speaker Series
  • Toward an “Equitable” Assimilation of Artificial Intelligence and Machine Learning into Our Health Care System AI

    News

    AI/ML can improve healthcare but may worsen inequities. Leaders must ensure fairness with audits, benchmarks, policies, and education to support equity.

  • Distinguished Speaker Series: Aneesh Chopra

    Distinguished Speaker Series
  • Leading researchers gather to advance the promise of digital technologies and AI

    Research

    The annual Conference on Health Information Technology and Analytics (CHITA) sparks ideas for the not-so-distant future of high-tech health care delivery.

  • AI for health equity: navigating the future of health care

    Business Of Health

    Why it matters: Artificial intelligence is rapidly transforming the health care industry, and we must be vigilant to ensure that these technological advancements bring equitable outcomes. The Artificial Intelligence for Health Equity (AIHE) series at Johns Hopkins University addresses this challenge, ensuring that AI integration in health care fairly meets the needs of underserved communities.

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