Join Answers Media Network and industry leaders as we come together on this virtual event for a series of high-level conversations around sharing health data as we head into 2025.
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By Jared Gillespie – As healthcare continues to shift towards value-based care models, rehabilitation services are increasingly evaluated based on the quality of outcomes and cost-efficiency. In this environment, clinicians face the dual challenge of delivering high-quality care while minimizing costs.
By Frank A. Fornari PhD – While physical activity, physical therapy, and structured exercise have long been considered effective treatments for Parkinson’s disease, their efficacy has been difficult to scientifically establish due to the inability to measure changes.
By Cathy Thomas Hess – Wound care has undergone a substantial evolution over the past few years, beginning with the introduction of EHRs and continuing today with the incorporation of Artificial Intelligence and Machine Learning.
By Katie Brenneman – New technology trends are taking the load off many doctors and nurses and making life easier for patients. When it comes to AI, these are technologies and trends we can be expecting to see.
By Patrizia Cavazzoni MD – AI and ML are no longer futuristic concepts; they are now part of how we live and work. The FDA uses the term AI to describe a branch of computer science, statistics, and engineering that uses algorithms or models to perform tasks and exhibit behaviors.
By Ben van der Schaaf & Ben Enejo – Much has been written about the application of Artificial Intelligence and Machine Learning (AI/ML) in clinical development, and at first glance it is an obvious area of focus. Successful use of AI/ML capability requires vast amounts of data, and there have been….
By Kathryn Marchesini, Jeff Smith, & Jordan Everson – As we’ve previously discussed, algorithms—step by step instructions (rules) to perform a task or solve a problem, especially by a computer—have been widely used in health care for decades. One clear use of these algorithms is through evidence-based, clinical decision support interventions.
By Kathryn Marchesini, Jeff Smith, & Jordan Everson – When talking about artificial intelligence today, people are usually referring to predictive models—often driven by machine learning techniques—that “learn” from historic data and make predictions, recommendations, or classifications (outputs) which inform or drive decision making.