Discover what an AI solution for early detection of prediabetes progression risk can do to help providers deliver more proactive care.
Our latest blog series breaks down the growing promise of AI-powered early detection solutions for improving population health outcomes.
Colorectal cancer screening improvement has always been a key goal in preventative care, but how can AI take it a step further?
This Week in Clinical AI Episode 7: Exploring ChatGPT in publications, AI for sleep apnea & end-of-life care, plus CU Boulder football.
Unwrap secrets to thriving AI deployment in healthcare, focusing on clinician trust, workflow integration, and model improvements.
In this week's episode of This Week in Clinical AI, Jeremy highlights how AI can be used for infant food allergy detection and a study about using GPT-4 to improve patient understanding of surgical consents.
In This Week in Clinical AI episode 5, we discuss: using AI to predict certain types of cancer, discussions about regulating AI, and how we can use brainwaves to recreate Pink Floyd songs.
A platform approach for AI can markedly accelerate healthcare innovations, making huge strides in patient care and operational efficiency.
In this week’s episode, we will discuss the latest advancements and success stories in clinical AI. From the groundbreaking work at Cedars Sinai Medical Center to the emergence of virtual dermatology clinics, AI is proving to be a powerful tool in improving patient outcomes.
In this week’s episode of This Week in Clinical AI, Jeremy’s joined by a new guest to breakdown a NEJM article and perspective on integrating AI under recent market changes.
Lucem Health unlocks healthcare innovation by turning the science of clinical AI into trusted, practical, and effective point-of-care solutions. With a technology platform that takes healthcare data from any source, connects it to any clinical AI model or algorithm, and seamlessly delivers insights through familiar clinical workflows, we bring the full power and potential of clinical AI from the lab to the front lines of healthcare —augmenting a clinician’s process to identify at-risk patients earlier, so they can deliver better care and improve patient outcomes.
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