3,503 press releases in English indexed under healthcare.
Sony Electronics Inc. today announced the latest addition to its comprehensive medical monitor line-up, the LMD-32M1MD 32-inch1 4K HDR Mini-LED...
Color Health is working with OpenAI to pioneer a new way of accelerating cancer patients’ access to treatment. Their new Cancer Copilot application uses GPT-4o to identify missing diagnostics and create tailored workup plans, enabling healthcare providers to make evidence-based decisions about cancer screening and treatment.
Founder Srikanth Nadhamuni got the idea for 10BedICU during the devastating 2021 Delta wave of COVID-19, which saw over 20 million cases in just a few months. With only 2.3 ICU beds per 100,000 people, India’s healthcare infrastructure was quickly overwhelmed. 10BedICU responded swiftly, setting up ICU units in government hospitals and equipping them with the latest medical technology and a telehealth platform called
Oscar brings AI to health insurance, reducing costs and improving patient care.
Healthify collaborates with OpenAI to improve millions of lives with sustainable weight loss.
Lifespan uses GPT-4 to radically improve health literacy and patient outcomes.
Paradigm uses OpenAI’s API to improve patient access to clinical trials.
WHOOP delivers personalized fitness and health coaching with GPT-4.
Summer Health reimagines pediatric doctor’s visits with OpenAI.
Abstract We propose a benchmark to measure whether a language model is truthful in generating answers to questions. The benchmark comprises 817 questions that span 38 categories, including health, law, finance and politics. We crafted questions that some humans would answer falsely due to a false belief or misconception. To perform well, models must avoid generating false answers learned from imitating human texts. W
Abstract Some machine learning applications involve training data that is sensitive, such as the medical histories of patients in a clinical trial. A model may inadvertently and implicitly store some of its training data; careful analysis of the model may therefore reveal sensitive information. To address this problem, we demonstrate a generally applicable approach to providing strong privacy guarantees for training