AI use cases in {industry}
Mayo Clinic has given thousands of its scientific researchers access to 50 petabytes worth of clinical data through Vertex AI search, accelerating information retrieval across multiple languages.
Seattle Children's hospital is using AI to boost data engineering productivity and accelerate development.
Highmark Health and Freenome join Bristol Myers Squibb to explore how AI can improve efficiency and innovation across care delivery, drug discovery, clinical trial planning, and bringing medicines to market.
Highmark Health and Freenome join Bristol Myers Squibb to explore how AI can improve efficiency and innovation across care delivery, drug discovery, clinical trial planning, and bringing medicines to market.
WellSky is integrating Google Cloud's healthcare and Vertex AI capabilities to reduce the time spent completing documentation outside work hours.
BenchSci develops generative AI solutions empowering scientists to understand complex connections in biological research, saving them time and financial resources and ultimately bringing new medicine to patients faster.
Dasa, the largest medical diagnostics company in Brazil, is helping physicians detect relevant findings in test results more quickly.
HCA Healthcare is testing Cati, a virtual AI caregiver assistant that helps to ensure continuity of care when one caregiver shift ends and another begins. They are also using gen AI to improve workflows on time-consuming tasks, such as clinical documentation, so physicians and nurses can focus more on patient care.
DaVita leverages DocAI and Healthcare NLP to transform kidney care, including analyzing medical records, uncovering critical patient insights, and reducing errors. AI enables physicians to focus on personalized care, resulting in significant improvements in healthcare delivery.
Bristol Myers Squibb is transforming its document processes for clinical trials using Vertex AI and Google Workspace. Now, documentation that took scientists weeks now gets to a first draft in minutes.
Bayer is building a radiology platform that will assist radiologists with data analysis, intelligent search, and to create documents that meet healthcare requirements needed for regulatory approval. The bioscience company is also harnessing BigQuery and Vertex AI to develop additional digital medical solutions and drugs more efficiently.
The Barcelona Supercomputing Center has developed Aloe, a family of fine-tuned open healthcare LLMs built on Meta Llama 3. Aloe features advanced training and inference mechanisms, achieving over 10 accuracy points improvement and setting new standards for ethical performance in healthcare AI through policy alignment and Direct Preference Optimization, leading to state-of-the-art results for open healthcare 7B LLMs.
Healthify, India’s largest health platform, uses OpenAI's GPT-4 Vision and Whisper to improve food tracking and health coaching. The integration has increased food tracking by 50% and doubled user engagement with nutrition coaching. Healthify plans to expand to 20 countries and save millions of lives by improving fitness and reversing metabolic diseases globally.
Lifespan uses GPT-4 to simplify complex surgical consent forms from a college reading level to a 6th grade reading level, reducing word count by 25% and improving patient comprehension. The revised forms were implemented across the Lifespan healthcare system, including intake and chemotherapy consent forms, leading to more accessible medical documentation and better patient outcomes.
Oscar Health uses OpenAI's technology to automate clinical documentation and claims processing, reducing time spent by 40% and improving productivity. The company also developed a claims assistant that efficiently handles claim inquiries, cutting escalation times by 50%. Additionally, Oscar is using AI to extract, analyze, and summarize data from complex medical records, helping clinicians make more informed decisions.
WHOOP integrates GPT-4 into its wearable device companion app to offer personalized, 24/7 fitness and health coaching. WHOOP Coach analyzes users' unique health data and provides conversational, actionable recommendations based on their goals, such as improving sleep or training for a marathon, revolutionizing how users engage with their health data.
Summer Health uses GPT-4 to automatically generate pediatric visit notes from doctors' written observations, reducing the time for note-taking by 5x and increasing note accuracy and consistency. This frees up more time for doctors to focus on patient care, reduces administrative fatigue, and improves parent satisfaction with clear, concise, and jargon-free notes.
Synapse leverages Mistral's advanced models to generate personalized, evidence-based medical recommendations tailored to each patient's clinical context. This helps physicians make faster, more informed decisions, enhancing patient care and medical outcomes. Used by over 30% of French general practitioners and 300 hospitals, Synapse ensures accurate guidance is readily available.
NoHarm.ai, a healthcare non-profit startup in Brazil, uses Meta Llama 2 and an open-source web application to improve hospital discharge summaries for patient care transitions. The NoHarm Discharge Summary tool extracts key information from inpatient records using Named Entity Recognition (NER) and generates discharge summaries in Portuguese for physicians to validate, enhancing data organization and communication within the healthcare system.
Be My Eyes uses GPT-4's visual input capability to develop a Virtual Volunteer™ within its app, helping blind and low vision users navigate daily life tasks like identifying objects or navigating environments. The AI provides real-time contextual information and allows for interactive conversation, significantly enhancing independence for users.
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