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Health – Google Research

WEBTransformative healthcare technologies build upon translational research to realize long-term potential. Our Health AI team embraces a model of embedded research and …

Actived: 7 days ago

URL: https://research.google/teams/health/

Three Epochs of Artificial Intelligence for Healthcare

WEBConclusions and Relevance: Foundation models and generative AI represent a major revolution in AI’s capabilities, ffering tremendous potential to improve care. Health care …

Category: Health Go Health

AMIE: A research AI system for diagnostic medical reasoning and

WEBAMIE: an LLM-based conversational diagnostic research AI system. We trained AMIE on real-world datasets comprising medical reasoning, medical …

Category: Medical Go Health

Health & Bioscience – Google Research

WEBResearch in health and biomedical sciences has a unique potential to improve peoples’ lives, and includes work ranging from basic science that aims to understand biology, to …

Category: Medical Go Health

Med-PaLM: A Medical Large Language Model

WEBMed-PaLM is a large language model (LLM) designed to provide high quality answers to medical questions. Our second version, Med-PaLM 2, is one of the research models that …

Category: Medical Go Health

Enabling large-scale health studies for the research community

WEBPosted by Chintan Ghate, Software Engineer, and Diana Mincu, Research Engineer, Google Research. As consumer technologies like fitness trackers and mobile …

Category: Fitness Go Health

Google Research, 2022 & beyond: Health

WEBIn 2021, we shared some of our early work using smartphone cameras to measure heart rate and to help identify skin conditions. In 2022, we shared new …

Category: Health Go Health

Multimodal medical AI

WEBMultimodal medical AI. Medicine is an inherently multimodal discipline. When providing care, clinicians routinely interpret data from a wide range of modalities …

Category: Medical, Medicine Go Health

HEAL: A framework for health equity assessment of machine …

WEBThe HEAL framework proposes a 4-step process to estimate the likelihood that an ML-based health technology performs equitably: (1) Identify factors associated …

Category: Health Go Health

Health-specific embedding tools for dermatology and pathology

WEBThese embedding tools take an image as input and produce a numerical vector (the embedding) that is specialized to the domains of dermatology and digital …

Category: Health Go Health

Detecting Abnormal Chest X-rays using Deep Learning

WEBA Deep Learning System for Detecting Abnormal Chest X-rays. The deep learning system we used is based on the EfficientNet-B7 architecture, pre-trained on …

Category: Health Go Health

How to Develop Machine Learning Models for Healthcare

WEBAbstract. Rapid progress in machine learning is enabling opportunities for improved clinical decision support. Importantly, however, developing, validating and implementing …

Category: Health Go Health

EHR-Safe: Generating high-fidelity and privacy-preserving …

WEBPosted by Jinsung Yoon and Sercan O. Arik, Research Scientists, Google Research, Cloud AI Team. Analysis of Electronic Health Records has a tremendous …

Category: Health Go Health

Robust and efficient medical imaging with self-supervision

WEBLarge scale self-supervision for medical imaging. REMEDIS uses a combination of natural (non-medical) images and unlabeled medical images to develop …

Category: Medical Go Health

Deep Learning for Detection of Diabetic Eye Disease

WEBOne of the most common ways to detect diabetic eye disease is to have a specialist examine pictures of the back of the eye (Figure 1) and rate them for disease …

Category: Health Go Health

Michael D. Howell, MD MPH

WEBMichael has published more than 100 research articles, editorials, and book chapters, and is the author of Understanding Healthcare Delivery Science, one of the …

Category: Health Go Health