https://insidebigdata.com/category/industry-segments/healthcare/ Your Source for AI, Data Science, Deep Learning & Machine Learning Strategies Wed, 22 Nov 2023 14:25:20 +0000 en-US hourly 1 https://wordpress.org/?v=6.3.2 136462205 https://insidebigdata.com/2023/11/13/life-is-fleeting-but-data-is-forever-meet-your-digital-twin/ https://insidebigdata.com/2023/11/13/life-is-fleeting-but-data-is-forever-meet-your-digital-twin/#respond Mon, 13 Nov 2023 14:01:00 +0000 https://insidebigdata.com/?p=33868 [SPONSORED POST] With the transformation of medicine from analog to digital, plus the rise of new data-generating devices for health tracking and genomic information, we can look forward to a new world in which virtually every aspect of a patient's medical history can be communicated, stored, and manipulated. For each patient, this huge body of data represents a sort of digital twin, a treasure trove of useful medical information and insights that could become invaluable in developing patient treatments in the future.]]> https://insidebigdata.com/2023/11/13/life-is-fleeting-but-data-is-forever-meet-your-digital-twin/feed/ 0 33868 https://insidebigdata.com/2023/11/10/survey-generative-ai-shaking-up-digital-health-investors-funding-strategies-and-industry-outlooks/ https://insidebigdata.com/2023/11/10/survey-generative-ai-shaking-up-digital-health-investors-funding-strategies-and-industry-outlooks/#respond Fri, 10 Nov 2023 11:00:00 +0000 https://insidebigdata.com/?p=33835 Digital health investors say generative AI, oncology care and the challenges posed by clinician shortages are transforming their startup funding strategies and investment outlooks for the healthcare industry, according to the results of an online survey from GSR Ventures. Startup company valuation expectations among backers, however, are significantly lower than in 2022.]]> https://insidebigdata.com/2023/11/10/survey-generative-ai-shaking-up-digital-health-investors-funding-strategies-and-industry-outlooks/feed/ 0 33835 https://insidebigdata.com/2023/10/06/revolutionizing-bioscience-research-creating-an-atlas-of-the-human-body/ https://insidebigdata.com/2023/10/06/revolutionizing-bioscience-research-creating-an-atlas-of-the-human-body/#respond Fri, 06 Oct 2023 10:00:00 +0000 https://insidebigdata.com/?p=33592 Making healthcare and life science (HCLS) discoveries is time-consuming and requires considerable amounts of data. HPC enterprise infrastructure with AI and edge to cloud capabilities is required for biomedical research to make creating a human atlas of the body possible. The HPE, NVIDIA and Flywheel collaboration using the latest technologies designed for HCLS promise to transform biomedical research.]]> https://insidebigdata.com/2023/10/06/revolutionizing-bioscience-research-creating-an-atlas-of-the-human-body/feed/ 0 33592 https://insidebigdata.com/2023/08/15/evolution-of-conversational-intelligence-in-healthcare/ https://insidebigdata.com/2023/08/15/evolution-of-conversational-intelligence-in-healthcare/#respond Tue, 15 Aug 2023 10:00:00 +0000 https://insidebigdata.com/?p=33125 In this contributed article, Michael Armstrong, Chief Technology Officer at Authenticx, discusses how AI-driven tools play an increasingly significant role in analytics, including those used to improve customer experience, by extracting valuable, actionable data insights. AI and ML enable healthcare organizations to more effectively listen to — and better understand — their customers’ voices and solve common issues or barriers.]]> https://insidebigdata.com/2023/08/15/evolution-of-conversational-intelligence-in-healthcare/feed/ 0 33125 https://insidebigdata.com/2023/07/03/analysis-of-145-generative-ai-startups-ids-opportunities-to-remedy-pain-points-in-healthcare-and-life-sciences/ https://insidebigdata.com/2023/07/03/analysis-of-145-generative-ai-startups-ids-opportunities-to-remedy-pain-points-in-healthcare-and-life-sciences/#respond Mon, 03 Jul 2023 10:00:00 +0000 https://insidebigdata.com/?p=32748 Generative AI technology could deliver industry-changing improvements in healthcare delivery and life sciences productivity, efficiency and patient outcomes and presents a massive untapped opportunity for entrepreneurs and investors, according to a new market analysis by Justin Norden of GSR Ventures, Jon Wang, and Ambar Bhattacharyya of Maverick Ventures.]]> https://insidebigdata.com/2023/07/03/analysis-of-145-generative-ai-startups-ids-opportunities-to-remedy-pain-points-in-healthcare-and-life-sciences/feed/ 0 32748 https://insidebigdata.com/2023/06/13/how-nlp-can-provide-deeper-actionable-data-insights-for-all-healthcare-stakeholders/ https://insidebigdata.com/2023/06/13/how-nlp-can-provide-deeper-actionable-data-insights-for-all-healthcare-stakeholders/#respond Tue, 13 Jun 2023 10:00:00 +0000 https://insidebigdata.com/?p=32623 In this contributed article, Anoop Sarkar, PhD, Chief Technology Officer, emtelligent, discusses how providing clinicians with the most accurate and relevant information about a patient at the point of care requires a collaboration between AI-powered medical NLP and clinicians with deep medical knowledge. These collaborations will fulfill the promise of medical NLP. ]]> https://insidebigdata.com/2023/06/13/how-nlp-can-provide-deeper-actionable-data-insights-for-all-healthcare-stakeholders/feed/ 0 32623 https://insidebigdata.com/2023/06/09/how-synthetic-data-can-be-created-and-utilized-for-a-wide-range-of-use-cases-in-healthcare/ https://insidebigdata.com/2023/06/09/how-synthetic-data-can-be-created-and-utilized-for-a-wide-range-of-use-cases-in-healthcare/#respond Fri, 09 Jun 2023 14:00:00 +0000 https://insidebigdata.com/?p=32592 In this contributed article, Jonah Leshin, Head of Privacy Research at Datavant, discusses how we have seen a rapid increase in the digitization and standardization of health data. With this groundwork laid, more recently, there have been concerted efforts to connect siloed health data sources in support of more impactful use cases. Synthetic data serves as a powerful complementary tool for the analyses that these use cases require, bringing us closer to maximizing data utility within the healthcare ecosystem.]]> https://insidebigdata.com/2023/06/09/how-synthetic-data-can-be-created-and-utilized-for-a-wide-range-of-use-cases-in-healthcare/feed/ 0 32592 https://insidebigdata.com/2023/06/06/the-importance-of-data-quality-in-benefits/ https://insidebigdata.com/2023/06/06/the-importance-of-data-quality-in-benefits/#respond Tue, 06 Jun 2023 14:00:00 +0000 https://insidebigdata.com/?p=32573 In this contributed article, Peter Nagel, VP of Engineering at Noyo, addresses the benefits/insurance industry’s roadblocks and opportunities — and why some of the most interesting data innovations will soon be happening in benefits.]]> https://insidebigdata.com/2023/06/06/the-importance-of-data-quality-in-benefits/feed/ 0 32573 https://insidebigdata.com/2023/04/19/how-machine-learning-is-cleaning-up-medical-records/ https://insidebigdata.com/2023/04/19/how-machine-learning-is-cleaning-up-medical-records/#comments Wed, 19 Apr 2023 13:00:00 +0000 https://insidebigdata.com/?p=32131 In this contributed article, Dr. Oleg Bess, practicing physician and CEO of 4medica, discusses how machine learning is doing great things in medicine, including improving medical diagnosis and drug manufacturing. It’s also improving healthcare in another way that doesn’t earn headlines but is at the core of care delivery: eliminating duplicate patient records, and providing high-quality data for patients and providers.]]> https://insidebigdata.com/2023/04/19/how-machine-learning-is-cleaning-up-medical-records/feed/ 1 32131 https://insidebigdata.com/2023/01/02/what-is-federated-learning-in-health-care-and-how-should-health-it-teams-prepare/ https://insidebigdata.com/2023/01/02/what-is-federated-learning-in-health-care-and-how-should-health-it-teams-prepare/#respond Mon, 02 Jan 2023 14:00:00 +0000 https://insidebigdata.com/?p=31281 In this contributed article, Ittai Dayan, co-founder and CEO of Rhino Health, believes that while traditional machine learning has huge potential for medical researchers, its major shortcoming is the vast amount of centralized data collection that’s required, and the privacy issues this creates. Federated learning has been suggested as a potential solution to this problem. This is a novel ML technique that is able to access data held across numerous decentralized servers (such as data held by individual hospitals), with the data never leaving these servers and remaining completely anonymous. ]]> https://insidebigdata.com/2023/01/02/what-is-federated-learning-in-health-care-and-how-should-health-it-teams-prepare/feed/ 0 31281