Hospitals need to start thinking about ways to build patients’ trust in generative AI in order for the healthcare industry to fully harness the technology’s potential. They can do this through methods like having transparent conversations, asking for patients’ consent to use the tools and training models on internal data, experts said.
A new startup launched at the SynBioBeta conference. The company, called CybergenX, is seeking to integrate AI-powered cybergenetic technology into the synthetic biology field. By doing this, CybergenX is seeking to accelerate the potential of engineering biology in drug manufacturing.
The TSX Venture Exchange has a strong history of helping early-stage health and life sciences companies raise patient capital for research and development.
Mass General Brigham researchers conducted a study to learn more about the efficacy of large language models when used to draft responses to patient messages in the EHR. The results showed that these AI tools can do a good job at reducing physicians’ workloads and improving patient education — but also that these tools have limitations that require human oversight.
At HIMSS, Google Cloud announced new AI features designed to assist providers, payers and any other healthcare organizations seeking to make better use of their clinical data.
Bill Fera — a principal and head of AI at Deloitte — said that the generative AI frenzy holds incredibly promising opportunities for health systems. He noted that in order for hospitals to succeed in the era of generative AI, they need to establish the right metrics for their pilots early on so they can quickly nix or scale them.
As more and more organizations integrate Generative AI with Configure, Price, Quote (CPQ) systems, they declare their belief that we can aspire to incredible advancements in human health and well-being through digital transformation.
In an era of escalating healthcare costs and a growing preference for natural, holistic approaches to health, The Impact Brands emerges as a collective of diverse brands dedicated to supporting overall wellness through natural means.
In clinical trials, pharmaceutical companies are seeking to optimize operations and improve efficiency by automating and enhancing processes through Artificial Intelligence (AI) and Machine Learning (ML). One area where this can reap tangible benefits across clinical trials is in data processing. A typical clinical trial generates over 13,000 documents in various formats (text, voice, video, […]
The only way to effectively scale care coordination to meet the needs of digital consumers is through technology, combined with empowered staff and transformed processes.
Increasing innovation in, and consumer demand for, healthcare technology continue to transform the Medtech industry, including in digital health, wearables, diagnostics, telemedicine and other health IT solutions.
Executives at LRVHealth expect to see a continued focus on generative AI, increased enrollment in Medicare Advantage and more in 2024.
Canada has a proud history of achievement in the areas of science and technology, and the field of biomanufacturing and life sciences is no exception.
Google introduced a new suite of healthcare-focused generative AI models designed to speed up workflows for clinicians and medical researchers. Health systems and medical research organizations, including HCA Healthcare and BenchSci, have been testing these models since April.
Deloitte released a report predicting the key trends that will shape the healthcare landscape in 2024. Some of them include hospital M&A, health systems outsourcing departments and the increasing adoption of generative AI tools.
Researchers recently tested ChatGPT’s ability to answer patient questions about medication, finding that the AI model gave wrong or incomplete answers about 75% of the time. Providers should be wary of the fact that the model does not always give sound medical advice, given many of their patients could be turning to ChatGPT to answer health-related questions.
At RSNA 2023, AI startup Hoppr announced that it teamed up with AWS to launch a new foundation model. The product, named Grace, is a B2B model designed to help application developers build better AI solutions for the medical imaging field — and to build them more quickly.
In reality, the healthcare sector is, in many ways, the ideal place for AI to be used. After all, it’s one of the few industries with access to a treasure trove of precisely the kind of high-quality data with which AI operates best.