Zobrazeno 1 - 10
of 251
pro vyhledávání: '"Joseph C Kvedar"'
Autor:
Daniel B Hoch, Alice J Watson, Deborah A Linton, Heather E Bello, Marco Senelly, Mariola T Milik, Margaret A Baim, Kamal Jethwani, Gregory L Fricchione, Herbert Benson, Joseph C Kvedar
Publikováno v:
PLoS ONE, Vol 12, Iss 2, p e0172863 (2017)
[This corrects the article DOI: 10.1371/journal.pone.0033843.].
Externí odkaz:
https://doaj.org/article/cf029d49e141436689999085702464e3
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-2 (2024)
Radin et al.’s recent study on patients with long COVID demonstrates that personal wearable data can provide critical insight into complex conditions. This editorial argues that research insights gained through personal wearables support the integr
Externí odkaz:
https://doaj.org/article/0f33dd8ff19f46efafd0b07093a05713
Autor:
Jethro C. C. Kwong, Serena C. Y. Wang, Grace C. Nickel, Giovanni E. Cacciamani, Joseph C. Kvedar
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-3 (2024)
Large language models (LLMs) have shown promise in reducing time, costs, and errors associated with manual data extraction. A recent study demonstrated that LLMs outperformed natural language processing approaches in abstracting pathology report info
Externí odkaz:
https://doaj.org/article/b4a1028f5cc547ac93a74512bed52084
Autor:
Daniel B Hoch, Alice J Watson, Deborah A Linton, Heather E Bello, Marco Senelly, Mariola T Milik, Margaret A Baim, Kamal Jethwani, Gregory L Fricchione, Herbert Benson, Joseph C Kvedar
Publikováno v:
PLoS ONE, Vol 7, Iss 3, p e33843 (2012)
Mind-body medical approaches may ameliorate chronic disease. Stress reduction is particularly helpful, but face-to-face delivery systems cannot reach all those who might benefit. An online, 3-dimensional virtual world may be able to support the rich
Externí odkaz:
https://doaj.org/article/d60222473de247b0b4b0b43d0a88407a
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-2 (2024)
This piece critiques the exclusion of healthcare practitioners (HCPs) from the digital health innovation process. Drawing on “Sync fast and solve things—best practices for responsible digital health” by Landers et al., the editorial argues for
Externí odkaz:
https://doaj.org/article/27117c80908944e48022856898417e2e
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-2 (2024)
There is a need for digital health innovation focused on bettering the health of marginalized populations. These communities, often insured by Medicaid and Medicare, face complex healthcare barriers that technology can address—emphasizing the role
Externí odkaz:
https://doaj.org/article/af12bf765f9f4f85b34c0c6e3eed5278
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-3 (2024)
Generative AI is designed to create new content from trained parameters. Learning from large amounts of data, many of these models aim to simulate human conversation. Generative AI is being applied to many different sectors. Within healthcare there h
Externí odkaz:
https://doaj.org/article/5c71318733324692bc94589eeae89689
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-3 (2024)
Boussina et al. recently evaluated a deep learning sepsis prediction model (COMPOSER) in a prospective before-and-after quasi-experimental study within two emergency departments at UC San Diego Health, tracking outcomes before and after deployment. O
Externí odkaz:
https://doaj.org/article/0ec66b11ba0c4da585d702eab619cfe7
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-2 (2024)
We explore the evolving landscape of diagnostic artificial intelligence (AI) in dermatology, particularly focusing on deep learning models for a wide array of skin diseases beyond skin cancer. We critically analyze the current state of AI in dermatol
Externí odkaz:
https://doaj.org/article/61155614bd3e4f9fb7f5b9c3afb5616b
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-2 (2024)
The utilization of artificial intelligence (AI) in diabetes care has focused on early intervention and treatment management. Notably, usage has expanded to predict an individual’s risk for developing type 2 diabetes. A scoping review of 40 studies
Externí odkaz:
https://doaj.org/article/e6ea5b8cd3aa4e99a3774102232037b4