Zobrazeno 1 - 10
of 199
pro vyhledávání: '"Alison Johnson"'
Autor:
Kathleen Weyts, Justine Lequesne, Alison Johnson, Hubert Curcio, Aurélie Parzy, Elodie Coquan, Charline Lasnon
Publikováno v:
EJNMMI Research, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Background [18F]FDG PET denoising by SubtlePET™ using deep learning artificial intelligence (AI) was previously found to induce slight modifications in lesion and reference organs’ quantification and in lesion detection. As a next step,
Externí odkaz:
https://doaj.org/article/591f339b927b4ba99200ce4a704ff064
Publikováno v:
Health Research Policy and Systems, Vol 22, Iss 1, Pp 1-14 (2024)
Abstract Introduction Despite increased interest in learning health systems (LHS), a paucity of guidance and tools for evaluating LHS implementation exists. To address this, we aim to undertake a scoping review on existing tools and evaluation of exe
Externí odkaz:
https://doaj.org/article/056d04a0c1ba473fa625b0e579b75a8f
Autor:
Helena Teede, Dominique A. Cadilhac, Tara Purvis, Monique F. Kilkenny, Bruce C.V. Campbell, Coralie English, Alison Johnson, Emily Callander, Rohan S. Grimley, Christopher Levi, Sandy Middleton, Kelvin Hill, Joanne Enticott
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-9 (2024)
Abstract Background In the context of expanding digital health tools, the health system is ready for Learning Health System (LHS) models. These models, with proper governance and stakeholder engagement, enable the integration of digital infrastructur
Externí odkaz:
https://doaj.org/article/0622a429cb5d4d08baa7112c5b0e065f
Autor:
François Gernier, Jean-Michel Grellard, Charlotte Dupont, Hervé Castel, Marie Fernette, François Lahaye, Rose-Marie Charles, Tiphaine Leroux, Céline Ory, Audrey Faveyrial, Adeline Morel, George Emile, Christelle Levy, Carine Segura, Djelila Allouache, Alison Johnson, Julien Geffrelot, Katharina Gunzer, Anaïs Lelaidier, Gilles Girault, Coraline Dubot-poitelon, Chankannira San, Justine Lequesne, Bénédicte Clarisse
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background Non-metastatic breast cancer treatment is mainly based on surgery, with or without chemotherapy, radiotherapy and/or hormone therapy. To reduce the risk of hormone receptor positive (HR+) disease recurrence, hormone therapy is pre
Externí odkaz:
https://doaj.org/article/26a7a9b19d2643669b2a86b963b0dcee
Autor:
François Cherifi, Angélique Da Silva, Alison Johnson, Cécile Blanc-Fournier, Olivia Abramovici, Antonin Broyelle, Christelle Levy, Djelila Allouache, Ioana Hrab, Carine Segura, Adeline Morel, Maud Villemin, Clémence Boscher, Coraline Dubot-Poitelon, Pauline Rottier, Justine Lequesne, George Emile
Publikováno v:
BMC Cancer, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Background HER2 expression has a prognostic and predictive impact in early-stage breast cancer (BC). HER2 positive BC (immunohistochemistry (IHC) score 3 + or 2 + with in situ hybridization (ISH) amplification) are treated with HER2 targeted
Externí odkaz:
https://doaj.org/article/729e7bcb52cf4560a57a3e58bf74b4ff
Autor:
Pauline Rottier, George Emile, Alison Johnson, Christelle Levy, Djelila Allouache, Ioana Hrab, Carine Segura, Adeline Morel, Maud Villemin, Coraline Dubot-Poitelon, Louis Boismoreau, François Cherifi, Justine Lequesne, Angélique Da Silva
Publikováno v:
Frontiers in Oncology, Vol 12 (2023)
BackgroundCyclin dependent kinase inhibitors (CdK4/6i) changed the course of hormone receptor positive (HR+) HER2 negative (HER2-) metastatic breast cancer (mBC). To date, no factors have been shown to predict response to CdK4/6i. Neutrophil-to-lymph
Externí odkaz:
https://doaj.org/article/d562fdba4d99430585cc0e12cca5da20
Publikováno v:
BMC Health Services Research, Vol 21, Iss 1, Pp 1-16 (2021)
Abstract Background The transition to electronic health records offers the potential for big data to drive the next frontier in healthcare improvement. Yet there are multiple barriers to harnessing the power of data. The Learning Health System (LHS)
Externí odkaz:
https://doaj.org/article/5ea78a14d62b4b7cad5188192b565706
Publikováno v:
BMC Health Services Research, Vol 20, Iss 1, Pp 1-13 (2020)
Abstract Background Integrated utilisation of digital health data has the power to transform healthcare to deliver more efficient and effective services, and the learning health system (LHS) is emerging as a model to achieve this. The LHS uses routin
Externí odkaz:
https://doaj.org/article/6a40e971819e409689e70f39a3732e98
Autor:
Joanne C. Enticott, Angela Melder, Alison Johnson, Angela Jones, Tim Shaw, Wendy Keech, Jim Buttery, Helena Teede
Publikováno v:
Frontiers in Medicine, Vol 8 (2021)
Our healthcare system faces a burgeoning aging population, rising complexity, and escalating costs. Around 10% of healthcare is harmful, and evidence is slow to implement. Innovation to deliver quality and sustainable health systems is vital, and the
Externí odkaz:
https://doaj.org/article/ecf52703b83d4052b24e8f67c2524bef
Publikováno v:
Anaesthesiology Intensive Therapy, Vol 51, Iss 4, Pp 306-315 (2019)
There is abundant local, national, and international evidence that clinical decision-making in emergency general surgery (EGS) is frequently sub-optimal, and this has a negative impact on the quality and safety of care and patient outcomes. The barri
Externí odkaz:
https://doaj.org/article/d8339d929a874069b12028ec964bfacb