Research graph
References from AI Adoption in US Cancer Centers: National Cross-Sectional Study of Institutional and Policy Determinants. Local targets link to admitted publications; unresolved targets remain external evidence.
Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches
10.1016/j.semcancer.2023.09.001 · External reference
Prospective implementation of AI-assisted screen reading to improve early detection of breast cancer
10.1038/s41591-023-02625-9 · External reference
International evaluation of an AI system for breast cancer screening
10.1038/s41586-019-1799-6 · External reference
Artificial intelligence in lung cancer screening: the future is now
10.3390/cancers15174344 · External reference
Advancing cancer diagnosis and treatment: integrating image analysis and AI algorithms for enhanced clinical practice
10.1007/s10462-025-11117-w · External reference
Application of artificial intelligence in lung cancer
10.3390/cancers14061370 · External reference
Application of artificial intelligence in diagnosis and treatment of colorectal cancer: a novel prospect
10.3389/fmed.2023.1128084 · External reference
Employing nano-enabled artificial intelligence (AI)-based smart technologies for prediction, screening, and detection of cancer
10.1039/d3nr05648a · External reference
Artificial intelligence for assisting cancer diagnosis and treatment in the era of precision medicine
10.1002/cac2.12215 · External reference
Machine learning in medicine
10.1056/nejmra1814259 · External reference
Artificial intelligence in cancer imaging: clinical challenges and applications
10.3322/caac.21552 · External reference
Meeting the moment: addressing barriers and facilitating clinical adoption of artificial intelligence in medical diagnosis
10.31478/202209c · External reference
Adoption of artificial intelligence in healthcare: survey of health system priorities, successes, and challenges
10.1093/jamia/ocaf065 · External reference
The landscape of AI implementation in US hospitals
10.1038/s44360-025-00016-7 · External reference
Hospital artificial intelligence/machine learning adoption by neighborhood deprivation
10.1097/mlr.0000000000002110 · External reference
Classification of countries based on AI adoption indicators: a comparative analysis using the Global AI Vibrancy Measurement Tool
10.37648/ijps.v19i01.004 · External reference
Discovering AI adoption patterns from big academic graph data
10.1007/s11192-024-05228-4 · External reference
Theory of trust and acceptance of artificial intelligence technology (TrAAIT): an instrument to assess clinician trust and acceptance of artificial intelligence
10.1016/j.jbi.2023.104550 · External reference
Women’s perceptions and attitudes to the use of AI in breast cancer screening: a survey in a cancer referral centre
10.1259/bjr.20220569 · External reference
Future of artificial intelligence applications in cancer care: a global cross-sectional survey of researchers
10.3390/curroncol30030260 · External reference
How are US hospitals adopting artificial intelligence? Early evidence from 2022
10.1093/haschl/qxae123 · External reference
The association between area deprivation index and patient-reported outcomes in patients with advanced cancer
10.1089/heq.2020.0037 · External reference
Association of socioeconomic area deprivation index with hospital readmissions after colon and rectal surgery
10.1007/s11605-020-04754-9 · External reference
Determinants and performance outcomes of artificial intelligence adoption: evidence from U.S. Hospitals
10.1016/j.jbusres.2023.114402 · External reference
Artificial intelligence in healthcare institutions: a systematic literature review on influencing factors
10.1016/j.techsoc.2023.102443 · External reference
10.4135/9781071812082
10.4135/9781071812082 · External reference
Diffusion of innovations theory, principles, and practice
10.1377/hlthaff.2017.1104 · External reference
Diffusion of innovation theory for clinical change
10.5694/j.1326-5377.2004.tb05947.x · External reference
10.1002/9781119011071.iemp0137
10.1002/9781119011071.iemp0137 · External reference
From spreading to embedding innovation in health care: implications for theory and practice
10.1097/hmr.0000000000000323 · External reference
Innovations in health care-a conceptual framework
10.3390/ijerph181910026 · External reference
Diffusion of innovations: a guiding framework for public health
10.1177/14034948211014104 · External reference
Applying diffusion of innovation theory to intervention development
10.1177/1049731509335569 · External reference
Digital transformation of industrial firms: an innovation diffusion perspective
10.1108/ejim-01-2020-0018 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
A comparison of weights matrices on computation of dengue spatial autocorrelation
10.1088/1757-899x/335/1/012052 · External reference
Access Weight Matrix: a place and mobility infused spatial weight matrix
10.1111/gean.12395 · External reference
Understanding and interpreting generalized ordered logit models
10.1080/0022250x.2015.1112384 · External reference
Generalized ordered logit/partial proportional odds models for ordinal dependent variables
10.1177/1536867x0600600104 · External reference
10.1007/978-3-319-69909-7_2023-2
10.1007/978-3-319-69909-7_2023-2 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Architectural alignment of process innovation and digital infrastructure in a high-tech hospital
10.1080/0960085x.2020.1728201 · External reference
Policy innovation in healthcare: exploring the adoption and implementation of telemedicine
10.6000/1929-6029.2025.14.14 · External reference
The technological, organizational and environmental determinants of adoption of mobile health applications (m-health) by hospitals in Kenya
10.1371/journal.pone.0225167 · External reference
Consolidating political leadership in healthcare: a mediating institution for priority-setting as a political strategy in a local health system
10.1017/s1744133124000021 · External reference
A politics of priority setting: Ideas, interests and institutions in healthcare resource allocation
10.1177/0952076714529141 · External reference
Political strategies in difficult times - The “backstage” experience of Swedish politicians on formal priority setting in healthcare
10.1016/j.socscimed.2016.06.046 · External reference
Exploring the impact of artificial intelligence on global health and enhancing healthcare in developing nations
10.1177/21501319241245847 · External reference
Machine learning in cardiology: a potential real-world solution in low- and middle-income countries
10.2147/jmdh.s383810 · External reference
The importance of resource awareness in artificial intelligence for healthcare
10.1038/s42256-023-00670-0 · External reference
Machine learning and AI in cancer prognosis, prediction, and treatment selection: a critical approach
10.2147/jmdh.s410301 · External reference
Artificial intelligence breakthroughs in pioneering early diagnosis and precision treatment of breast cancer: a multimethod study
10.1016/j.ejca.2024.114227 · External reference
AI and machine learning in breast cancer: advancing precision medicine through data-driven models
10.59615/ijie.4.4.37 · External reference
Clinical applications of artificial intelligence and machine learning in cancer diagnosis: looking into the future
10.1186/s12935-021-01981-1 · External reference
Advancing oncology diagnostics: AI-enabled early detection of lung cancer through hybrid histological image analysis
10.1109/access.2024.3397040 · External reference
10.1016/j.csbj.2020.08.019 · Admitted local publication
Machine learning meets cancer
10.3390/cancers16061100 · External reference
Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations
10.1016/j.artmed.2024.102861 · External reference
The practical implementation of artificial intelligence technologies in medicine
10.1038/s41591-018-0307-0 · External reference
Ethical and regulatory challenges of AI technologies in healthcare: a narrative review
10.1016/j.heliyon.2024.e26297 · External reference
Clinical implementation of artificial intelligence in gastroenterology: current landscape, regulatory challenges, and ethical issues
10.1053/j.gastro.2025.01.254 · External reference
The inclusion of augmented intelligence in medicine: a framework for successful implementation
10.1016/j.xcrm.2021.100485 · External reference
Shaping the future of healthcare: ethical clinical challenges and pathways to trustworthy AI
10.3390/jcm14051605 · External reference
Integrating artificial intelligence into the clinical practice of radiology: challenges and recommendations
10.1007/s00330-020-06672-5 · External reference
Toward a responsible future: recommendations for AI-enabled clinical decision support
10.1093/jamia/ocae209 · External reference
Exploring the complex nature of implementation of artificial intelligence in clinical practice: an interview study with healthcare professionals, researchers and policy and governance experts
10.1371/journal.pdig.0000847 · External reference
Paying for artificial intelligence in medicine
10.1038/s41746-022-00609-6 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
