AIMC Topic: Diffusion of Innovation
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Hopes and Hypes for Artificial Intelligence in Colorectal Cancer Screening.
Gastroenterology
May 11, 2021
Building a central repository landmarks a new era for artificial intelligence-assisted digital pathology development in Europe.
European journal of cancer (Oxford, England : 1990)
Apr 21, 2021
Core services that power AI-driven transformation in cancer research and care.
Biochimica et biophysica acta. Reviews on cancer
Apr 10, 2021
This review captures some key lessons learned in the course of helping some of America's leading healthcare AI innovators achieve scale and sustained impact in complex research and care delivery ecosystems. AI innovators may find it useful to access ...
Deus ex machina? Demystifying rather than deifying machine learning.
The Journal of thoracic and cardiovascular surgery
Mar 11, 2021
A new resource on artificial intelligence powered computer automated detection software products for tuberculosis programmes and implementers.
Tuberculosis (Edinburgh, Scotland)
Jan 4, 2021
Recently, the number of artificial intelligence powered computer-aided detection (CAD) products that detect tuberculosis (TB)-related abnormalities from chest X-rays (CXR) available on the market has increased. Although CXR is a relatively effective ...
Diffusion of Innovation
Automation
Host-Pathogen Interactions
Radiography, Thoracic
Predictive Value of Tests
Radiographic Image Interpretation, Computer-Assisted
Tuberculosis, Pulmonary
Mycobacterium tuberculosis
Lung
Diagnosis, Computer-Assisted
Deep Learning
Software
Reproducibility of Results
Humans
Digital Gastroenterology.
Journal of gastrointestinal and liver diseases : JGLD
Dec 12, 2020
Artificial Intelligence in Low- and Middle-Income Countries: Innovating Global Health Radiology.
Radiology
Oct 6, 2020
Scarce or absent radiology resources impede adoption of artificial intelligence (AI) for medical imaging by resource-poor health institutions. They face limitations in local equipment, personnel expertise, infrastructure, data-rights frameworks, and ...
Computational Cytology: Lessons Learned from Pap Test Computer-Assisted Screening.
Acta cytologica
Jul 21, 2020
BACKGROUND: In the face of rapid technological advances in computational cytology including artificial intelligence (AI), optimization of its application to clinical practice would benefit from reflection on the lessons learned from the decades-long ...
Image Interpretation, Computer-Assisted
Predictive Value of Tests
Workload
Workflow
Female
Papanicolaou Test
Diffusion of Innovation
Humans
Uterine Cervical Neoplasms
Reproducibility of Results
Vaginal Smears
Artificial Intelligence
Diagnosis, Computer-Assisted
Early Detection of Cancer
Automation, Laboratory
Machine Learning in Cardiology-Ensuring Clinical Impact Lives Up to the Hype.
Journal of cardiovascular pharmacology and therapeutics
Jun 4, 2020
Despite substantial advances in the study, treatment, and prevention of cardiovascular disease, numerous challenges relating to optimally screening, diagnosing, and managing patients remain. Simultaneous improvements in computing power, data storage,...
Leading a Digital Transformation in the Pharmaceutical Industry: Reimagining the Way We Work in Global Drug Development.
Clinical pharmacology and therapeutics
May 30, 2020
We are experiencing seminal times in computing that seem to define a fourth industrial revolution. This may fundamentally change the way we live, work, and relate to one another. Embracing data and digital information is a top priority for most indus...
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