AIMC Topic: Diffusion of Innovation

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Machine learning in population health: Opportunities and threats.

PLoS medicine
Abraham D. Flaxman and Theo Vos of the Institute for Health Metrics and Evaluation, University of Washington, discuss near-term applications for ML in population health and name their priorities for ongoing ML development.

Imaging, Health Record, and Artificial Intelligence: Hype or Hope?

Current cardiology reports
PURPOSE OF REVIEW: The review is focused on "digital health", which means advanced analytics based on multi-modal data. The "Health Care Internet of Things", which uses sensors, apps, and remote monitoring could provide continuous clinical informatio...

Machine learning in chemoinformatics and drug discovery.

Drug discovery today
Chemoinformatics is an established discipline focusing on extracting, processing and extrapolating meaningful data from chemical structures. With the rapid explosion of chemical 'big' data from HTS and combinatorial synthesis, machine learning has be...

The future of radiology augmented with Artificial Intelligence: A strategy for success.

European journal of radiology
The rapid development of Artificial Intelligence/deep learning technology and its implementation into routine clinical imaging will cause a major transformation to the practice of radiology. Strategic positioning will ensure the successful transition...

Current status of endovascular catheter robotics.

The Journal of cardiovascular surgery
In this review, we will detail the evolution of endovascular therapy as the basis for the development of catheter-based robotics. In parallel, we will outline the evolution of robotics in the surgical space and how the convergence of technology and t...

Translational Radiomics: Defining the Strategy Pipeline and Considerations for Application-Part 2: From Clinical Implementation to Enterprise.

Journal of the American College of Radiology : JACR
Enterprise imaging has channeled various technological innovations to the field of clinical radiology, ranging from advanced imaging equipment and postacquisition iterative reconstruction tools to image analysis and computer-aided detection tools. Mo...

Artificial intelligence in healthcare: past, present and future.

Stroke and vascular neurology
Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. We survey the current status of AI ...

Quantitative Analysis of Technological Innovation in Knee Arthroplasty: Using Patent and Publication Metrics to Identify Developments and Trends.

The Journal of arthroplasty
BACKGROUND: Surgery is in a constant continuum of innovation with refinement of technique and instrumentation. Arthroplasty surgery potentially represents an area with highly innovative process. This study highlights key area of innovation in knee ar...

Current state of micro-robots/devices as substitutes for screening colonoscopy: assessment based on technology readiness levels.

Surgical endoscopy
BACKGROUND: Previous reports have described several candidates, which have the potential to replace colonoscopy, but to date, there is still no device capable of fully replacing flexible colonoscopy in the management of colonic disorders and for mass...