AIMC Topic: Biomedical Research

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Evolution of Artificial Intelligence-Powered Technologies in Biomedical Research and Healthcare.

Advances in biochemical engineering/biotechnology
Artificial intelligence represents a powerful computational tool to analyze large amounts of data with and without supervision. Such powerful techniques have significantly impacted the advancement of multiple sectors from social media to data securit...

Interpretation and reporting of predictive or diagnostic machine-learning research in Trauma & Orthopaedics.

The bone & joint journal
There is increasing popularity in the use of artificial intelligence and machine-learning techniques to provide diagnostic and prognostic models for various aspects of Trauma & Orthopaedic surgery. However, correct interpretation of these models is d...

What Can We Learn From the Past About the Future of Gerontology: Using Natural Language Processing to Examine the Field of Gerontology.

The journals of gerontology. Series B, Psychological sciences and social sciences
OBJECTIVES: We thematically classified all titles of eight top psychological and social gerontology journals over a period of six decades, between 1961 and February 2020. This was done in order to provide a broad overview of the main topics that inte...

Updates in deep learning research in ophthalmology.

Clinical science (London, England : 1979)
Ophthalmology has been one of the early adopters of artificial intelligence (AI) within the medical field. Deep learning (DL), in particular, has garnered significant attention due to the availability of large amounts of data and digitized ocular ima...

Avoiding a replication crisis in deep-learning-based bioimage analysis.

Nature methods
Deep learning algorithms are powerful tools to analyse, restore and transform bioimaging data, increasingly used in life sciences research. These approaches now outperform most other algorithms for a broad range of image analysis tasks. In particular...

The application of artificial intelligence and data integration in COVID-19 studies: a scoping review.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To summarize how artificial intelligence (AI) is being applied in COVID-19 research and determine whether these AI applications integrated heterogenous data from different sources for modeling.

Early Detection of Pancreatic Cancer: Applying Artificial Intelligence to Electronic Health Records.

Pancreas
The potential of artificial intelligence (AI) applied to clinical data from electronic health records (EHRs) to improve early detection for pancreatic and other cancers remains underexplored. The Kenner Family Research Fund, in collaboration with the...

PharmKG: a dedicated knowledge graph benchmark for bomedical data mining.

Briefings in bioinformatics
Biomedical knowledge graphs (KGs), which can help with the understanding of complex biological systems and pathologies, have begun to play a critical role in medical practice and research. However, challenges remain in their embedding and use due to ...