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Biomedical Research

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Deep learning-based facial image analysis in medical research: a systematic review protocol.

BMJ open
INTRODUCTION: Deep learning techniques are gaining momentum in medical research. Evidence shows that deep learning has advantages over humans in image identification and classification, such as facial image analysis in detecting people's medical cond...

Artificial Intelligence Applications in Urology: Reporting Standards to Achieve Fluency for Urologists.

The Urologic clinics of North America
The growth and adoption of artificial intelligence has led to impressive results in urology. As artificial intelligence grows more ubiquitous, it is important to establish artificial intelligence literacy in the workforce. To this end, we present a n...

An updated, computable MEDication-Indication resource for biomedical research.

Scientific reports
The MEDication-Indication (MEDI) knowledgebase has been utilized in research with electronic health records (EHRs) since its publication in 2013. To account for new drugs and terminology updates, we rebuilt MEDI to overhaul the knowledgebase for mode...

Causality in digital medicine.

Nature communications
Ben Glocker (an expert in machine learning for medical imaging, Imperial College London), Mirco Musolesi (a data science and digital health expert, University College London), Jonathan Richens (an expert in diagnostic machine learning models, Babylon...

Automatically disambiguating medical acronyms with ontology-aware deep learning.

Nature communications
Modern machine learning (ML) technologies have great promise for automating diverse clinical and research workflows; however, training them requires extensive hand-labelled datasets. Disambiguating abbreviations is important for automated clinical no...

Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved.

Journal of clinical epidemiology
OBJECTIVE: Evaluate the completeness of reporting of prognostic prediction models developed using machine learning methods in the field of oncology.

The future of basic science in orthopaedics and traumatology: Cassandra or Prometheus?

European journal of medical research
Orthopaedic and trauma research is a gateway to better health and mobility, reflecting the ever-increasing and complex burden of musculoskeletal diseases and injuries in Germany, Europe and worldwide. Basic science in orthopaedics and traumatology ad...

Common Pitfalls and Recommendations for Grand Challenges in Medical Artificial Intelligence.

European urology focus
With the impact of artificial intelligence (AI) algorithms on medical research on the rise, the importance of competitions for comparative validation of algorithms, so-called challenges, has been steadily increasing, to a point at which challenges ca...

The potential of AI in cancer care and research.

Biochimica et biophysica acta. Reviews on cancer
Current applications of artificial intelligence (AI), machine learning, and deep learning in cancer research and clinical care are highly diverse-from aiding radiologists in reading medical images to predicting oncoprotein folding and dynamics. The l...