End-to-end design of wearable sensors
Wearable devices provide an alternative pathway to clinical diagnostics by exploiting
various physical, chemical and biological sensors to mine physiological (biophysical and/or …
various physical, chemical and biological sensors to mine physiological (biophysical and/or …
The role of artificial intelligence in early cancer diagnosis
B Hunter, S Hindocha, RW Lee - Cancers, 2022 - mdpi.com
Simple Summary Diagnosing cancer at an early stage increases the chance of performing
effective treatment in many tumour groups. Key approaches include screening patients who …
effective treatment in many tumour groups. Key approaches include screening patients who …
Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on …
Introduction The Transparent Reporting of a multivariable prediction model of Individual
Prognosis Or Diagnosis (TRIPOD) statement and the Prediction model Risk Of Bias …
Prognosis Or Diagnosis (TRIPOD) statement and the Prediction model Risk Of Bias …
A short guide for medical professionals in the era of artificial intelligence
Artificial intelligence (AI) is expected to significantly influence the practice of medicine and
the delivery of healthcare in the near future. While there are only a handful of practical …
the delivery of healthcare in the near future. While there are only a handful of practical …
To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)
Artificial intelligence (AI) has made impressive progress over the past few years, including
many applications in medical imaging. Numerous commercial solutions based on AI …
many applications in medical imaging. Numerous commercial solutions based on AI …
Methods for clinical evaluation of artificial intelligence algorithms for medical diagnosis
Adequate clinical evaluation of artificial intelligence (AI) algorithms before adoption in
practice is critical. Clinical evaluation aims to confirm acceptable AI performance through …
practice is critical. Clinical evaluation aims to confirm acceptable AI performance through …
[HTML][HTML] Trustworthy AI: closing the gap between development and integration of AI systems in ophthalmic practice
C González-Gonzalo, EF Thee, CCW Klaver… - Progress in retinal and …, 2022 - Elsevier
An increasing number of artificial intelligence (AI) systems are being proposed in
ophthalmology, motivated by the variety and amount of clinical and imaging data, as well as …
ophthalmology, motivated by the variety and amount of clinical and imaging data, as well as …
Predicting sex from retinal fundus photographs using automated deep learning
Deep learning may transform health care, but model development has largely been
dependent on availability of advanced technical expertise. Herein we present the …
dependent on availability of advanced technical expertise. Herein we present the …
[HTML][HTML] What we talk about when we talk about trust: theory of trust for AI in healthcare
Artificial intelligence (AI) is at the forefront of innovation in medicine. Researchers and AI
developers have often claimed that" trust" is a critical determinant of the successful adoption …
developers have often claimed that" trust" is a critical determinant of the successful adoption …
Supervised machine learning tools: a tutorial for clinicians
In an increasingly data-driven world, artificial intelligence is expected to be a key tool for
converting big data into tangible benefits and the healthcare domain is no exception to this …
converting big data into tangible benefits and the healthcare domain is no exception to this …