Methodologic guide for evaluating clinical performance and effect of artificial intelligence technology for medical diagnosis and prediction
The use of artificial intelligence in medicine is currently an issue of great interest, especially
with regard to the diagnostic or predictive analysis of medical images. Adoption of an …
with regard to the diagnostic or predictive analysis of medical images. Adoption of an …
[HTML][HTML] Design characteristics of studies reporting the performance of artificial intelligence algorithms for diagnostic analysis of medical images: results from recently …
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Do as AI say: susceptibility in deployment of clinical decision-aids
Artificial intelligence (AI) models for decision support have been developed for clinical
settings such as radiology, but little work evaluates the potential impact of such systems. In …
settings such as radiology, but little work evaluates the potential impact of such systems. In …
Key challenges for delivering clinical impact with artificial intelligence
Background Artificial intelligence (AI) research in healthcare is accelerating rapidly, with
potential applications being demonstrated across various domains of medicine. However …
potential applications being demonstrated across various domains of medicine. However …
Translation of AI into oncology clinical practice
Artificial intelligence (AI) is a transformative technology that is capturing popular imagination
and can revolutionize biomedicine. AI and machine learning (ML) algorithms have the …
and can revolutionize biomedicine. AI and machine learning (ML) algorithms have the …
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 …
Clinical impact and quality of randomized controlled trials involving interventions evaluating artificial intelligence prediction tools: a systematic review
Q Zhou, Z Chen, Y Cao, S Peng - NPJ digital medicine, 2021 - nature.com
The evidence of the impact of traditional statistical (TS) and artificial intelligence (AI) tool
interventions in clinical practice was limited. This study aimed to investigate the clinical …
interventions in clinical practice was limited. This study aimed to investigate the clinical …
Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review
Background Oral cancer can show heterogenous patterns of behavior. For proper and
effective management of oral cancer, early diagnosis and accurate prediction of prognosis …
effective management of oral cancer, early diagnosis and accurate prediction of prognosis …
Leveraging physiology and artificial intelligence to deliver advancements in health care
Artificial intelligence in health care has experienced remarkable innovation and progress in
the last decade. Significant advancements can be attributed to the utilization of artificial …
the last decade. Significant advancements can be attributed to the utilization of artificial …
Challenges and prospects of visual contactless physiological monitoring in clinical study
The monitoring of physiological parameters is a crucial topic in promoting human health and
an indispensable approach for assessing physiological status and diagnosing diseases …
an indispensable approach for assessing physiological status and diagnosing diseases …