[HTML][HTML] 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 …
[HTML][HTML] Revolutionizing healthcare: the role of artificial intelligence in clinical practice
Introduction Healthcare systems are complex and challenging for all stakeholders, but
artificial intelligence (AI) has transformed various fields, including healthcare, with the …
artificial intelligence (AI) has transformed various fields, including healthcare, with the …
2022 AHA/ACC/HFSA guideline for the management of heart failure: a report of the American College of Cardiology/American Heart Association Joint Committee on …
Abstract Aim The “2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure”
replaces the “2013 ACCF/AHA Guideline for the Management of Heart Failure” and the …
replaces the “2013 ACCF/AHA Guideline for the Management of Heart Failure” and the …
[HTML][HTML] Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare
Abstract Machine learning (ML) and artificial intelligence (AI) algorithms have the potential to
derive insights from clinical data and improve patient outcomes. However, these highly …
derive insights from clinical data and improve patient outcomes. However, these highly …
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 …
Designing deep learning studies in cancer diagnostics
A Kleppe, OJ Skrede, S De Raedt, K Liestøl… - Nature Reviews …, 2021 - nature.com
The number of publications on deep learning for cancer diagnostics is rapidly increasing,
and systems are frequently claimed to perform comparable with or better than clinicians …
and systems are frequently claimed to perform comparable with or better than clinicians …
Artificial intelligence for mental health care: clinical applications, barriers, facilitators, and artificial wisdom
Artificial intelligence (AI) is increasingly employed in health care fields such as oncology,
radiology, and dermatology. However, the use of AI in mental health care and …
radiology, and dermatology. However, the use of AI in mental health care and …
Geographic distribution of US cohorts used to train deep learning algorithms
Methods| We searched PubMed for peer-reviewed articles published online or in print
between January 1, 2015, and December 31, 2019, that trained a deep learning algorithm to …
between January 1, 2015, and December 31, 2019, that trained a deep learning algorithm to …
Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: A systematic review
SF Mousavi Baigi, M Sarbaz… - Health science …, 2023 - Wiley Online Library
Abstract Background and Aims This systematic review examined healthcare students'
attitudes, knowledge, and skill in Artificial Intelligence (AI). Methods On August 3, 2022 …
attitudes, knowledge, and skill in Artificial Intelligence (AI). Methods On August 3, 2022 …
Artificial intelligence for intraoperative guidance: using semantic segmentation to identify surgical anatomy during laparoscopic cholecystectomy
Objective: The aim of this study was to develop and evaluate the performance of artificial
intelligence (AI) models that can identify safe and dangerous zones of dissection, and …
intelligence (AI) models that can identify safe and dangerous zones of dissection, and …