The selfBACK artificial intelligence‐based smartphone app can improve low back pain outcome even in patients with high levels of depression or stress
Sign Up to like & getrecommendations! Published in 2023 at "European Journal of Pain"
DOI: 10.1002/ejp.2080
Abstract: selfBACK provides individually tailored self‐management support for low back pain (LBP) via an artificial intelligence‐based smartphone app. We explore whether those with depressive/stress symptoms can benefit from this technology. read more here.
Keywords: smartphone app; based smartphone; intelligence based; artificial intelligence ... See more keywords
AI-based smartphone apps for risk assessment of skin cancer need more evaluation and better regulation.
Sign Up to like & getrecommendations! Published in 2021 at "British journal of cancer"
DOI: 10.1038/s41416-021-01302-3
Abstract: Smartphone applications ("apps") with artificial intelligence (AI) algorithms are increasingly used in healthcare. Widespread adoption of these apps must be supported by a robust evidence-base and app manufacturers' claims appropriately regulated. Current CE marking assessment… read more here.
Keywords: smartphone; based smartphone; smartphone apps; cancer ... See more keywords
Fusion-Based Smartphone Positioning Using Unsupervised Calibration of Crowdsourced Wi-Fi FTM
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DOI: 10.1109/access.2022.3204799
Abstract: This paper presents a multi-source fusion smartphone localization solution using Wi-Fi Fine Time Measurement (FTM) and Pedestrian Dead Reckoning (PDR), calibrated via multi-source and unsupervised crowdsourcing. In crowdsourcing phase, user movement within the site utilizes… read more here.
Keywords: fusion based; fusion; smartphone positioning; based smartphone ... See more keywords
In-Country Method Validation of a Paper-Based, Smartphone-Assisted Iron Sensor for Corn Flour Fortification Programs
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DOI: 10.3390/foods11030276
Abstract: Food fortification in low-income settings is limited due to the lack of simple quality control sensing tools. In this study, we field validated a paper-based, smartphone-assisted colorimetric assay (Nu3Px) for the determination of iron in… read more here.
Keywords: corn; based smartphone; iron; paper based ... See more keywords
Deep-Learning-Based Smartphone Application for Self-Diagnosis of Scleral Jaundice in Patients with Hepatobiliary and Pancreatic Diseases
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DOI: 10.3390/jpm11090928
Abstract: Outpatient detection of total bilirubin levels should be performed regularly to monitor the recurrence of jaundice in hepatobiliary and pancreatic disease patients. However, frequent hospital visits for blood testing are burdensome for patients with poor… read more here.
Keywords: jaundice; based smartphone; hepatobiliary pancreatic; deep learning ... See more keywords