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Mashup Score: 0Using digital health to address antimicrobial resistance - 3 hour(s) ago
Nov 18–24 marks World Antimicrobial Resistance Awareness Week, a global initiative aimed at increasing awareness and understanding of this major global health problem. By 2050, antimicrobial resistance (AMR) is forecasted to cause 1·91 million direct deaths and 8·22 million associated deaths globally, with the highest rates anticipated in south Asia, Latin America, and the Caribbean. Vulnerable groups, including pregnant people and neonates, will be primarily affected. The misuse and overuse of antibiotics greatly contribute to the rise of AMR, worsen patient outcomes, and increase health-care costs.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 0Innovative diagnostic technologies: navigating regulatory frameworks through advances, challenges, and future prospects - 4 hour(s) ago
Diagnostic tools are key to guiding patient management and informing public health policies to control infectious diseases. However, many diseases still do not have effective diagnostics and much of the global population faces restricted access to reliable, affordable testing. This limitation underscores the urgent need for innovation to enhance diagnostic availability and effectiveness. Developing diagnostics presents distinct challenges, especially for innovators and regulators. Unlike medicines, regulatory pathways for diagnostics are often less defined and more complex due to their diverse risk profiles and wide range of products.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet-
NEW Series paper: Innovative diagnostic technologies: navigating regulatory frameworks through advances, challenges, and future prospects. @jesusrodman https://t.co/9vZl8QFomf Read it here: https://t.co/9vZl8QFomf https://t.co/To9NZaQxfX
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Mashup Score: 2Advancing the management of maternal, fetal, and neonatal infection through harnessing digital health innovations - 4 hour(s) ago
Infections occurring in the mother and neonate exert a substantial health burden worldwide. Optimising infection management is crucial for improving individual outcomes and reducing the incidence of antimicrobial resistance. Digital health technologies, through their accessibility and scalability, hold promise in improving the quality of care across diverse health-care settings. In settings with poor access to laboratory services, innovative uses of existing data, point-of-care diagnostics, and wearables could allow for better recognition of host responses during infection and antimicrobial optimisation.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet-
NEW Series paper: Advancing the management of maternal, fetal, and neonatal infection through harnessing digital health innovations. @CAMO_Net1 @HPRUamr Read it here: https://t.co/fkAr3IlfWs https://t.co/EKQR836w6a
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Mashup Score: 5
Digital health technology (DHT) describes tools and devices that generate or process health data. The application of DHTs could improve the diagnosis, treatment, and surveillance of bacterial infection and the prevention of antimicrobial resistance (AMR). DHTs to optimise antimicrobial use are rapidly being developed. To support the global adoption of DHTs and the opportunities offered to optimise antimicrobial use consensus is needed on what data are required to support antimicrobial decision making.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet-
NEW Series paper: Using digital health technologies to optimise antimicrobial use globally. @TmRawson Read it here: https://t.co/sS7wDm8T4B https://t.co/BERf5Vg9wM
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Mashup Score: 0Addressing antimicrobial resistance with digital approaches - 4 hour(s) ago
In 2021, bacterial antimicrobial resistance (AMR) was linked to 4.71 million deaths, with 1.14 million directly attributable to it. By 2050, AMR could cause 1.91 million direct deaths and 8.22 million associated deaths globally. Digital technologies have the potential to play a crucial role in combating this pressing global health issue. This Series in The Lancet Digital Health features three papers discussing the latest advancements and challenges in digital health approaches to AMR. The papers explore
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet-
By 2050, antimicrobial resistance (AMR) could cause 1.91 million direct deaths and 8.22 million associated deaths globally. A new @LancetDigitalH Series including three papers highlights the potential of digital approaches to reduce the burden of AMR: https://t.co/8tUSGuSiIO https://t.co/GqF4Tnbt35
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Mashup Score: 1Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development—a systematic review - 21 day(s) ago
During the COVID-19 pandemic, artificial intelligence (AI) models were created to address health-care resource constraints. Previous research shows that health-care datasets often have limitations, leading to biased AI technologies. This systematic review assessed datasets used for AI development during the pandemic, identifying several deficiencies. Datasets were identified by screening articles from MEDLINE and using Google Dataset Search. 192 datasets were analysed for metadata completeness, composition, data accessibility, and ethical considerations.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet-
NEW Systematic Review: "Revealing transparency gaps in publicly available #COVID-19 datasets used for medical #ArtificialIntelligence development". @jaldmn @DrXiaoLiu Read it here: https://t.co/ldl9PjVtws https://t.co/nwniuu2JFZ
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Mashup Score: 4Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challenge - 21 day(s) ago
Deep learning has shown great potential to automate abdominal organ segmentation and quantification. However, most existing algorithms rely on expert annotations and do not have comprehensive evaluations in real-world multinational settings. To address these limitations, we organised the FLARE 2022 challenge to benchmark fast, low-resource, and accurate abdominal organ segmentation algorithms. We first constructed an intercontinental abdomen CT dataset from more than 50 clinical research groups.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet-
NEW Resource: "Unleashing the strengths of unlabelled data in #DeepLearning-assisted pan-cancer abdominal organ quantification: the FLARE22 challenge". @JunMa_11 @BoWang87 Read it here: https://t.co/P51O9kB0aS https://t.co/ZcKyuwLnso
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Mashup Score: 8Strategies for integrating artificial intelligence into mammography screening programmes: a retrospective simulation analysis - 21 day(s) ago
The decision referral strategies offered the largest improvements in cancer detection rates and reduction in recall rates, and all strategies except normal triaging showed potential to improve screening metrics.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet-
NEW Research: "Strategies for integrating #ArtificialIntelligence into mammography screening programmes: a retrospective simulation analysis". Read it here: https://t.co/rwpCfTZrdK https://t.co/msNepoLPcJ
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Mashup Score: 8Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study - 21 day(s) ago
AIRE is an actionable, explainable, and biologically plausible AI-ECG risk estimation platform that has the potential for use worldwide across a wide range of clinical contexts for short-term and long-term risk estimation.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet-
NEW Research: "#ArtificialIntelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study". @arunsau_ Read it here: https://t.co/MfatTY4WoV https://t.co/OjW7KBw9gl
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Mashup Score: 2
Differences in testing behaviours across sociodemographic groups might be reflective of the higher costs of self-isolation to vulnerable populations, differences in test accessibility, differences in digital literacy, and differing perceptions about the utility of tests and risks posed by infection. This study shows how mass testing data can be used in conjunction with surveillance surveys to identify gaps in the uptake of public health interventions both at fine-scale levels and across sociodemographic groups.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet-
NEW Research on #COVID-19 testing and reporting behaviours in England across different sociodemographic groups. @SumaliBajaj @ReshaniaN @JoeTLH @BrieucLehmann Read it here: https://t.co/WCBzWlRYic https://t.co/KtLgmBSJCy
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NEW Editorial: Using digital health to address antimicrobial resistance. Read it here: https://t.co/LwJwAWFL7G https://t.co/X1mTuzj70W