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Mashup Score: 3
AI-PAL allowed for accurate diagnosis of the three main acute leukaemia subtypes. Based on ten simple laboratory parameters, its broad availability could help guide initial therapies in a context where cytological expertise is lacking, such as in low-income countries.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 13
The relentless increase in administrative responsibilities, amplified by electronic health record (EHR) systems, has diverted clinician attention from direct patient care, fuelling burnout.1 In response, large language models (LLMs) are being adopted to streamline clinical and administrative tasks. Notably, Epic is currently leveraging OpenAI’s ChatGPT models, including GPT-4, for electronic messaging via online portals.2 The volume of patient portal messaging has escalated in the past 5–10 years,3 and general-purpose LLMs are being deployed to manage this burden.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 13
The relentless increase in administrative responsibilities, amplified by electronic health record (EHR) systems, has diverted clinician attention from direct patient care, fuelling burnout.1 In response, large language models (LLMs) are being adopted to streamline clinical and administrative tasks. Notably, Epic is currently leveraging OpenAI’s ChatGPT models, including GPT-4, for electronic messaging via online portals.2 The volume of patient portal messaging has escalated in the past 5–10 years,3 and general-purpose LLMs are being deployed to manage this burden.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 13
The relentless increase in administrative responsibilities, amplified by electronic health record (EHR) systems, has diverted clinician attention from direct patient care, fuelling burnout.1 In response, large language models (LLMs) are being adopted to streamline clinical and administrative tasks. Notably, Epic is currently leveraging OpenAI’s ChatGPT models, including GPT-4, for electronic messaging via online portals.2 The volume of patient portal messaging has escalated in the past 5–10 years,3 and general-purpose LLMs are being deployed to manage this burden.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 6
Read the current issue of The Lancet Microbe, providing a destination for the best microbiology-focused clinical research
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 215 years of The Lancet Digital Health - 3 day(s) ago
5 years ago, the field of digital health was overhyped with little substance. When we launched the journal in May, 2019, we were ambitious, yet cautious. We aimed to amplify rigorous research exploring the potential of digital health, and openly acknowledged and critiqued the difficulties of this rapidly advancing field. On our 5th anniversary, we reflect on the impacts of researchers’ contributions on clinical practice and policy, and ask, “has digital health transformed medicine?”
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet-
It's our 5th birthday! Read our Editorial for our reflections on the last five years of #DigitalHealth research. We look forward to championing equity, transparency and inclusivity in the field over next five years with our authors, reviewers and readers. https://t.co/fYrqnNrPJv https://t.co/RgX92gySgV
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Mashup Score: 3Measuring fairness preferences is important for artificial intelligence in health care - 3 day(s) ago
The debate about fairness of artificial intelligence (AI) in health care is gaining momentum. At present, the focus of the debate is on identifying unfair outcomes resulting from biased algorithmic decision making. Bias can arise unintentionally from either real-world implementation or technical reasons such as biased training data or erroneous assumptions underlying algorithm design.1,2 Although this biased algorithmic decision making can be the source of unfairness for some algorithmic outcomes, it is not universally applicable for every outcome that is regarded unfair.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 19Randomised controlled trials evaluating artificial intelligence in clinical practice: a scoping review - 3 day(s) ago
This scoping review of randomised controlled trials on artificial intelligence (AI) in clinical practice reveals an expanding interest in AI across clinical specialties and locations. The USA and China are leading in the number of trials, with a focus on deep learning systems for medical imaging, particularly in gastroenterology and radiology. A majority of trials (70 [81%] of 86) report positive primary endpoints, primarily related to diagnostic yield or performance; however, the predominance of single-centre trials, little demographic reporting, and varying reports of operational efficiency raise concerns about the generalisability and practicality of these results.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 6Data challenges for international health emergencies: lessons learned from ten international COVID-19 driver projects - 3 day(s) ago
The COVID-19 pandemic highlighted the importance of international data sharing and access to improve health outcomes for all. The International COVID-19 Data Alliance (ICODA) programme enabled 12 exemplar or driver projects to use existing health-related data to address major research questions relating to the pandemic, and developed data science approaches that helped each research team to overcome challenges, accelerate the data research cycle, and produce rapid insights and outputs. These approaches also sought to address inequity in data access and use, test approaches to ethical health data use, and make summary datasets and outputs accessible to a wider group of researchers.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 6
We found some evidence that a universal online programme for the prevention of anxiety, depression, and substance use delivered in early adolescence is effective in reducing the use and harmful use of alcohol into early adulthood. However, confidence in these findings is reduced due to baseline differences, and we did not see a difference in the predicted probability of drinking between groups at 72-month follow-up. These findings suggest that a universal prevention programme in adolescence is not sufficient to have lasting effects on mental health and substance use disorders in the long term.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
NEW Research on the evaluation of a #MachineLearning model based on laboratory parameters for the prediction of acute #leukaemia subtypes: a multicentre model development and validation study in France. @AlcazerVincent Read it here: https://t.co/TYg1qeJGqy https://t.co/sJQ7vNCJD1