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Mashup Score: 0AI for identification of systemic biomarkers from external eye photos: a promising field in the oculomics revolution - 1 year(s) ago
In The Lancet Digital Health, Boris Babenko and colleagues describe a deep learning model for detecting systemic biomarkers from external eye photographs.1 Their Article shows an elegant and comprehensive evaluation of the deep learning model’s robustness using numerous analyses for predicting systemic factors, such as those related to the blood (haemoglobin, white blood cells, platelets), bone…
Source: The Lancet Digital HealthCategories: Future of Medicine, Latest HeadlinesTweet
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Mashup Score: 0A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study - 1 year(s) ago
We found further evidence that external eye photographs contain biomarkers spanning multiple organ systems. Such biomarkers could enable accessible and non-invasive screening of disease. Further work is needed to understand the translational implications.
Source: The Lancet Digital HealthCategories: Future of Medicine, Latest HeadlinesTweet-
NEW Research: A #DeepLearning model for novel systemic #biomarkers in photographs of the external eye. @GoogleHealth Read it here: https://t.co/IjF3YOPl0h https://t.co/4TeD5i92t1
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Mashup Score: 0Using ChatGPT to write patient clinic letters - 1 year(s) ago
The appropriate recording and communication of clinical information between clinicians and patients are of paramount importance. Recently there has been a much-needed drive to improve the information that is shared with patients.1 However, the preparation of clinical letters can be time consuming. Although there has been an increase in the use of letter templates and voice recognition systems,…
Source: The Lancet Digital HealthCategories: Future of Medicine, Latest HeadlinesTweet-
Using ChatGPT to write patient clinic letters - The Lancet Digital Health #GPT3 #GPT4 #ChatGPT #digitalhealth #medicine https://t.co/N3O2JeR9VX
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Mashup Score: 0Wearable health data privacy - 1 year(s) ago
Wearable health-care technology has traditionally been used to monitor and improve the personal fitness of the wearer. More recently, wearables have been used by researchers in health-care research to record uniquely continuous, longitudinal health data outside of clinical settings. Data collected from wearables has been used in a plethora of research applications; from predicting COVID-19…
Source: The Lancet Digital HealthCategories: Cardiologists, Latest HeadlinesTweet-
Wearable health data privacy https://t.co/AIbpEVt22F #wearables #privacy #data via @LancetDigitalH
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Mashup Score: 2Development and validation of a diagnostic aid for convulsive epilepsy in sub-Saharan Africa: a retrospective case-control study - 1 year(s) ago
On the basis of these findings, we developed the Epilepsy Diagnostic Companion as a predictive model and app offering a validated culture-specific and region-specific solution to confirm the diagnosis of a convulsive epileptic seizure in people with suspected epilepsy. The questionnaire panel is simple and accessible for health-care workers without specialist knowledge to administer. This tool…
Source: The Lancet Digital HealthCategories: Future of Medicine, Latest HeadlinesTweet-
NEW Research: 'Development and validation of a diagnostic aid for convulsive #epilepsy in sub-Saharan Africa: a retrospective case-control study'. #MachineLearning https://t.co/R6XH8jravk https://t.co/TgTYOptEZA
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Mashup Score: 7
Momentum has increased to eliminate race correction from clinical algorithms, but efforts have focused primarily on examples in which adjusting by race might worsen an existing racial inequity, such as in the revised vaginal birth after cesarean section calculator and equations for estimated glomerular filtration rate.1 Other examples, such as the atherosclerotic cardiovascular disease (ASCVD)…
Source: The Lancet Digital HealthCategories: Cardiologists, Latest HeadlinesTweet-
3/ These racial / ethnic differences in statin 💊 use also exist despite the fact that the current 🫀 disease risk calculator overestimates risk if you’re Black vs. if you’re White. Another sad example of how race-based algorithms didn’t ⬇️ disparities. https://t.co/02EHsKxFOf https://t.co/CMGUfdg1xM
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Mashup Score: 0Wearable health data privacy - 1 year(s) ago
Wearable health-care technology has traditionally been used to monitor and improve the personal fitness of the wearer. More recently, wearables have been used by researchers in health-care research to record uniquely continuous, longitudinal health data outside of clinical settings. Data collected from wearables has been used in a plethora of research applications; from predicting COVID-19…
Source: The Lancet Digital HealthCategories: Future of Medicine, Latest HeadlinesTweet-
Read our new Editorial on what can be done to improve #dataprivacy in studies using #wearables data. https://t.co/2waZdSbgaJ https://t.co/MDLWzDfO6x
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Mashup Score: 6Using ChatGPT to write patient clinic letters - 1 year(s) ago
The appropriate recording and communication of clinical information between clinicians and patients are of paramount importance. Recently there has been a much-needed drive to improve the information that is shared with patients.1 However, the preparation of clinical letters can be time consuming. Although there has been an increase in the use of letter templates and voice recognition systems,…
Source: The Lancet Digital HealthCategories: Expert Picks, Latest HeadlinesTweet-
Using #ChatGPT to write patient clinic letters: There was a high overall correctness and humanness score with ChatGPT which were written at a reading level that is broadly similar to current real-world human generated letters. https://t.co/PMXPcJBKtI
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Mashup Score: 3Using ChatGPT to write patient clinic letters - 1 year(s) ago
The appropriate recording and communication of clinical information between clinicians and patients are of paramount importance. Recently there has been a much-needed drive to improve the information that is shared with patients.1 However, the preparation of clinical letters can be time consuming. Although there has been an increase in the use of letter templates and voice recognition systems,…
Source: The Lancet Digital HealthCategories: Future of Medicine, Latest HeadlinesTweet-
Using ChatGPT to write patient clinic letters https://t.co/iF2Aie0Veu #ChatGPT #AI #GPT3 #medicine #digitalhealth
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Mashup Score: 0Using ChatGPT to write patient clinic letters - 1 year(s) ago
The appropriate recording and communication of clinical information between clinicians and patients are of paramount importance. Recently there has been a much-needed drive to improve the information that is shared with patients.1 However, the preparation of clinical letters can be time consuming. Although there has been an increase in the use of letter templates and voice recognition systems,…
Source: The Lancet Digital HealthCategories: Future of Medicine, Latest HeadlinesTweet-
NEW Comment by Stephen R Ali et al: 'Using #ChatGPT to write patient clinic letters'. @SwanseaMedicine @SwanseabayNHS @BAPRASvoice @scarfreeworld @ResearchWales @ReconRegen https://t.co/O8dMQJVciO
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Linked Comment by Delia Cabrera DeBuc: #ArtificialIntelligence for identification of systemic #biomarkers from external eye photos: a promising field in the #oculomics revolution. @umiamimedicine Read it here: https://t.co/ASqG74m5eS