The Lancet Digital Health
@LancetDigitalH
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We are an #OpenAccess journal publishing innovative & practice-changing research & opinion on clinical & public/global health technology. #Lancet200
London, England
Joined January 2019
New issue out NOW! Covering: sexually transmitted infections, digital twins, cyberattacks and more!.
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NEW Viewpoint: Computer-aided reading of chest radiographs for paediatric tuberculosis: current status and future directions. Read it here:
thelancet.com
Computer-aided detection (CAD) systems for automated reading of chest x-rays (CXRs) have been developed and approved for tuberculosis triage in adults but not in children. However, CXR is frequently...
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NEW Research: Characterising non-household contact patterns relevant to respiratory transmission in the USA: analysis of a cross-sectional survey. Read it here:
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NEW Comment: How CHART (Chatbot Assessment Reporting Tool) can help to advance clinical #ArtificialIntelligence research through clearer task definition and robust validation. Read it here:
thelancet.com
Generative artificial intelligence (AI) shows remarkable abilities to provide accurate and relevant responses to queries in specialist domains such as clinical medicine. The advancement in generative...
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NEW Research: Re-engineering a #MachineLearning phenotype to adapt to the changing #COVID-19 landscape: a machine learning modelling study from the N3C and RECOVER consortia. Read it here:
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NEW Research: Assessing genotypeโphenotype correlations in colorectal cancer with #DeepLearning: a multicentre cohort study. @jnkath . Read it here:
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RT @BrdKhsrv: ๐จ Excited to share our new paper in @LancetDigitalH! . LLMs have revolutionized language generation, but what about image genโฆ.
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NEW Viewpoint: Exploring the potential of generative #ArtificialIntelligence in medical image synthesis: opportunities, challenges, and future directions. @BrdKhsrv @sunny2eets @Slowvak @HaritrivediMD @JudyWawira . Read it here:
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NEW Research: #AI as an independent second reader in detection of clinically relevant #BreastCancer within a population-based screening programme in the Netherlands: a retrospective cohort study. Read it here:
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NEW Editorial: Rapid #GenerativeAI rollout in health care. Read it here:
thelancet.com
On June 30, Microsoft announced a generative AI (genAI) system that outperforms physicians in diagnosing complex cases, solving eight of 10 NEJM case studies, compared to two of 10 for physicians....
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RT @LancetDigitalH: NEW Viewpoint - When data disappear: public health pays as US policy strays. Read it here: httโฆ.
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RT @LancetDigitalH: NEW Health Policy: Medical digital twins: enabling precision medicine and medical artificial intelligence. @chris_sadeeโฆ.
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RT @LancetDigitalH: NEW Research: Development of #MachineLearning prediction models for systemic inflammatory response following controlledโฆ.
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RT @LancetDigitalH: NEW Editorial: Fixing cracks in the #ArtificialIntelligence drug development pipeline. Read it here: .
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RT @LancetDigitalH: New Comment - One shot at trust: building credible evidence for medical #ArtificialIntelligence. Read it here: https:/โฆ.
thelancet.com
The landscape of medical artificial intelligence (AI) is experiencing unprecedented momentum. Since January, 2023, the number of publications on this subject has remarkably increased, with each new...
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RT @LancetDigitalH: NEW Research: Early detection of sexually transmitted infections from skin lesions with #DeepLearning: a systematic revโฆ.
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RT @hans_kluge: ๐ข ๐๐ข๐ ๐ข๐ญ๐๐ฅ ๐ก๐๐๐ฅ๐ญ๐ก ๐๐๐ง ๐๐ฆ๐ฉ๐จ๐ฐ๐๐ซโ๐๐ฎ๐ญ ๐ข๐ญ ๐๐๐ง ๐๐ฅ๐ฌ๐จ ๐๐ ๐ฐ๐๐๐ฉ๐จ๐ง๐ข๐ณ๐๐. Technology-facilitated violence against women (TFVAW) is a risโฆ.
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๐ข The Chatbot Assessment Reporting Tool (#CHART) guidelines have been published, recommending how to report studies evaluating the performance of #GenAI-driven chatbots providing health advice:
bmj.com
The Chatbot Assessment Reporting Tool (CHART) reporting guideline promotes transparent and comprehensive reporting of studies evaluating the performance of generative artificial intelligence (AI)-d...
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NEW Research: Early detection of sexually transmitted infections from skin lesions with #DeepLearning: a systematic review and meta-analysis. Read it here:
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