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Mashup Score: 8Doctor Penguin Weekly | Substack - 17 day(s) ago
With a keen eye on the expansive landscape of medical AI, we explore diverse topics and highlight key findings, interesting points, and noteworthy implications from significant medical AI papers every week. Click to read Doctor Penguin Weekly, a Substack publication with thousands of subscribers.
Source: doctorpenguin.substack.comCategories: General Medicine News, General HCPsTweet
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Mashup Score: 6ReXplain: Translating Radiology into Patient-Friendly Video Reports - 2 month(s) ago
Radiology reports often remain incomprehensible to patients, undermining patient-centered care. We present ReXplain (Radiology eXplanation), an innovative AI-driven system that generates…
Source: arXiv.orgCategories: General Medicine News, Future of MedicineTweet-
🎉 Congratulations to talented first author @LLYfromXC and our superstar team of AI Scientists & Radiologists: @TherealDoctorJ, @XiaomanZhang99, Abhinav Kumar, @IR_RayRay, @stuschroff, @DanShilo, @RydhwanaH_MD, @m_moritz! 👏🌟 Read our paper here: https://t.co/KB1cwDM0mX
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Mashup Score: 4HeadCT-ONE: Enabling Granular and Controllable Automated... - 2 month(s) ago
We present Head CT Ontology Normalized Evaluation (HeadCT-ONE), a metric for evaluating head CT report generation through ontology-normalized entity and relation extraction. HeadCT-ONE enhances…
Source: www.arxiv.orgCategories: General Medicine News, General HCPsTweet-
5/ Huge congratulations to lead authors: Julian Acosta (@jn_acosta), Xiaoman Zhang (@XiaomanZhang99), with @siddograMD, @HongYuZhou14, and colleagues @SamPayabvash, @GuidoFalconeMD , and @ekoermann. Check out the paper and GitHub repo here: https://t.co/NMQCDVLHTx
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Mashup Score: 6ReXErr: Synthesizing Clinically Meaningful Errors in Diagnostic... - 2 month(s) ago
Accurately interpreting medical images and writing radiology reports is a critical but challenging task in healthcare. Both human-written and AI-generated reports can contain errors, ranging from…
Source: arXiv.orgCategories: General Medicine News, General HCPsTweet-
7/ 🚀 Check out the full paper for more on how ReXErr can reshape the future of radiology report quality control: https://t.co/FvrjNrODpS
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Mashup Score: 3ReXamine-Global: A Framework for Uncovering Inconsistencies in... - 3 month(s) ago
Given the rapidly expanding capabilities of generative AI models for radiology, there is a need for robust metrics that can accurately measure the quality of AI-generated radiology reports across…
Source: arXiv.orgCategories: General Medicine News, General HCPsTweet-
Read our paper here: https://t.co/dpm2XJJZhy
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Mashup Score: 2
The current gold standard for evaluating generated chest x-ray (CXR) reports is through radiologist annotations. However, this process can be extremely time-consuming and costly, especially when…
Source: arXiv.orgCategories: General Medicine News, General HCPsTweet-
The bright spot is FineRadScore (https://t.co/5IARFJSlVh), a metric that uses GPT-4 to evaluate AI-generated reports. Though still imperfect, FineRadScore stays positively correlated with expert scores across all countries, suggesting that powerful LLMs can improve… https://t.co/1pdcmvO7Fb
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Mashup Score: 2Uncovering Knowledge Gaps in Radiology Report Generation Models... - 3 month(s) ago
Recent advancements in artificial intelligence have significantly improved the automatic generation of radiology reports. However, existing evaluation methods fail to reveal the models’…
Source: arXiv.orgCategories: General Medicine News, General HCPsTweet-
Paper link: https://t.co/GBYJKQ4Fu7 Code & model available at: https://t.co/1gaSOCUhRi
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Mashup Score: 2ReXrank: Radiology Report Generation Leaderboard - 3 month(s) ago
Open-source leaderboard for comparing and benchmarking AI models in radiology report generation.
Source: rexrank.azurewebsites.netCategories: General Medicine News, General HCPsTweet-
@XiaomanZhang99 @HarvardDBMI Website: https://t.co/7njam74Fmb
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Mashup Score: 15Direct Preference Optimization for Suppressing Hallucinated Prior... - 5 month(s) ago
Recent advances in generative vision-language models (VLMs) have exciting potential implications for AI in radiology, yet VLMs are also known to produce hallucinations, nonsensical text, and other…
Source: arXiv.orgCategories: General Medicine News, General HCPsTweet-
5/ Huge congratulations to the amazing authors on this work: Oishi Banerjee (first author) with @HongYuZhou14, @subathraadithan, @StephenKwakMD, @_kaywu. Paper link: https://t.co/GlBS0trbgk
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Mashup Score: 64
Nature Medicine – A large-scale study examined the heterogeneous effects of artificial intelligence (AI) assistance on 140 radiologists across 15 chest X-ray diagnostic tasks and found that…
Source: www.nature.comCategories: General Medicine News, General HCPsTweet-
What's the largest study of AI done with radiologists thus far? Our study on heterogeneity is with 140 radiologists (https://t.co/u4HrYSXwAs). Is anyone aware of other large studies actually *measuring* the effect of AI (not a perception study)?
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201 weeks of tracking the best and latest research in medical AI: https://t.co/4RBUbwU9jx