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The discussions demonstrate strong support and fascination with the technological advances, such as mentions of GPT-5's architecture and the shift towards direct AI use in radiology, evident through enthusiastic words like 'wild,' 'potential,' and 'future.' The tone reflects optimism about AI's transformative role, emphasizing increased efficiency and future clinical implications.
Most discussions support the positive impact of multimodal large language models on radiology reporting, highlighting efficiency and accuracy improvements.
The posts reveal high interest by emphasizing emerging AI innovations, new architectures, and potential shifts in clinical workflows.
Posts reference specific technical developments like GPT-5's architecture and practical benefits such as faster reporting and error reduction, indicating active engagement.
The discussions suggest these advancements could significantly transform radiology and healthcare, with comments about moving away from traditional tools highlighting potential widespread influence.
Zero-shot audio prompting of GPT-4o & Sonnet 3.5 lets radiologists report 2× faster with 2× fewer errors vs Nuance Dragon !!! Soon, we won’t subscribe to traditional tools or our local RIS, we’ll go straight to OpenAI & friends. Times are changing
GPT-5's hidden "router" architecture, Google's world-generating "Genie," and a model trained on 16 BILLION medical events... The last month in AI has been wild. ✅In our new podcast, @PRouzrokh & @MoeinShariatnia break it all down.
Large language model-based reporting from minimal audio has the potential to improve efficiency and report quality, supporting more streamlined workflows in clinical radiology (Roman Johannes Gertz et al.) #EuropeanRadiology https://t.co/SOi3diIC5K https://t.co/fNnbRy7Ccl
RT @readingroomai: GPT-5's hidden "router" architecture, Google's world-generating "Genie," and a model trained on 16 BILLION medical event…
RT @EurRadiology: Large language model-based reporting from minimal audio has the potential to improve efficiency and report quality, suppo…
RT @readingroomai: GPT-5's hidden "router" architecture, Google's world-generating "Genie," and a model trained on 16 BILLION medical event…
This episode examines recent AI releases like GPT5, Google's Genie, and Nano Banana, discussing their societal impact, reliability issues, and future challenges. It also explores advancements in medical AI, including…
RT @EurRadiology: Large language model-based reporting from minimal audio has the potential to improve efficiency and report quality, suppo…
RT @EurRadiology: Large language model-based reporting from minimal audio has the potential to improve efficiency and report quality, suppo…
Large language model-based reporting from minimal audio has the potential to improve efficiency and report quality, supporting more streamlined workflows in clinical radiology (Roman Johannes Gertz et al.) #EuropeanRadiology https://t.co/SOi3diIC5K https://t.co/fNnbRy7Ccl
RT @readingroomai: GPT-5's hidden "router" architecture, Google's world-generating "Genie," and a model trained on 16 BILLION medical event…
RT @readingroomai: GPT-5's hidden "router" architecture, Google's world-generating "Genie," and a model trained on 16 BILLION medical event…
RT @readingroomai: GPT-5's hidden "router" architecture, Google's world-generating "Genie," and a model trained on 16 BILLION medical event…
GPT-5's hidden "router" architecture, Google's world-generating "Genie," and a model trained on 16 BILLION medical events... The last month in AI has been wild. ✅In our new podcast, @PRouzrokh & @MoeinShariatnia break it all down.
RT @AmineKorchiMD: Zero-shot audio prompting of GPT-4o & Sonnet 3.5 lets radiologists report 2× faster with 2× fewer errors vs Nuance Drago…
RT @AmineKorchiMD: Zero-shot audio prompting of GPT-4o & Sonnet 3.5 lets radiologists report 2× faster with 2× fewer errors vs Nuance Drago…
Zero-shot audio prompting of GPT-4o & Sonnet 3.5 lets radiologists report 2× faster with 2× fewer errors vs Nuance Dragon !!! Soon, we won’t subscribe to traditional tools or our local RIS, we’ll go straight to OpenAI & friends. Times are changing
From dictation to diagnosis: enhancing radiology reporting with integrated speech recognition in multimodal large language models https://pubmed.ncbi.nlm.nih.gov/40815310/
From dictation to diagnosis: enhancing radiology reporting with integrated speech recognition in multimodal large language models https://pubmed.ncbi.nlm.nih.gov/40815310/
From dictation to diagnosis: enhancing radiology reporting with integrated speech recognition in multimodal large language models https://pubmed.ncbi.nlm.nih.gov/40815310/
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