{"id":83214,"topic":"ai","source":"eurekalert.org","title":"From generative AI to the ultrasound probe: Targeting AI expands its hands-on approach to nephrology - eurekalert.org","url":"https://www.eurekalert.org/news-releases/1144124","url_hash":"1e0013f36d64befb665814d99699cc01b912f85f","author":"","summary":"<a href=\"https://news.google.com/rss/articles/CBMiXEFVX3lxTE1IRVBXemQ1TGhyM1Z3cDNseUxiY0xTQ0FxQVhmRkpVd2U5b3BKRHliaUVVTnlJVkR0SC1WbldMM2gzRjFMWGRjeEtMbHpiZGJKRlNLNGlVMnZsM3ct?oc=5\" target=\"_blank\">From generative AI to the ultrasound probe: Targeting AI expands its hands-on approach to nephrology</a>&nbsp;&nbsp;<font color=\"#6f6f6f\">eurekalert.org</font>","content":"PARIS, France - September 15, 2026 - Artificial intelligence in medicine is rapidly moving beyond large language models, data analysis and prediction. One of its emerging applications is at the patient’s bedside, where AI can assist physicians with medical imaging and point-of-care ultrasound.\nOn September 16 in Paris, this transition from discussing AI to testing its practical applications will be explored during the third Ultrasound in Nephrology training program.\nThe initiative is part of the broader activities developed around Targeting AI & Nephrology, which brings together nephrologists, researchers, healthcare professionals and technology experts to examine how artificial intelligence can be responsibly integrated into kidney care.\nWhat can AI actually do in ultrasound?\nFor nephrologists, this is becoming an increasingly practical question.\nPoint-of-care ultrasound, or POCUS, can provide information directly at the bedside across several areas relevant to nephrology, including the kidneys and urinary tract, heart and lungs, vascular access, Doppler assessment and volume status.\nNew generations of ultrasound systems are now integrating AI-assisted functions designed to support image acquisition, optimize selected settings and facilitate certain measurements.\nThe objective is not to replace clinical expertise. It is to investigate whether AI can reduce some of the technical barriers to ultrasound, support physicians during image acquisition and help move more efficiently from the image to clinically useful information.\nPutting the technology into physicians’ hands\nThe September 16 program has therefore been designed around practical experience.\nParticipants will rotate through small-group workshops covering renal and bladder ultrasound, arteriovenous fistula and Doppler assessment, cardiac and pulmonary ultrasound, and clinical cases.\nRather than simply watching a demonstration, physicians will have the opportunity to take the ultrasound probe in hand, acquire images, discuss their interpretation and explore new technological capabilities directly with experts.\nThis hands-on approach reflects a broader direction for Targeting AI & Nephrology: moving beyond discussions about what artificial intelligence could do and examining what it can realistically contribute to everyday medical practice.\n“We have spent several years discussing what AI could bring to nephrology. Now we also want physicians to test these technologies themselves and ask a very simple question: does this really help us in clinical practice?” said Dr. Marvin Edeas, Université Paris Cité.\n“Ultrasound is particularly interesting because it sits directly at the interface between technology, clinical examination and immediate decision-making. AI may help make some aspects of ultrasound easier and faster, but these technologies need to be confronted with the reality of clinical practice.”\nFrom generative AI to real-world clinical applications\nTargeting AI & Nephrology has progressively explored different dimensions of artificial intelligence relevant to kidney medicine, including medical imaging, predictive approaches, transplantation, clinical data, generative AI, large language models, medical education and responsible implementation.\nThe ultrasound initiative extends this strategy into another practical field: AI-assisted medical imaging at the point of care.\nIt also reflects a wider ambition to create continuity between scientific meetings and activities conducted throughout the year.\nThe goal is to build bridges between AI research, technological innovation, physician education and real-world clinical practice.\nThe central question is therefore evolving.\nIt is no longer simply:“What can AI do?”\nIt is increasingly:“Where does AI provide genuine clinical value, and how should physicians be trained to use it?”\nFor Targeting AI & Nephrology, AI-assisted ultrasound provides a particularly relevant environment in which to explore these questions, with the technology in the physician’s hands.\n \nAbout Targeting AI & Nephrology\nTargeting AI & Nephrology is an initiative dedicated to exploring the scientific, clinical, educational and ethical implications of artificial intelligence in nephrology and healthcare.\nIts activities address emerging applications including generative AI, large language models, medical imaging, clinical data, predictive approaches, transplantation, medical education and the responsible integration of AI into clinical practice.\nThe initiative aims to connect clinicians, researchers and technology experts while promoting a practical and critical evaluation of how AI can contribute to healthcare.\nOfficial website: https://targeting-ai.com/","image_url":"https://mediasvc.eurekalert.org/Api/v1/Multimedia/997f54aa-d833-4323-b522-811138c3e080/Rendition/thumbnail/Content/Public","lang":"en","published_at":"2026-09-15T21:26:28+00:00","fetched_at":"2026-09-15T22:15:04+00:00","status":"read","starred":0,"extract_state":"ok","summary_auto":"PARIS, France - September 15, 2026 - Artificial intelligence in medicine is rapidly moving beyond large language models, data analysis and prediction. 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One of its emerging applications is at the patient’s bedside, where AI can assist physicians with medical imaging and point-of-care ultrasound.\nOn September 16 in Paris, this transition from discussing AI to testing its practical applications will be explored during the third Ultrasound in Nephrology training program.\nThe initiative is part of the broader activities developed around Targeting AI & Nephrology, which brings together nephrologists, researchers, healthcare professionals and technology experts to examine how artificial intelligence can be responsibly integrated into kidney care.\nWhat can AI actually do in ultrasound?\nFor nephrologists, this is becoming an increasingly practical question.\nPoint-of-care ultrasound, or POCUS, can provide information directly at the bedside across several areas relevant to nephrology, including the kidneys and urinary tract, heart and lungs, vascular access, Doppler assessment and volume status.\nNew generations of ultrasound systems are now integrating AI-assisted functions designed to support image acquisition, optimize selected settings and facilitate certain measurements.\nThe objective is not to replace clinical expertise. It is to investigate whether AI can reduce some of the technical barriers to ultrasound, support physicians during image acquisition and help move more efficiently from the image to clinically useful information.\nPutting the technology into physicians’ hands\nThe September 16 program has therefore been designed around practical experience.\nParticipants will rotate through small-group workshops covering renal and bladder ultrasound, arteriovenous fistula and Doppler assessment, cardiac and pulmonary ultrasound, and clinical cases.\nRather than simply watching a demonstration, physicians will have the opportunity to take the ultrasound probe in hand, acquire images, discuss their interpretation and explore new technological capabilities directly with experts.\nThis hands-on approach reflects a broader direction for Targeting AI & Nephrology: moving beyond discussions about what artificial intelligence could do and examining what it can realistically contribute to everyday medical practice.\n“We have spent several years discussing what AI could bring to nephrology. Now we also want physicians to test these technologies themselves and ask a very simple question: does this really help us in clinical practice?” said Dr. Marvin Edeas, Université Paris Cité.\n“Ultrasound is particularly interesting because it sits directly at the interface between technology, clinical examination and immediate decision-making. AI may help make some aspects of ultrasound easier and faster, but these technologies need to be confronted with the reality of clinical practice.”\nFrom generative AI to real-world clinical applications\nTargeting AI & Nephrology has progressively explored different dimensions of artificial intelligence relevant to kidney medicine, including medical imaging, predictive approaches, transplantation, clinical data, generative AI, large language models, medical education and responsible implementation.\nThe ultrasound initiative extends this strategy into another practical field: AI-assisted medical imaging at the point of care.\nIt also reflects a wider ambition to create continuity between scientific meetings and activities conducted throughout the year.\nThe goal is to build bridges between AI research, technological innovation, physician education and real-world clinical practice.\nThe central question is therefore evolving.\nIt is no longer simply:“What can AI do?”\nIt is increasingly:“Where does AI provide genuine clinical value, and how should physicians be trained to use it?”\nFor Targeting AI & Nephrology, AI-assisted ultrasound provides a particularly relevant environment in which to explore these questions, with the technology in the physician’s hands.\n \nAbout Targeting AI & Nephrology\nTargeting AI & Nephrology is an initiative dedicated to exploring the scientific, clinical, educational and ethical implications of artificial intelligence in nephrology and healthcare.\nIts activities address emerging applications including generative AI, large language models, medical imaging, clinical data, predictive approaches, transplantation, medical education and the responsible integration of AI into clinical practice.\nThe initiative aims to connect clinicians, researchers and technology experts while promoting a practical and critical evaluation of how AI can contribute to healthcare.\nOfficial website: https://targeting-ai.com/","excerpt":"PARIS, France - September 15, 2026 - Artificial intelligence in medicine is rapidly moving beyond large language models, data analysis and prediction. 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One of its emerging applications is at the patient’s bedside, where AI can assist physicians with medical imaging and point-of-care ultrasound.\nOn September 16 in Paris, this transition from discussing AI to testing its practical applications will be explored during the third Ultrasound in Nephrology training program.\nThe initiative is part of the broader activities developed around Targeting AI & Nephrology, which brings together nephrologists, researchers, healthcare professionals and technology experts to examine how artificial intelligence can be responsibly integrated into kidney care.\nWhat can AI actually do in ultrasound?\nFor nephrologists, this is becoming an increasingly practical question.\nPoint-of-care ultrasound, or POCUS, can provide information directly at the bedside across several areas relevant to nephrology, including the kidneys and urinary tract, heart and lungs, vascular access, Doppler assessment and volume status.\nNew generations of ultrasound systems are now integrating AI-assisted functions designed to support image acquisition, optimize selected settings and facilitate certain measurements.\nThe objective is not to replace clinical expertise. 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Now we also want physicians to test these technologies themselves and ask a very simple question: does this really help us in clinical practice?” said Dr. Marvin Edeas, Université Paris Cité.\n“Ultrasound is particularly interesting because it sits directly at the interface between technology, clinical examination and immediate decision-making. AI may help make some aspects of ultrasound easier and faster, but these technologies need to be confronted with the reality of clinical practice.”\nFrom generative AI to real-world clinical applications\nTargeting AI & Nephrology has progressively explored different dimensions of artificial intelligence relevant to kidney medicine, including medical imaging, predictive approaches, transplantation, clinical data, generative AI, large language models, medical education and responsible implementation.\nThe ultrasound initiative extends this strategy into another practical field: AI-assisted medical imaging at the point of care.\nIt also reflects a wider ambition to create continuity between scientific meetings and activities conducted throughout the year.\nThe goal is to build bridges between AI research, technological innovation, physician education and real-world clinical practice.\nThe central question is therefore evolving.\nIt is no longer simply:“What can AI do?”\nIt is increasingly:“Where does AI provide genuine clinical value, and how should physicians be trained to use it?”\nFor Targeting AI & Nephrology, AI-assisted ultrasound provides a particularly relevant environment in which to explore these questions, with the technology in the physician’s hands.\n \nAbout Targeting AI & Nephrology\nTargeting AI & Nephrology is an initiative dedicated to exploring the scientific, clinical, educational and ethical implications of artificial intelligence in nephrology and healthcare.\nIts activities address emerging applications including generative AI, large language models, medical imaging, clinical data, predictive approaches, transplantation, medical education and the responsible integration of AI into clinical practice.\nThe initiative aims to connect clinicians, researchers and technology experts while promoting a practical and critical evaluation of how AI can contribute to healthcare.\nOfficial website: https://targeting-ai.com/","confidence":0.9,"diagnostics_url":"/api/diagnose?url=https%3A//www.eurekalert.org/news-releases/1144124","quality_bucket":"high","failure_kind":"none","retryable":false,"quality_reason":"High confidence: full text extraction produced 4708 characters.","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 4708 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":4708,"summary_length":294,"usable_text_length":4708,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":4708,"summary_length":294}},"tags":[]},"fallback_formats":["markdown","json","html"],"actions":{"read":"/item/83214","export_markdown":"/api/items/83214/export?format=markdown","export_json":"/api/items/83214/export?format=json","diagnose":"/api/diagnose?url=https%3A//www.eurekalert.org/news-releases/1144124"},"formats":{"full":{"id":83214,"title":"From generative AI to the ultrasound probe: Targeting AI expands its hands-on approach to nephrology - eurekalert.org","url":"https://www.eurekalert.org/news-releases/1144124","source":"eurekalert.org","author":null,"published_at":"2026-09-15T21:26:28+00:00","locale":"en","topic":"ai","tags":[],"excerpt":"PARIS, France - September 15, 2026 - Artificial intelligence in medicine is rapidly moving beyond large language models, data analysis and prediction. 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