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  • 2 days ago
Villejuif (France): At France's Gustave Roussy Institute, artificial intelligence is increasingly being used to assist radiologists in analysing mammograms, offering faster and more detailed detection of suspicious areas. The AI system highlights potential anomalies almost instantly, acting as a "second look" to reduce the risk of missed signs of cancer.However, experts stress that AI is not a replacement for doctors. Radiologist Corinne Balleyguier explains that while the technology is highly sensitive, it can generate many false positives, making human interpretation essential. Reviewing AI results can sometimes even increase reading time.Professor Nathalie Lassau of the French Society of Radiology says AI's strength lies in processing vast amounts of data, supporting a more holistic view of patients. She reassures that the final diagnosis and responsibility remain firmly in human hands.

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00:00artificial intelligence is now helping doctors read mammograms at France Institute the system
00:09quickly highlights areas that may look suspicious doctors say AI works like a second set of eyes
00:16it helps make sure nothing important is missed but AI can also show problems that are not really
00:24there that is why human reading is still needed it serves a little bit of a second regard to be sure
00:32that we are not going to be close to an anomaly it is very sensitive but it can make a lot of
00:38positives so that's why the reading of a radiologist is very important because we are going to remove
00:46the positives from artificial intelligence tools radiologists carefully check the scans and then
00:53review the AI results experts say AI does not replace doctors it supports them mais en gros si on se
01:04fiat complètement à l'IA sans lecture humaine on ferait vraiment des grosses erreurs diagnostiques par
01:09exemple ces logiciels là en fait ils sont ils ont été entraînés avec des bases de données où ils
01:14sont dédiés pour détecter des anomalies subtiles ce qui est logique et donc un logiciel d'IA peut louper
01:20un cancer de 5 cm que normalement un radiologue doit pas louper globalement je pense que les patients
01:26et il y a eu aussi quelques études là dessus se sentent quand même assez rassurés que derrière ce soit un
01:33radiologue et qui soit bien habilité disons qui derrière fait la validation finale quoi
01:40by analyzing large amounts of data AI helps doctors be more accurate and consistent in cancer cure the final
01:50decision is always made by a trained radiologist
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