How AI can spot diseases that doctors aren't looking for

This is the sixth part of a seriesseria with six parts that shows how AI is changing medical researchzmieniające badania medyczne and treatmentsleczenie.

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This marks the sixth installmentczęść in a comprehensivewszechstronny six-part series examining the transformative impacttransformacyjny wpływ of artificial intelligence on medical research and treatment methodologiesmetodologie leczenia.

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This is the sixth featureartykuł in a six-part seriesseria składająca się z sześciu części that is looking at how AI is changing medical research and treatments.

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In 2023, 58-year-old Will Studholme found himselfznalazł się in the accident and emergency departmentoddział ratunkowy of an NHS hospital in Oxford, presenting with gastrointestinalżołądkowo-jelitowy symptoms. To his surprise, he received a diagnosis of osteoporosisosteoporoza, a condition he had not anticipated.

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When 58-year-old Will Studholme ended upskończył in accident and emergencyizba przyjęć at an NHS hospital in Oxford in 2023 with gastrointestinalżołądkowo-jelitowy symptoms, he wasn't expecting a diagnosis of osteoporosisosteoporoza.

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In 2023, Will Studholme, who is 58 years old, went to the accident and emergencyoddział ratunkowy at an NHS hospital in Oxford because he had stomach problems. He did not expect to be told he had osteoporosisosteoporoza.

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The disease, strongly associated with agesilnie związany z wiekiem, causes bones to become weak and fragilekruche, increasing the risk of fracturezwiększając ryzyko złamania.

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The condition, which is closely linked to advancing ageściśle związany z postępującym wiekiem, leads to a deterioration in bone density and strengthpogorszenie gęstości i siły kości, thereby heightening the likelihood of fractureszwiększenie prawdopodobieństwa złamań.

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This illness, which is often seen in older people, makes bones weak and breakablełamliwy, which raises the chancezwiększa szansę of breaking a bone.

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Mr. Studholme had really bad food poisoningzatrucie pokarmowe, but at the start of checking what was wrongsprawdzanie, co było nie tak, he got an abdominalbrzuszny CT scan.

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It was discovered that Mr. Studholme was suffering from a significantznaczący episode of food poisoning; however, during the initial assessmentwstępna ocena of his condition, he underwentprzeszedł an abdominal CT scan.

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It turned outokazało się that Mr Studholme had a severe case of food poisoning, but early in his ailmentdolegliwość's investigation, he received an abdominal CT scantomografia komputerowa jamy brzusznej.

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Subsequentlynastępnie, the scan was processed using advanced artificial intelligence (AI) technologyzaawansowana technologia sztucznej inteligencji (AI), which detected a collapsed vertebrazapadnięty kręg in Mr. Studholme's spine, a prevalent early signpowszechny wczesny objaw of osteoporosisosteoporoza.

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That scan was then later run throughprzeanalizować artificial intelligence (AI) technology which identified a collapsed vertebrazapadnięty kręg in Mr Studholme's spine, a common early indicatorwczesny wskaźnik of osteoporosisosteoporoza.

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After that, they used AI technology to look atspojrzeć na the scan, and it found a collapsed vertebrazapadnięty kręg in Mr. Studholme's back, which is a common early signwczesny objaw of osteoporosisosteoporoza.

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Subsequentkolejny examinations were conducted, leading to Mr. Studholme receiving not only his diagnosis but also a straightforward treatmentproste leczenie: an annual infusionwlew of a medication for osteoporosis anticipatedprzewidywany to enhance his bone density.

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Further testing ensuednastąpiło, and Mr Studholme emerged not only with his diagnosis, but a simple treatmentpojawił się nie tylko z diagnozą, ale i prostym leczeniem: an annual infusioninfuzja of an osteoporosisosteoporoza drug that is expected to improve his bone density.

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After more tests, Mr. Studholme found outdowiedział się his diagnosis and a simple treatment: he will get a yearly infusioncoroczna infuzja of a drug for osteoporosis that should help his bones get stronger.

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"I feel very lucky," says Mr Studholme, "I don't think this would have been picked upwykryte without the AI technologytechnologia."

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"I feel really lucky," Mr. Studholme says, "I don't think they would have found this without the AI technologytechnologia."

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"I consider myself quite fortunateuważam się za dość szczęśliwego," Mr. Studholme remarks, "I doubt this would have been detected without the assistance of AI technology."

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It isn't unheard ofnie jest niespotykane that a radiologist might note something incidentalzauważyć coś przypadkowego in a patient's imaging – an undetectedniewykryty tumour, a concern with a particular tissue or organ – outside of what they had originally been checking for.

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It is not uncommon for a radiologist to observe incidentalprzypadkowy findings in a patient's imaging studies—such as an undetectedniewykryty tumor or issues related to specific tissues or organs—that were not the primary focusgłówny cel of the examination.

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Sometimes, a radiologistradiolog might see something unexpected in a patient's scans, like a hidden tumorukryty guz or a problem with a certain tissue or organpewna tkanka lub organ, that they weren't looking forszukać at first.

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But applying AI in the backgroundw tle to systematicallysystematycznie comb throughprzeszukiwać scans and automatically identify early signswczesne oznaki of common preventablemożliwy do zapobieżenia chronic diseases that might be brewing – regardless of the reason the scan was originally ordered – is new.

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Using AI to look throughprzeglądać scans and find early signs of common diseases that can be preventedzapobiegane—no matter why the scan was done in the first placena samym początku—is something new.

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The implementation of artificial intelligence to meticulouslyskrupulatnie analyze imaging scans and autonomouslyautonomicznie detect nascentpowstający indicators of prevalent, preventable chronic ailmentsdolegliwości—irrespective ofbez względu na the initial purpose for which the scan was commissioned—represents a novel advancementnowatorski postęp in the field.

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Using AI for opportunistic screeningoportunistyczne badanie przesiewowe or imaging is just starting, says Perry Pickhardt, a professor at the University of Wisconsin-Madison, who helps create the algorithms.

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The clinical use of AI for opportunistic screeningoportunistyczne badanie przesiewowe or opportunistic imagingoportunistyczne obrazowanie, as it is called, "is just beginning" notes Perry Pickhardt, a professor of radiology and medical physics at the University of Wisconsin-Madison, who is among those developing the algorithmsalgorytmy.

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The application of artificial intelligence in the realm of opportunistic screeningdziedzina oportunistycznego badania przesiewowego, or opportunisticoportunistyczny imaging as it is referred to, is in its nascentpoczątkowy stages, as observed by Perry Pickhardt, a distinguishedwybitny professor of radiology and medical physics at the University of Wisconsin-Madison, who is actively engaged in the developmentaktywnie zaangażowany w rozwój of the underlying algorithms.

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It is considered opportunisticoportunistyczny because it takes advantage ofwykorzystuje imaging that has already been done for another clinical purposecel kliniczny – be it suspected cancer, chest infection, appendicitis or belly pain.

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It is called opportunisticoportunistyczny because it uses images that were already taken for other medical reasonsinne powody medyczne, like possible cancer, lung infection, appendicitiszapalenie wyrostka robaczkowego, or stomach pain.

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It is deemed opportunisticoportunistyczny as it capitalizes onwykorzystuje imaging that has previously been conducted for an alternative clinical objectivealternatywny cel kliniczny, whether it pertains to suspected malignanciesnowotwory złośliwe, pulmonarypłucny infections, appendicitis, or abdominal discomfort.

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It has the potential to catchpotencjał do wykrycia previously undiagnosedniediagnozowany diseases in the early stages, before onsetpoczątek of symptoms, when they are easier to treat or prevent from progressingzapobiec postępowi. "We can avoid a lot of the lack of prevention that we have missed out onprzegapić previously," says Prof Pickhardt.

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It can find diseases that haven't been diagnosedzdiagnozowany yet in the early stageswczesne etapy, before symptoms show uppojawiać się, making them easier to treat or stop from getting worse. "We can avoid a lot of the prevention we missed before," says Prof Pickhardt.

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It possesses the capacity to identify previously unrecognized ailments at their nascentpoczątkowy stages, prior to the manifestation of symptomspojawienie się objawów, thereby facilitating more effective treatment or prevention of disease progression. "We can circumventobejść much of the preventive oversightprewencyjne niedopatrzenie that has historically eludedunikały us," asserts Professor Pickhardt.

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Regular check-upsbadania kontrolne or blood tests often miss these diseases, he says.

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Regular physicalsbadania lekarskie or blood tests often fail to pick upwykryć these diseases, he adds.

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Routine physical examinationsbadania fizyczne or blood analysesanalizy frequently overlookprzeoczyć these illnesses, he further remarks.

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Miriam Bredella, a radiologistradiolog at NYU Langone who is also engaged in the developmentzaangażowana w rozwój of algorithmsalgorytmy in this domain, observes that there exists a substantial amount of dataznaczna ilość danych within CT scans pertaining to bodily tissues and organsdotyczące tkanek i organów ciała that remains largely untappedniewykorzystany.

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Najtrudniejsze słówka:

radiologist - radiolog