Questões de Vestibular UEG 2019 para Vestibular - Medicina - Inglês
Foram encontradas 60 questões
Q1300890
Inglês
Texto associado
Leia o texto a seguir para responder à questão.
Artificial intelligence and the future of medicine
Washington University researchers are working to develop artificial intelligence (AI) systems for health care, which
have the potential to transform the diagnosis and treatment of diseases, helping to ensure that patients get the
right treatment at the right time.
In health care, artificial intelligence relies on the power of computers to sift through and make sense of reams of
electronic data about patients—such as their ages, medical histories, health status, test results, medical images,
DNA sequences, and many other sources of health information. AI excels at the complex identification of patterns
in these reams of data, and it can do this at a scale and speed beyond human capacity. The hope is that this
technology can be harnessed to help doctors and patients make better health-care decisions.
Where are the first places we will start to see AI entering medical practice?
One of the first applications of AI in patient care that we currently see is in imaging, to help improve the diagnosis
of cancer or heart problems, for example. There are many types of imaging tests —X-rays, CT scans, MRIs and
echocardiograms. But the underlying commonality in all those imaging methods is huge amounts of high-quality
data. For AI to work well, it's best to have very complete data sets—no missing numbers, so to speak—and digital
images provide that. Plus, the human eye is often blind to some of the patterns that could be present in these
images—subtle changes in breast tissue over several years of mammograms, for example. There has been some
interesting work done in recognizing early patterns of cancer or early patterns of heart failure that even a highly
trained physician would not see.
In many ways, we already have very simple forms of AI in the clinic now. We've had tools for a long time that
identify abnormal rhythms in an EKG, for example. An abnormal heartbeat pattern triggers an alert to draw a
clinician's attention. This is a computer trying to replicate a human being understanding that data and saying,
"This doesn't look normal, you may need to address this problem." Now, we have the capacity to analyze much
larger and more complex sources of data, such as the entire electronic health record and perhaps even data
pulled from daily life, as more people track their sleep patterns or pulse rates with wearable devices, for example.
What effect will this have on how doctors practice medicine?
It's important to emphasize that these tools are never going to replace clinicians. These technologies will provide
assistance, helping care providers see important signals in massive amounts of data that would otherwise remain
hidden. But at the same time, there are levels of understanding that computers still can't and may never replicate.
To take a treatment recommendation from an AI, even an excellent recommendation, and decide if it's right for the
patient is inherently a human decision-making process. What are the patient's preferences? What are the patient's
values? What does this mean for the patient's life and for his or her family? That's never going to be an AI
function. As these AI systems slowly emerge, we may start to see the roles of physicians changing—in my
opinion, in better ways. Doctors' roles may shift from being data collectors and analyzers to being interpreters and
councilors for patients as they try to navigate their health.
Right now, the challenges we need to address as we try to bring AI into medical practice include improving the quality of the data that we feed into AI systems, developing ways to evaluate whether an AI system is actually better than standard of care, ensuring patient privacy and making sure not only that AI doesn't disrupt clinical work flow but in fact improves it. But if doctors do their jobs right and build these systems well, much of what we have described will become so ingrained in the system, people won't even refer to it separately as informatics or AI. It will just be medicine.
Right now, the challenges we need to address as we try to bring AI into medical practice include improving the quality of the data that we feed into AI systems, developing ways to evaluate whether an AI system is actually better than standard of care, ensuring patient privacy and making sure not only that AI doesn't disrupt clinical work flow but in fact improves it. But if doctors do their jobs right and build these systems well, much of what we have described will become so ingrained in the system, people won't even refer to it separately as informatics or AI. It will just be medicine.
Disponível em: https://medicalxpress.com/news/2018-12-artificial-intelligence-future-medicine.html. Acesso em: 02 maio 2019.
Considering the ideas expressed in the text, artificial intelligence (AI) systems
Q1300891
Inglês
Texto associado
Leia o texto a seguir para responder à questão.
Artificial intelligence and the future of medicine
Washington University researchers are working to develop artificial intelligence (AI) systems for health care, which
have the potential to transform the diagnosis and treatment of diseases, helping to ensure that patients get the
right treatment at the right time.
In health care, artificial intelligence relies on the power of computers to sift through and make sense of reams of
electronic data about patients—such as their ages, medical histories, health status, test results, medical images,
DNA sequences, and many other sources of health information. AI excels at the complex identification of patterns
in these reams of data, and it can do this at a scale and speed beyond human capacity. The hope is that this
technology can be harnessed to help doctors and patients make better health-care decisions.
Where are the first places we will start to see AI entering medical practice?
One of the first applications of AI in patient care that we currently see is in imaging, to help improve the diagnosis
of cancer or heart problems, for example. There are many types of imaging tests —X-rays, CT scans, MRIs and
echocardiograms. But the underlying commonality in all those imaging methods is huge amounts of high-quality
data. For AI to work well, it's best to have very complete data sets—no missing numbers, so to speak—and digital
images provide that. Plus, the human eye is often blind to some of the patterns that could be present in these
images—subtle changes in breast tissue over several years of mammograms, for example. There has been some
interesting work done in recognizing early patterns of cancer or early patterns of heart failure that even a highly
trained physician would not see.
In many ways, we already have very simple forms of AI in the clinic now. We've had tools for a long time that
identify abnormal rhythms in an EKG, for example. An abnormal heartbeat pattern triggers an alert to draw a
clinician's attention. This is a computer trying to replicate a human being understanding that data and saying,
"This doesn't look normal, you may need to address this problem." Now, we have the capacity to analyze much
larger and more complex sources of data, such as the entire electronic health record and perhaps even data
pulled from daily life, as more people track their sleep patterns or pulse rates with wearable devices, for example.
What effect will this have on how doctors practice medicine?
It's important to emphasize that these tools are never going to replace clinicians. These technologies will provide
assistance, helping care providers see important signals in massive amounts of data that would otherwise remain
hidden. But at the same time, there are levels of understanding that computers still can't and may never replicate.
To take a treatment recommendation from an AI, even an excellent recommendation, and decide if it's right for the
patient is inherently a human decision-making process. What are the patient's preferences? What are the patient's
values? What does this mean for the patient's life and for his or her family? That's never going to be an AI
function. As these AI systems slowly emerge, we may start to see the roles of physicians changing—in my
opinion, in better ways. Doctors' roles may shift from being data collectors and analyzers to being interpreters and
councilors for patients as they try to navigate their health.
Right now, the challenges we need to address as we try to bring AI into medical practice include improving the quality of the data that we feed into AI systems, developing ways to evaluate whether an AI system is actually better than standard of care, ensuring patient privacy and making sure not only that AI doesn't disrupt clinical work flow but in fact improves it. But if doctors do their jobs right and build these systems well, much of what we have described will become so ingrained in the system, people won't even refer to it separately as informatics or AI. It will just be medicine.
Right now, the challenges we need to address as we try to bring AI into medical practice include improving the quality of the data that we feed into AI systems, developing ways to evaluate whether an AI system is actually better than standard of care, ensuring patient privacy and making sure not only that AI doesn't disrupt clinical work flow but in fact improves it. But if doctors do their jobs right and build these systems well, much of what we have described will become so ingrained in the system, people won't even refer to it separately as informatics or AI. It will just be medicine.
Disponível em: https://medicalxpress.com/news/2018-12-artificial-intelligence-future-medicine.html. Acesso em: 02 maio 2019.
Analisando-se os aspectos linguísticos e estruturais do texto, constata-se que
Q1300892
Inglês
Texto associado
Leia o texto a seguir para responder à questão.
Artificial intelligence and the future of medicine
Washington University researchers are working to develop artificial intelligence (AI) systems for health care, which
have the potential to transform the diagnosis and treatment of diseases, helping to ensure that patients get the
right treatment at the right time.
In health care, artificial intelligence relies on the power of computers to sift through and make sense of reams of
electronic data about patients—such as their ages, medical histories, health status, test results, medical images,
DNA sequences, and many other sources of health information. AI excels at the complex identification of patterns
in these reams of data, and it can do this at a scale and speed beyond human capacity. The hope is that this
technology can be harnessed to help doctors and patients make better health-care decisions.
Where are the first places we will start to see AI entering medical practice?
One of the first applications of AI in patient care that we currently see is in imaging, to help improve the diagnosis
of cancer or heart problems, for example. There are many types of imaging tests —X-rays, CT scans, MRIs and
echocardiograms. But the underlying commonality in all those imaging methods is huge amounts of high-quality
data. For AI to work well, it's best to have very complete data sets—no missing numbers, so to speak—and digital
images provide that. Plus, the human eye is often blind to some of the patterns that could be present in these
images—subtle changes in breast tissue over several years of mammograms, for example. There has been some
interesting work done in recognizing early patterns of cancer or early patterns of heart failure that even a highly
trained physician would not see.
In many ways, we already have very simple forms of AI in the clinic now. We've had tools for a long time that
identify abnormal rhythms in an EKG, for example. An abnormal heartbeat pattern triggers an alert to draw a
clinician's attention. This is a computer trying to replicate a human being understanding that data and saying,
"This doesn't look normal, you may need to address this problem." Now, we have the capacity to analyze much
larger and more complex sources of data, such as the entire electronic health record and perhaps even data
pulled from daily life, as more people track their sleep patterns or pulse rates with wearable devices, for example.
What effect will this have on how doctors practice medicine?
It's important to emphasize that these tools are never going to replace clinicians. These technologies will provide
assistance, helping care providers see important signals in massive amounts of data that would otherwise remain
hidden. But at the same time, there are levels of understanding that computers still can't and may never replicate.
To take a treatment recommendation from an AI, even an excellent recommendation, and decide if it's right for the
patient is inherently a human decision-making process. What are the patient's preferences? What are the patient's
values? What does this mean for the patient's life and for his or her family? That's never going to be an AI
function. As these AI systems slowly emerge, we may start to see the roles of physicians changing—in my
opinion, in better ways. Doctors' roles may shift from being data collectors and analyzers to being interpreters and
councilors for patients as they try to navigate their health.
Right now, the challenges we need to address as we try to bring AI into medical practice include improving the quality of the data that we feed into AI systems, developing ways to evaluate whether an AI system is actually better than standard of care, ensuring patient privacy and making sure not only that AI doesn't disrupt clinical work flow but in fact improves it. But if doctors do their jobs right and build these systems well, much of what we have described will become so ingrained in the system, people won't even refer to it separately as informatics or AI. It will just be medicine.
Right now, the challenges we need to address as we try to bring AI into medical practice include improving the quality of the data that we feed into AI systems, developing ways to evaluate whether an AI system is actually better than standard of care, ensuring patient privacy and making sure not only that AI doesn't disrupt clinical work flow but in fact improves it. But if doctors do their jobs right and build these systems well, much of what we have described will become so ingrained in the system, people won't even refer to it separately as informatics or AI. It will just be medicine.
Disponível em: https://medicalxpress.com/news/2018-12-artificial-intelligence-future-medicine.html. Acesso em: 02 maio 2019.
De acordo com o texto, em termos de sentido, verifica-se que o trecho
Q1300893
Inglês
Texto associado
Disponível em: https://www.who.int/mediacentre/events/2015/world-antibiotic-awareness-week/infographics/en/. Acesso em: 02 maio 2019.
Considering the linguistics aspects presented in the infographic, we verify that
Q1300894
Inglês
Texto associado
Disponível em: https://www.who.int/mediacentre/events/2015/world-antibiotic-awareness-week/infographics/en/. Acesso em: 02 maio 2019.
Considerando-se os elementos de escritura e forma da língua inglesa, constata-se que
Q1300895
Português
Observe os quadrinhos a seguir.
Disponível em: http://psicologia-e-familia.blogspot.com/2012/04/charges-tirinhas-e-cartoons.html. Acesso em: 31 out. 2019.
O sentido dos quadrinhos, e seu consequente efeito cômico, são obtidos a partir do uso
Disponível em: http://psicologia-e-familia.blogspot.com/2012/04/charges-tirinhas-e-cartoons.html. Acesso em: 31 out. 2019.
O sentido dos quadrinhos, e seu consequente efeito cômico, são obtidos a partir do uso
Q1300896
Português
Texto associado
Leia o texto a seguir para responder à questão.
Freud, no texto apresentado, constrói sua argumentação de modo
Q1300897
Português
Texto associado
Leia o texto a seguir para responder à questão.
De acordo com o texto, é ideia defendida por Freud:
Q1300898
Português
Texto associado
Leia o texto a seguir para responder à questão.
Se o período “Apesar de haver objeções em contrário, é forçoso admitir que o papel desempenhado na causação
dos sonhos pelas excitações sensoriais objetivas durante o sono permanece indiscutível.” (linhas 1-2), for
transformado sintaticamente em uma construção adversativa, o resultado será o seguinte:
Q1300899
Português
Texto associado
Leia o texto a seguir para responder à questão.
No trecho “E se, por sua natureza e frequência, esses estímulos parecem insuficientes para explicar todas as
imagens oníricas, somos incentivados a buscar outras fontes de sonhos análogas a eles em seu funcionamento”
(linhas 2-4), o autor estabelece uma
Q1300900
Português
Texto associado
Leia o poema a seguir para responder à questão.
Em termos de conteúdo, o excerto poético apresentado é configurado por uma referência a elementos
Q1300901
Português
Texto associado
Leia o poema a seguir para responder à questão.
Quanto à forma, o fragmento citado apresenta versos
Q1300902
Português
Texto associado
Leia o poema a seguir para responder à questão.
Embora pertença ao gênero lírico, o excerto poético apresentado comporta características do gênero
Q1300903
Português
Texto associado
Observe a performance artística e leia o poema a seguir para responder àsquestão.
SCHWARZKOGLER, Rudolf . Repost (s.d.). Disponível em: https://www.jornale.com.br/single-post/2017/10/19/Repost-RudolfSchwarzkogler-limites-do-corpo-ao-pulo-para-morte---Blog-Quimera.
Acesso em: 26 abr. 2019.
Teu corpo claro e perfeito,
– Teu corpo de maravilha,
Quero possuí-lo no leito
Estreito da redondilha...
Teu corpo é tudo o que cheira...
Rosa... flor de laranjeira...
Teu corpo, branco e macio,
É como um véu de noivado...
Teu corpo é pomo doirado...
Rosal queimado do estio,
Desfalecido em perfume...
Teu corpo é a brasa do lume...
Teu corpo é chama e flameja
Como à tarde os horizontes...
Como nas fontes
A água clara que serpeja,
Quem em antigas se derrama...
Volúpia da água e da chama...
A todo o momento o vejo...
Teu corpo... a única ilha
No oceano do meu desejo...
Teu corpo é tudo o que brilha,
Teu corpo é tudo o que cheira...
Rosa, flor de laranjeira...
BANDEIRA, Manuel. Poemeto erótico. In: Manuel Bandeira: poesia completa e prosa. 4. ed. Rio de Janeiro: Nova Aguilar,
1985. p.156.
A performance artística apresentada se constrói por meio de um trabalho estético com o corpo, denominado body
art, ao passo que o poema exibe uma conotação
Q1300904
Português
Texto associado
Observe a performance artística e leia o poema a seguir para responder àsquestão.
SCHWARZKOGLER, Rudolf . Repost (s.d.). Disponível em: https://www.jornale.com.br/single-post/2017/10/19/Repost-RudolfSchwarzkogler-limites-do-corpo-ao-pulo-para-morte---Blog-Quimera.
Acesso em: 26 abr. 2019.
Teu corpo claro e perfeito,
– Teu corpo de maravilha,
Quero possuí-lo no leito
Estreito da redondilha...
Teu corpo é tudo o que cheira...
Rosa... flor de laranjeira...
Teu corpo, branco e macio,
É como um véu de noivado...
Teu corpo é pomo doirado...
Rosal queimado do estio,
Desfalecido em perfume...
Teu corpo é a brasa do lume...
Teu corpo é chama e flameja
Como à tarde os horizontes...
Como nas fontes
A água clara que serpeja,
Quem em antigas se derrama...
Volúpia da água e da chama...
A todo o momento o vejo...
Teu corpo... a única ilha
No oceano do meu desejo...
Teu corpo é tudo o que brilha,
Teu corpo é tudo o que cheira...
Rosa, flor de laranjeira...
BANDEIRA, Manuel. Poemeto erótico. In: Manuel Bandeira: poesia completa e prosa. 4. ed. Rio de Janeiro: Nova Aguilar,
1985. p.156.
Em relação ao tema de que trata o poema – o corpo –, a performance artística é configurada mediante um
processo
Q1300905
Português
Texto associado
Observe a performance artística e leia o poema a seguir para responder àsquestão.
SCHWARZKOGLER, Rudolf . Repost (s.d.). Disponível em: https://www.jornale.com.br/single-post/2017/10/19/Repost-RudolfSchwarzkogler-limites-do-corpo-ao-pulo-para-morte---Blog-Quimera.
Acesso em: 26 abr. 2019.
Teu corpo claro e perfeito,
– Teu corpo de maravilha,
Quero possuí-lo no leito
Estreito da redondilha...
Teu corpo é tudo o que cheira...
Rosa... flor de laranjeira...
Teu corpo, branco e macio,
É como um véu de noivado...
Teu corpo é pomo doirado...
Rosal queimado do estio,
Desfalecido em perfume...
Teu corpo é a brasa do lume...
Teu corpo é chama e flameja
Como à tarde os horizontes...
Como nas fontes
A água clara que serpeja,
Quem em antigas se derrama...
Volúpia da água e da chama...
A todo o momento o vejo...
Teu corpo... a única ilha
No oceano do meu desejo...
Teu corpo é tudo o que brilha,
Teu corpo é tudo o que cheira...
Rosa, flor de laranjeira...
BANDEIRA, Manuel. Poemeto erótico. In: Manuel Bandeira: poesia completa e prosa. 4. ed. Rio de Janeiro: Nova Aguilar,
1985. p.156.
Tanto a performance quanto o poema apresentados
Q1300906
Português
Texto associado
Leia o fragmento e observe a imagem a seguir para responder à questão.
A estrada era mais bonita que o Rio de Janeiro, e subia muito. Mocinha sentou-se numa pedra que havia junto
de uma árvore, para poder apreciar. O céu estava altíssimo, sem nenhuma nuvem. E tinha muito passarinho que
voava do abismo para a estrada. A estrada branca de sol se estendia sobre um abismo verde. Então, como
estava cansada, a velha encostou a cabeça no tronco da árvore e morreu.
LISPECTOR, Clarice. Viagem a Petrópolis. In: A legião estrangeira. Rio de Janeiro: Rocco, 1999. p. 51.
DA VINCI, Leonardo. Anatomia – Desenho de feto no útero. Disponível em: https://www.ebay.com/itm/Da-Vinci-Anatomy-Drawings-Fetus-in-Utero-Art-Print-
/191954119588?_ul=BR. Acesso em: 26 abr. 2019.
Instaura-se, entre o fragmento e o desenho apresentados, um diálogo pautado por
Q1300907
Português
Texto associado
Leia o fragmento e observe a imagem a seguir para responder à questão.
A estrada era mais bonita que o Rio de Janeiro, e subia muito. Mocinha sentou-se numa pedra que havia junto
de uma árvore, para poder apreciar. O céu estava altíssimo, sem nenhuma nuvem. E tinha muito passarinho que
voava do abismo para a estrada. A estrada branca de sol se estendia sobre um abismo verde. Então, como
estava cansada, a velha encostou a cabeça no tronco da árvore e morreu.
LISPECTOR, Clarice. Viagem a Petrópolis. In: A legião estrangeira. Rio de Janeiro: Rocco, 1999. p. 51.
DA VINCI, Leonardo. Anatomia – Desenho de feto no útero. Disponível em: https://www.ebay.com/itm/Da-Vinci-Anatomy-Drawings-Fetus-in-Utero-Art-Print-
/191954119588?_ul=BR. Acesso em: 26 abr. 2019.
O fragmento pertence ao Modernismo brasileiro, ao passo que o desenho se filia ao Renascimento, pois
Q1300908
Matemática
Sejam (a1, a2, a3,...) uma progressão aritmética de razão r = 3 e (b1, b2, b3,...) uma progressão geométrica de
razão q = r²
– 7 e, ainda, b1 = a1 + 2, b2 = a2 + 1 e b3 = a3 + 2. A soma dos 7 primeiros termos dessa progressão
geométrica é:
Q1300909
Matemática
Um banco oferece um investimento a juros simples, em que o cliente aplica R$ 10.000,00 e após seis anos
recebe R$ 15.040,00. A taxa de juros mensal desse investimento é de:
Conheça nossos planos