Across three visual specialties, machines are finding abnormalities faster and remembering change over time, shifting doctors toward treatment strategy.
Read the article:
and choose the best answer (A, B or C).
1. What is the main argument of the article?
A. AI is likely to replace most doctors within the next few years.
B. AI is already changing some medical specialties by taking over certain tasks and allowing doctors to focus on more complex work.
C. Doctors are generally opposed to the introduction of AI into healthcare.
2. Why has radiology been particularly suitable for the development of AI?
A. Radiologists have traditionally had fewer patients than other doctors.
B. Radiology requires very little human judgement.
C. There is a large amount of digitized imaging data that can be used to train AI models.
3. According to the article, how could AI change the role of radiologists?
A. They could spend more time interpreting routine scans.
B. They could focus more on complex cases and decisions requiring context and clinical judgement.
C. They would mainly be responsible for maintaining AI systems.
4. What is one important advantage AI has over dermatologists when monitoring moles?
A. It can communicate with patients more effectively.
B. It can diagnose every type of skin disease without human involvement.
C. It can remember precise details and compare changes over long periods of time.
5. Why is AI particularly useful in pathology?
A. It can search huge digital slides for small clusters of abnormal cells much faster than humans.
B. It can interview patients and collect their medical histories.
C. It can decide which treatment a patient should receive without consulting a doctor.
6. What does the phrase “strategists more than detectives” suggest about the future role of pathologists?
A. They will spend less time searching for abnormalities and more time thinking about treatment and the wider clinical picture.
B. They will no longer be involved in diagnosis.
C. They will become responsible for developing AI software.
7. What concern does Nahid Y. Vidal raise about the use of AI in healthcare?
A. Doctors may become too dependent on technology.
B. AI may eventually make medical specialists unnecessary.
C. Access to AI technology may be unequal because of its cost and implementation barriers.
8. According to Rohit Chandra, what is the biggest challenge in transforming healthcare with AI?
A. Developing increasingly sophisticated technology.
B. Redesigning workflows, managing change and ensuring that people actually adopt and use the technology effectively.
C. Collecting more medical images.
9. What does Chandra mean when he says that “technology is actually the small part”?
A. Technology itself is relatively easy compared with changing the way healthcare is organized and delivered.
B. AI technology is not very important in modern medicine.
C. Doctors should focus on technology rather than patient care.
10. Which statement best reflects the article’s overall conclusion?
A. AI will make human doctors unnecessary in most visual specialties.
B. AI should be introduced as quickly as possible, regardless of its current limitations.
C. AI has the potential to make doctors’ work more efficient and effective, but successful implementation also requires changes in workflows, education and access.
Key: 1. 1B; 2C; 3B; 4C; 5A; 6A; 7C; 8B; 9A; 10C
Glossary
- scarcity – a situation in which there is not enough of something, especially something that is needed or valuable
- premises – basic ideas, beliefs, or assumptions on which something is based
- to be premised on sth – to be based on a particular idea, belief, or assumption
- to upend – to completely change or overturn something, especially an established system or idea
- acutely – very strongly or seriously; often used for something that is urgently felt or experienced
- armamentarium – a range of tools, methods, treatments, or resources available to someone, especially a doctor or professional
- to commoditize – to turn something into a standardized product or service that can be easily bought, sold, and compared mainly by price
- galvanizing – motivating or encouraging people to take action, especially suddenly or strongly
- iterations – different versions of something that are produced and improved over time
- lesion – an area of damaged or abnormal tissue in the body, often caused by disease or injury
- benign – not harmful or dangerous; in medicine, often meaning not cancerous
- chagrin – a feeling of disappointment, embarrassment, or annoyance, especially because something did not happen as expected
- aberrant – different from what is normal, expected, or usual, often in a problematic way
- inequitable – unfair; not providing equal opportunities or treatment
- obsolete – no longer useful or necessary because something newer or better exists
- to be incumbent on/upon someone – to be necessary for someone because it is their duty
Practice makes perfect
Watch this video (8:29-10:06) and fill in the gaps in the excerpt below with the missing words:
(…) The prototype is the outgrowth of this is GPT-4, with over a trillion connections. Our human brain has a hundred trillion connections or 1. …………., but one trillion, just think of all the information, knowledge that’s 2. ……….. into those one trillion. And interestingly, this is now multimodal, with language, with images, with speech, and it involves a massive amount of graphic processing units, and it’s with self-supervised 3. ……….. , which is a big 4. ……….. in medicine, because we can’t get experts to label images. This can be done with self-supervised learning.
So what does this set up in medicine? It sets up, for example, keyboard liberation, the one thing that both doctors, clinicians, and patients would like to see. Everyone hates being data 5. ……….. as clinicians, and patients would like to see their doctor when they finally have the visit they’ve waited for a long time.
So the ability to change the face-to-face context is just one step along the way by having the liberation from keyboards, with synthetic notes that are driven, derived from the conversation, and then all the downstream normal data clerk functions that are done often 6. …………. . Now we’re seeing in health systems across the United States where people, physicians are saving many hours of time and 7. ……….. towards ultimately keyboard liberation. (…)
Key: 1. parameters; 2. packed; 3. learning; 4. bottleneck; 5. clerks; 6. off-hours; 7. heading
Discuss
- What was the most surprising idea or example from the article/video? Why?
- What can AI do better than humans in these medical fields?
- What can doctors still do better than AI?
- The article suggests that AI could change doctors’ roles rather than replace them. Do you agree?
- Would you feel more comfortable being diagnosed by a doctor who uses AI or by a doctor who doesn’t?
- Imagine that an AI system and a doctor give different diagnoses. Who should have the final say?
- The article says that doctors may have more time to focus on patients and complex decisions. Could AI actually make healthcare more human?
- Would you agree that in the future, the best doctors will not be the ones who know the most, but the ones who know how to work best with AI.
Watch and Revise!
AI in Medicine
Revolutionizing, Not Replacing
https://www.cloud.worldwideschool.pl/index.php/s/jonRbCy3F5kCyqe
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