| 1 |
What is the primary function of AI in the medical imaging industry?
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To improve diagnostic accuracy and patient outcomes |
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The review explains that AI systems in radiology “interpret medical images to generate diagnostic recommendations and personalised treatment plans” “acting as a second medical opinion” and, by doing so, “ human error which threatened to compromise the quality of care” |
Under the second-reader model, AI works beside the radiologist andboosting in diagnostic accuracy without replacing human judgement |
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| 2 |
Which of the following is a key benefit of AI in radiology noted in the article?
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Acts as a second medical opinion |
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The article says AI systems “interpret medical images to generate diagnostic recommendations … which act as a second medical opinion” for radiologists |
under the human–AI teaming model, the algorithm is a second reader that complements, not replaced, clinical judgment,and aligned with quality-of-care goals in modern radiological. |
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| 3 |
What does AI literacy refer to according to the article?
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Understanding and knowledge of AI technology |
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cross-checked, the review later stresses that raising acceptability will need “human-centred AI systems” that suit users with different degrees of AI literacy and also again treating literacy as a cognitive competency, not a repair skill or legal-finance topic, anf other choice fall away were cut off, fixing hardware, tracing history, writing law, or handling budgets are never listed as parts of literacy in the text. |
The article’s own table define AI literacy as “the level in understanding and knowledge that healthcare professionals have concerning AI, as reflected by their education, training, and experience” |
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| 4 |
Which factor is NOT listed as influencing the acceptability of AI among healthcare professionals?
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The color of the AI machines |
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The scoping review maps out many drivers of acceptability such as trust in the system, smooth workflow integration, user system understanding, and their technology receptiveness all appear in its factor table and discussion. |
All these theories focus on human factors like on trust, usefulness, ease-of-use, social norms vice versa not in paintwork. Therefore colour of the machine is absent because it has no place in the constructs these models measure. |
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| 5 |
What role does social influence play in AI acceptability in healthcare according to the article?
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Affects healthcare professionals’ decisions to use AI |
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Social influence here is simply how strongly clinicians feel that the bosses and peers who matter expect them to use the AI. If a senior radiologist says “give it a go,” juniors follow; if colleagues frown, uptake drops. That pressure shapes their intention and, in turn, their actual use,so it clearly affects clinicians’ decisions |
The article roots social influence in the same theories that most digital-health research uses. In the Technology Acceptance Model family it is called the subjective norm; in UTAUT it keeps the name social influence and statistically predicts a clinician’s behavioural intention to adopt a tool |
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| 6 |
What is a perceived threat regarding AI usage in healthcare settings?
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Concerns about replacing healthcare professionals |
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The article defines perceived threat as the extent to which clinicians feel that AI might “threaten their professional role … rather than empower them”That wording points straight to worries of job replacement, not to IT workload, clinic space, or patient-contact time, so option 2 matches the paper’s own description. |
Within acceptance models such as UTAUT and the NASSS framework, a perceived threat to professional identity acts as a socio-organisational barrier that lowers behavioural intention to adopt new technology; the review stated this “looming threat that will replace users” as a key determinant of low acceptability |
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| 7 |
According to the article, what is essential for increasing AI acceptability among medical professionals?
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Designing human-centred AI systems |
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The paper says acceptability “depends on human-centred design” that fits users’ workflows and literacy; high algorithmic performance alone is insufficient. |
Matches TAM/UTAUT that better effort expectancy and social fit raise behavioural intention to adopt AI. |
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| 8 |
What does the 'system usage' category of AI acceptability factors include according to the article?
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Factors like value proposition and integration with workflows |
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The article defines the system usage category as user and system interaction issues with specifically “value proposition, self-efficacy, burden, and workflow integration” |
In acceptance models such as TAM/UTAUT these map to core constructs like perceived on usefulness (value proposition) and effort expectancy (workflow fit) that drive behavioural intention to adopt AI |
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| 9 |
How does ethicality impact AI acceptability among healthcare professionals?
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Affects views on AI based on compatibility with professional values |
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The article defines ethicality as how well an AI tool “fits with the value system” of clinicians,such as keeping patient data private and upholding medical ethics. If this fit feels wrong, doctors hesitate to use the system; if it feels right, acceptance rises |
In adoption models (e.g., Diffusion of Innovations), ethicality lines up with the compatibility construct: technology accepted faster when it matches users’ norms and professional duty |
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| 10 |
What methodological approach did the article emphasize for future AI acceptability studies?
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Considering user experience and system integration deeply |
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he paper urges future acceptability work to “take a user-centred, sociotechnical lens that examines day to day workflow fit, usability, and integration issues,” not just costs or speed. |
This echoes NASSS and UTAUT frameworks, where effort expectancy, workflow compatibility, and facilitating conditions drive adoption intent. |
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| 11 |
What is the primary objective of using human embryonic stem cells in treating Parkinson’s disease?
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To replace lost dopamine neurons. |
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PD is an abnormal in deep brain are in striatum region that innervated thir axon onto putamen,which degradation of DA neuron leads to lack of dopamine.To recovering allign with hESC is to replaced a lost dopaminergic neuron into the patient |
based on concept of what pakinson pathophysiology and methodology of this research |
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| 12 |
Which animal was used to test the STEM-PD product for safety and efficacy?
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Rats |
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in the principle of GLP that study in immunodeeficient nude rat to avoid a reject in immune mechanism,for investigated on transplantation into a brain of rats |
based on papers methodology and GLP principle |
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| 13 |
What was the duration of the preclinical safety study in rats mentioned in the article?
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9 months |
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that 39-week period is the full window they used to watch for adverse events such body-weight drop, ectopic biodistribution, Ki67-positive proliferation, on this duration represents the official pre-clinical safety timeline. None of the other time points (4 wk or 26 wk interim kills) cover the whole study, so “9 months” best fits the options given. |
In the GLP safety section the authors write that they carried out a “39-week toxicity, tumorigenicity, and biodistribution study” in immunodeficient nude rats. A calendar year is 52 weeks, so 39 weeks works out to a bit over ¾ year, which is roughly 9 months. |
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| 14 |
What is the name of the clinical trial phase mentioned for STEM-PD?
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Phase I/IIa |
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i have zoomed in on that sentence because it sits in the paragraph where they link their pre-clinical rat and minipig data to the planned human work. exactly the spot you would expect the official trial phase to be named. Since “Phase I/IIa” combines a classical safety phase (Phase I) with an early efficacy read-out (the ‘IIa’ half), none of the other single-phase choices (pure I, II, III, IV) match what the authors report. |
The article writes that the STEM-PD study now giving cells to patients is a “single-arm, first-in-human, phase I/IIa multicenter dose-escalation trial” |
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| 15 |
How is the STEM-PD product manufactured?
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Under GMP-compliant conditions |
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this is what a papers had stated on the methodology which under the ethics committee |
based on what a papers had stated on the methodology which under the ethics committee and have acceptance among many researcher |
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| 16 |
According to the article, what confirmed the safety of the STEM-PD product in rats?
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There were no adverse effects or tumor formation. |
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this transplantation must concern over side effect and tumority formation,not increase of tumor,biodistribution outside are of interest,served on immune effect or failled on efficacy |
based on methodology that have a process in checking a quality before run a next protocols,the authors have to check they are no tomors,not on tumor formation or immunity side effect. |
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| 17 |
What key finding was noted in the efficacy study of STEM-PD in rats?
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Transplanted cells reversed motor deficits in rats. |
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After the team injected about 300 k STEM-PD ventral-midbrain cells into one side of the Parkinson rats’ striatum,Fourteen of 16 rats hit the “recovered” line, and brain slices lit up with TH-positive |
In the unilateral 6-OHDA Parkinson-rat model, transplanting 300 000 STEM-PD ventral-midbrain progenitors into the denervated striatum slashed the amphetamine-induced rotation rate from ~9 turns min⁻¹ before surgery to −0.54 turns min⁻¹ at 24 weeks; 14 of 16 graft-bearing animals fell below the 2 turns min⁻¹ recovery cut-off, and histology showed TH⁺ A9-like dopaminergic neurons in the graft, together proving the cells reversed the motor deficit .
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| 18 |
What specific markers were used to assess the purity of the STEM-PD batch?
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FOXA2 and OTX2 |
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this is show of to check on table 1 in page 6 of the papers, on what we use on flow cytometry to check a purity |
both FOXA2 and OTX2 are indicator of they are already developed into a fully state such as Dopaminergic neuron,cause they are transciption factors which expressed during a neuron was in a stage or ventral midbrain dopaminergic neuron which located in midbrain not forebrain or hindbrain |
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| 19 |
What role do growth factors like FGF8b and SHH play in the manufacturing process of STEM-PD?
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They are used in cell patterning for specific neural fates. |
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These factors don’t keep the cells pluripotent, kill them, or stop differentiation. Instead, they act like GPS signals, telling the neural progenitors exactly where in the brain they should mimic. That precise regional identity is critical for getting functional dopamine neurons later. So “cell patterning for specific neural fates” best matches what FGF8b and SHH actually do |
SHH (Sonic Hedgehog) on days 0-9 “ventralizes” the tissue, so the cells switch on ventral midbrain (VM) genes.and on day 9 they spike in FGF8b, a growth factor made at the midbrain-hindbrain border, to “fine-tune” the culture toward a caudal VM fate that arethe same zone that normally gives rise to A9 dopaminergic progenitors that Parkinson’s patients need. |
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| 20 |
What was a key outcome measured in the preclinical trials for efficacy in rats?
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Recovery of motor function |
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The study never reports new learning tasks or life-span data, and brain volume wasn’t the main output. So “Recovery of motor function” best matches the outcome they actually measured |
In the efficacy part the authors transplanted STEM-PD into 6-OHDA-lesioned rats, In a classic Parkinson model that spins in one direction after amphetamine. They write that the grafts “reverse amphetamine-induced rotations” and give the numbers: about 9 turns /min before surgery that are -0.5 turns /min at 24 weeks (p < 0.0001) . Its drop in rotations is a direct read-out of better motor asymmetry, so the key endpoint is clearly functional recovery of movement, not anxiety, cognition, lifespan, or brain size. |
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