| 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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Artificial intelligence (AI) technology has the potential to transform medical practice within the medical imaging industry and materially improve productivity and patient outcomes. |
Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine |
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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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Reduces the speed of diagnosing |
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AI in radiology harnesses the power of machine learning (ML) and deep learning algorithms to process vast amounts of imaging data and identify abnormalities that may be difficult to detect with the human eye. |
Discover benefits of artificial intelligence in radiology |
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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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| 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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All the studies investigated AI acceptability in some capacity although their specific research aim and design varied. 24 studies sought to examine the willingness of healthcare professionals to accept the adoption of AI into medical practice |
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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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As investment into AI for healthcare increases, it would be valuable to conduct a systematic review and meta-analysis of the causal contribution of these factors to achieving high levels of AI acceptability among medical professionals |
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| 6 |
What is a perceived threat regarding AI usage in healthcare settings?
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Lesser patient interaction with doctors |
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AI being viewed as a looming threat that will replace users rather than being an empowering tool to support them |
High-performance medicine: the convergence of human and artificial intelligence |
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| 7 |
According to the article, what is essential for increasing AI acceptability among medical professionals?
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Ensuring AI systems have high algorithmic performance |
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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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contextual and environmental matters) encompassing social influence, organisational readiness, ethicality, and perceived threat. |
An intelligent future for medical imaging: a market outlook on artificial intelligence for medical imaging |
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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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readiness, ethicality, and perceived threat to professional identity. Yet, numerous studies have overlooked a meaningful subset of these factors that are integral to the use of medical AI systems |
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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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| 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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where DA is released and functions to modulate key aspects of movement control and some aspects of cognition.1 In PD, the loss of dopaminergic (DAergic) innervation to the striatum, especially the putamen, leads to motor impairments such as bradykinesia and rigidity |
Cognitive impairment in Parkinson's disease: the dual syndrome hypothesis |
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| 12 |
Which animal was used to test the STEM-PD product for safety and efficacy?
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Pigs |
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STEM-PD cells survive long term in the pig brain upon transplantation using the clinical delivery device |
Human fetal dopamine neurons grafted into the striatum in two patients with severe Parkinson's disease. A detailed account of methodology and a 6-month follow-up |
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| 13 |
What was the duration of the preclinical safety study in rats mentioned in the article?
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3 months |
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STEM-PD. Bioinformatic scoring of cell-cycle phase showed that approximately 0.5% of the cells in the grafts were detected as cycling at 3 months post-transplantation, and this decreased over time. By 12 months, the % cycling cells and % Ki67+ cells were both <0.1%, |
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| 14 |
What is the name of the clinical trial phase mentioned for STEM-PD?
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Phase III |
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| 15 |
How is the STEM-PD product manufactured?
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Under GMP-compliant conditions |
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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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| 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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| 18 |
What specific markers were used to assess the purity of the STEM-PD batch?
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OCT4 and NANOG |
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by flow cytometry (75.3% OCT3/4+NANOG+) and assessment of genetic integrity and stability by karyotyping, CytoSNP array and sequencing of oncogenes and PD-associated genes |
Generation of high-purity human ventral midbrain dopaminergic progenitors for in vitro maturation and intracerebral transplantation |
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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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sonic hedgehog (SHH) for ventralization to obtain VM progenitor cells (Figure 1B; STAR Methods).27 At day 9, fibroblast growth factor 8b (FGF8b) expressed at the midbrain-hindbrain boundary was added to fine-tune patterning toward a caudal VM fate, which we have shown to be associated with successful graft outcome in a preclinical rat model of PD. |
Figure 1B; STAR Methods |
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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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