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AI in Medical Image Analysis
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AI in Medical Image Analysis
AI in Medical Image Analysis
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1
Question
What is the primary purpose of using CNNs in medical imaging according to the abstract?
Answer
Diagnosing diseases like cancer from X-rays, MRI, CT scans with high accuracy
2
Question
How are medical images pre-processed in the CNN model training?
Answer
Using normalisation, augmentation, and denoising techniques
3
Question
What evaluation metrics are used for the CNN model's performance?
Answer
Accuracy, sensitivity, specificity, precision, recall, F1-score, AUC
4
Question
What advantage does the CNN model show over traditional diagnostic methods?
Answer
Greater diagnostic capabilities than manual assessment by radiologists
5
Question
What specific features can the CNN model detect with high sensitivity?
Answer
Tumours, lesions, fractures in clinical settings
6
Question
Why is medical imaging critical in oncology?
Answer
Enables early detection and improves patient outcomes dramatically
7
Question
What challenges does manual interpretation of medical images face?
Answer
Time-consuming, inter-observer variability, prone to human error
8
Question
How do CNNs enhance cancer diagnosis through medical imaging?
Answer
By identifying lesions, classifying tumors, predicting progression with minimal intervention
9
Question
What cancers has AI shown promise in detecting early?
Answer
Breast, lung, prostate, and rarer malignancies
10
Question
What obstacles remain in AI for cancer detection?
Answer
Algorithmic bias, data privacy, interpretability, need for large annotated datasets
11
Question
What does this study analyze regarding AI in disease diagnosis?
Answer
AI methods, diagnostic performance for cancers, benefits, difficulties in clinical integration
12
Question
How does X-ray imaging produce images of body areas?
Answer
Using high-energy radiation to capture internal structures
13
Question
What are primary uses of CT scans in medicine?
Answer
Diagnosing diseases, planning treatments, evaluating treatment effectiveness
14
Question
What principle does ultrasound imaging rely on?
Answer
Sound waves to create pictures of organs, tissues, body parts
15
Question
How does PET imaging involve radioactive tracers?
Answer
Tracer injected, absorbed in tissues, gamma rays detected to form 3D images
16
Question
What does AI refer to in medical image analysis?
Answer
Computational algorithms using ML and DL to process and interpret images
17
Question
How does AI improve medical image interpretation compared to conventional methods?
Answer
Faster, more reliable, potentially more accurate diagnosis
18
Question
What is machine learning in the context of medical imaging?
Answer
Algorithms trained on labelled datasets to identify patterns, segment, classify diseases
19
Question
How do deep learning models like CNNs extract features from images?
Answer
Using multi-layered neural networks to learn hierarchical features automatically
20
Question
What preprocessing techniques enhance medical image quality for AI?
Answer
Normalisation, denoising, picture enhancement
21
Question
What is data augmentation in AI medical imaging?
Answer
Applying transformations like rotation, scaling to increase training dataset size
22
Question
Why does data augmentation reduce overfitting in models?
Answer
Increases dataset variety, improves model robustness
23
Question
What is transfer learning in medical image analysis?
Answer
Fine-tuning pre-trained models on smaller medical datasets to save resources
24
Question
How do CNN layers operate in image analysis?
Answer
Perform convolutions to detect edges, textures, shapes progressively
25
Question
What tasks do CNNs excel in for medical images?
Answer
Classification, segmentation, object detection of abnormalities
26
Question
What challenge arises from limited labelled datasets in AI training?
Answer
Difficulty training reliable deep learning models, especially for rare diseases
27
Question
Why is interpretability a limitation of CNNs in clinical use?
Answer
Operate as black boxes, hard to explain diagnostic decisions
28
Question
What generalization issue affects AI models in medical imaging?
Answer
Poor performance on diverse patient demographics or imaging sources
29
Question
What regulatory step is required for AI tools in clinical settings?
Answer
Stringent validation and approval like FDA or CE
30
Question
How does AI detect cancer in breast imaging?
Answer
Identifying tumors in mammography using deep learning techniques