Answer : C. AI assists radiologists by improving efficiency and reducing errors.
Rationale: AI in radiology helps address the shortage of radiologists by providing faster and more accurate image analysis. However, human oversight remains essential, as emphasized by the speakers.
Answer : A. Lack of labeled datasets and structured annotation tools.
Rationale: Unlike radiology, where structured annotation tools existed, ophthalmology lacked predefined models and labeling methods. This required significant manual effort in data preparation.
Answer : B. A system where a physician validates AI results to ensure accuracy.
Rationale: Dr. Karthik highlighted that having a human-in-the-loop system ensures that AI models do not make unchecked errors, enhancing trust and reliability in AI-assisted diagnostics..
Answer : B. USFDA clearance for full organ-based AI in chest X-rays.
Rationale: Achieving USFDA clearance for organ-based AI solutions indicates high regulatory confidence in the AI’s reliability and safety for medical diagnostics.
Answer : A. AI models trained on one population may not generalize well to other populations.
Rationale: Dr. Karthik highlighted how AI models trained on Indian eyes may not work well for Southeast Asian or Caucasian populations, presenting a challenge in universal AI deployment.
Answer : B. It ensures uniform AI integration and optimization of workflows.
Rationale: Large-scale AI adoption helps in creating standardized workflows, improving efficiency, and ensuring consistent diagnostic quality across hospitals.
Answer : B. AI augmenting, rather than replacing, human experts by integrating their feedback
Rationale: "Human-in-the-loop" AI ensures expert oversight, allowing physicians to validate AI decisions and improve accuracy, preventing errors in automated diagnostics.
Answer : B. Strong investor backing and collaborations with companies like Tata Capital and NTT Data
Rationale: Deep Tech AI’s success was driven by global partnerships, regulatory approvals, and strategic investor support, enabling scalability beyond India.
Answer : B. The global shortage of radiologists and increasing patient loads.
Rationale: As Mr. Ajit Patil mentioned, the number of radiologists is not sufficient to meet global demand, making AI an essential tool to bridge the gap in medical diagnostics.
Answer : B. Regulatory challenges, hospital workflow integration, and validation take time.
Rationale: Dr. Karthik pointed out that AI adoption in hospitals is slowed by regulatory hurdles, data standardization issues, and the need for validation before full deployment in clinical practice.
