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D. Prakash

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Sep 2026

A Resource-Efficient End-to-End Multimodal AI Framework for Automated PET-CT Report Generation and TNM Staging in Breast Cancer

Positron Emission Tomography-Computed Tomography (PET-CT) is integral to breast cancer staging. However, manual interpretation is time-consuming and subject to inter-observer variability. While artificial intelligence has shown promise in lesion detection and standardised uptake value (SUVmax) quantification, exist...

D. Prakash, Venkatesh Rangarajan, Manoj Kumar · 0 citations
Review Open access Sep 2026

Context-Grounded PET-CT Report Generation Using LoRA-Fine-Tuned BioMedLM with Physician Validation and Safety Evaluation

Parameter-efficient fine-tuning of biomedical language models can generate coherent physician-style PET-CT report sections from structured clinical findings, with high physician-assessed factual correctness and no unsafe hallucinations in this limited reviewed subset, supporting the feasibility of structured-finding-to...

D. Prakash, Pramukh Kulkarni, Venkatesh Rangarajan et al. · 0 citations

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