From Manuals to Maintenance: Fine-Tuning MedGemma for Multi-Modal Imaging System Support in Low-Resource Settings

arXiv:2608.08896 · cs.AI · Submitted 2026-08-09 · Read on arXiv

Bernes Lorier Atabonfack, Zion Kongbi Nfo, Ahmed Tahiru Issah, Tolulope Olusuyi, Clemence Ingabire, Mohammed Hardi Abdul Baaki, Mawuli Deku, Abdulrazaq Zubair, Alyasaa Anas, Raymond Confidence, Maruf Adewole, Udunna C. Anazodo

cs.AI

Submitted: 2026-08-09

Updated: 2026-08-11

Comments: Accepted at the AFRICAI 2026 Workshop, a satellite event at MICCAI 2026. To appear in Springer Lecture Notes in Computer Science (LNCS)

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Fine-Tuning — 26× in this paper · explained in 5 episodes
• Foundation Model — 8× in this paper · explained in 3 episodes
• QLoRA — 8× in this paper · explained in 2 episodes
• Parameter-Efficient Fine-Tuning — 6× in this paper · explained in 3 episodes
• Foundation Models — 5× in this paper · explained in 8 episodes
• Grounding — 3× in this paper · explained in 3 episodes
• RAG — 3× in this paper · explained in 3 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• F1 Score — 2× in this paper · explained in 4 episodes
• Quantization — 2× in this paper · explained in 15 episodes
• Augmentation — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 4 episodes
• Calibration — 1× in this paper · explained in 9 episodes
• Core — 1× in this paper · explained in 2 episodes
• Decision-Support Tool — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 4 episodes
• Hybrid System — 1× in this paper · explained in 2 episodes
• Instruction Tuning — 1× in this paper · explained in 3 episodes
• Language Models (LLMs) — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 9 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Semantic Alignment — 1× in this paper · explained in 6 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 13 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Transformers — 1× in this paper · explained in 2 episodes

Sources

• MedGemma Technical Report
• QLoRA: Efficient Finetuning of Quantized LLMs
• Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications
• LoRA: Low-Rank Adaptation of Large Language Models
• BERTScore: Evaluating Text Generation with BERT

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