Future studies can investigate the use of other LLMs
Research gap analysis derived from 3 biology papers in our local library.
The gap
Future studies can investigate the use of other LLMs or machine learning models for MSI prediction. Future studies can evaluate the performance of LLMs in predicting MSI status from different types of cancer. Future studies can investigate
Evidence profile
Sourced from the future-work section of the source papers, classified as general, spanning 3 journals.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Artificial intelligence and radiomicsadiomics on computed tomography for differentiating hepatocellular carcinoma and intrahepatic cholangiocarcinoma: a multimodal integration approach (2026) · BMC Medical Imaging · doi
Future studies can investigate the application of the proposed approach to other types of cancer. Future studies can evaluate the performance of the proposed approach using larger sample sizes. Future studies can explore the use of other machine learning algorithms and techniques for improving the accuracy of differentiation.
generalfuture-work sectionKeywords: future studies investigate application proposed approach other types - Improving predicted risk of recurrence using molecular profiling in papillary thyroid cancer (2026) · Scientific Reports · doi
Future studies should investigate the use of molecular diagnostics to predict cancer outcome in other types of cancer. Future studies should explore the potential of using machine learning techniques to develop predictive models for other diseases. Future studies should aim to validate the predictive model in larger cohorts and explore its clinical utility.
generalfuture-work sectionKeywords: future studies investigate use molecular diagnostics predict cancer - Large Language Model Morphology-to-Genotype Inference for Microsatellite Instability From Colorectal Carcinoma Histopathology Reports (2026) · Cureus · doi
Future studies can investigate the use of other LLMs or machine learning models for MSI prediction. Future studies can evaluate the performance of LLMs in predicting MSI status from different types of cancer. Future studies can investigate the use of LLMs in combination with other diagnostic tools for MSI prediction.
generalfuture-work sectionevidence 5/5Keywords: future studies investigate use other llms machine learning
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