April 1, 2024Journal of Pharmacy And Bioallied SciencesOpen Access

Utilizing Artificial Intelligence Application for Diagnosis of Oral Lesions and Assisting Young Oral Histopathologist in Deriving Diagnosis from Provided Features – A Pilot study

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Authors

AIAtikul IslamBangabandhu Sheikh Mujib Medical University ABAbhishek BanerjeeChinese Academy of Sciences SWSisca Meida WatiAirlangga University

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Implication

Cross-sectional study demonstrates reliable ChatGPT diagnostic reasoning in oral pathology across 25 queries, highlighting artificial intelligence utility in histopathology training.

Key Points

Artificial intelligence successfully resolved 25 diagnostic queries with statistically significant kappa values, demonstrating noteworthy relational accuracy for oral lesions.
Cross-sectional study assessed ChatGPT-3.5 on queries regarding histological features, with five pathologists evaluating responses on a four-point Likert scale.
Supports AI integration to assist students in oral pathology reasoning, though future research across newer models remains necessary to confirm diagnostic accuracy.

Cite This Study

Islam et al. (2024) studied this question.

synapsesocial.com/papers/68e70f02b6db643587688b22 https://doi.org/10.4103/jpbs.jpbs_1287_23

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Implication

Cross-sectional study demonstrates reliable ChatGPT diagnostic reasoning in oral pathology across 25 queries, highlighting artificial intelligence utility in histopathology training.

Utilizing Artificial Intelligence Application for Diagnosis of Oral Lesions and Assisting Young Oral Histopathologist in Deriving Diagnosis from Provided Features – A Pilot study

Discussion

Member takes

Implication

Key Points

Cite This Study

Utilizing Artificial Intelligence Application for Diagnosis of Oral Lesions and Assisting Young Oral Histopathologist in Deriving Diagnosis from Provided Features – A Pilot study

Discussion

Member takes

Implication

Key Points

Cite This Study

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