Navigating the path to precision: ChatGPT as a tool in pathology.

In recent years, the integration of Artificial Intelligence (AI) into medicine has marked a transformative shift in healthcare practices. This study explores the application of ChatGPT 3.5, an AI-based natural language processing model, in the field of pathology, with a focus on Clinical Pathology, Histopathology, and Hematology. Leveraging a dataset of 30 clinical cases from an online source, the model's performance was evaluated, revealing moderate proficiency in data analysis and decision support. While ChatGPT demonstrated strengths in swift narrative comprehension and foundational insights, limitations were observed in generating detailed and comprehensive information. The study emphasizes the evolving nature of AI in pathology, highlighting the need for ongoing refinement and collaborative efforts between AI researchers and healthcare professionals.

Comparison of 3-tier cytological grading systems for breast carcinoma.

Background. Fine-needle aspiration cytology plays a major role in the primary diagnosis of breast carcinoma. Cytological grading of the smears can provide valuable prognostic information and aid in planning the management options. Aim. To evaluate various 3-tier cytological grading systems and to determine the best possible system which is reliable and objective for use in routine practice. Materials & Methods. 72 fine-needle aspiration smears of breast carcinomas were graded by two pathologists and compared with the histologic grading by Nottingham modification of Scarff-Bloom-Richardson method. Concordance and correlation studies were done. Kappa measurement of interobserver agreement was also done. Results. Robinson's method showed a better correlation (77.7%) and substantial Kappa value of agreement (κ = 0.61) with Bloom Richardson's histological grading method in comparison to the other methods, closely followed by Fisher's method. Fisher's method showed better interobserver agreement (84.7%, κ = 0.616) compared to the other systems. Conclusions. Robinson's method of cytological grading in fine-needle aspiration smears of breast carcinoma is simpler, multifactorial, and feasible, hence being preferable for routine use according to our study.