Lung cancer prediction, critical in oncology, benefits from AI, notably GPT-3.5 Turbo. It leverages diverse data, including demographics, medical history, genetics, environment, imaging, and clinical notes, to generate accurate risk assessments. GPT-3.5 Turbo's unique capabilities in natural language understanding enhance predictive models by extracting insights from unstructured data, refining risk stratification, and facilitating early detection and intervention. Its development involves rigorous steps of data collection, preprocessing, feature engineering, model selection, and evaluation to ensure robustness and generalizability, promising significant advancements in lung cancer care and patient outcomes.
Category tags:"I like the novelty of the product, however i think it could have been more in depth in its implementation. Especially in terms of cancer treatment, where AI is already a sensitive topic to implement"
Shebagi Mitra
Technical Mentor
"excellent choice of the disease, many doctors really need it. your demo is not available to try, your solution features can be changed a little to match what doctors need. continue working on it, medical projects need LLM integration."
Walaa Nasr Elghitany
Data scientist and doctor