Artificial Intelligence in Medicine: From Oncology to Predicting Preterm Birth

Source Domain: unn.ua

AI Outperforms Doctors in Diagnostics: Recent studies indicate that AI models can outperform doctors in primary diagnosis in certain scenarios, marking an important shift toward more active AI usage in clinical settings.
Oncology Diagnostics: AI technologies in oncology, like the DAMO GRAPE system for gastric cancer screening, have demonstrated higher diagnostic accuracy compared to human radiologists.
AI in Radiology and Cancer Detection: The FDA has approved over 70 AI-related devices, most aimed at cancer detection, including breast cancer and cervical cancer screening.
Surgical Efficiency with AI: AI-assisted robotic surgery systems like the Da Vinci Surgical System improve efficiency and reduce operation times by analyzing and learning from surgeons’ actions.
Perinatal Medicine Advancements: AI assists in recognizing fetal abnormalities, predicting delivery dates, and detecting fetal distress, significantly aiding in prenatal care.
Ukraine’s Adoption of AI: AI tools are beginning to be integrated in Ukrainian medical settings for use in diagnosing and improving maternity care outcomes.
Supportive Role of AI: Experts emphasize that while AI technologies offer advanced tools, the final responsibility for patient care remains with healthcare professionals.

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