Advancements in AI for Medical Diagnosis and Prognosis Across Healthcare

Key Intelligence

• ■New AI models are demonstrating high accuracy in diagnosing various conditions, including brain abnormalities from MRIs (up to 97.5% accuracy) and different types of cancer, with LG's EXAONE Path 2.5 leading in global cancer diagnosis accuracy.
• ■AI is being developed and tested for predictive capabilities, such as forecasting brain age, cancer survival rates, and the progression of specific diseases like myeloid neoplasms and bladder cancer.
• ■Foundation models are emerging in neuroradiology, offering wide adaptability, while generative AI is being used to enhance workflow efficiency by proofreading radiology reports.
• ■The integration of advanced AI imaging is expanding to other medical fields like dentistry, and major initiatives, such as ASCO AI in Oncology 2026, are being launched to further drive AI adoption in healthcare.