Risk Prediction & Early Warning — AI medical research

Clinical Tumor Lysis SyndromeAI analysis of lab test trends better predicted a serious kidney-related cancer emergency in ICU patients.This could help researchers design studies to spot patients at risk of this emergency earlier using lab data trends, improving research timing and validation.KidneysRead →
Diabetic Foot RiskAI helped identify patients at high risk of diabetic foot problems using routine clinical information.This could help researchers develop better ways to spot high-risk patients early and plan studies on prevention more effectively if validated further.SkinRead →
Hilar CholangiocarcinomaAI improved survival prediction after surgery for a rare liver cancer.Better predictions could help researchers measure patient outlook more accurately and design better follow-up studies for this cancer.LiverRead →
Radiotherapy Patient-Specific Quality AssuranceAI predicted radiotherapy dose quality for individual patients using anatomical features.This method could help researchers understand and measure dose delivery variations more quickly and transparently, improving radiotherapy plan checks if validated further.HeartRead →
Severe Acute PancreatitisAI predicted severe acute pancreatitis early with high accuracy using routine patient data.This could help researchers study faster ways to spot severe pancreatitis sooner for better research on timing and treatment. It may point toward early clinical checks if validated further.Digestive systemRead →