Objectives Probability or risk outcome estimates tailored to individual patient characteristics can facilitate more ...
Objectives This study aimed to identify a deterioration prediction tool for patients after craniotomy. Design A retrospective cohort study. Setting Three large tertiary hospitals in Hunan Province, ...
Please provide your email address to receive an email when new articles are posted on . The Insall-Salvati ratio, tibial tubercle-trochlear groove distance and trochlear depth had the greatest ...
Large Language Models (LLMs) such as GPT-4, Gemini-Pro, Llama 2, and medical-domain-tuned variants like Med-PaLM 2 have demonstrated remarkable capabilities in answering medical questions and clinical ...
Relapse patterns, risk factors, re-resectability and survival after curative treatment for metastatic colorectal cancer (mCRC): A RAXO substudy.
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
Patients with myelodysplastic syndromes (MDS) exhibit diverse disease trajectories necessitating different clinical approaches ranging from watch-and-wait strategies to hematopoietic stem cell ...
Chronic kidney disease (CKD) is a complex condition marked by a gradual decline in kidney function, which can ultimately progress to end-stage renal disease (ESRD). Globally, the prevalence of CKD ...
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