Discover the newest research about AI innovations in 🎗 Oncology.
AI hallucinations pose challenges in medical applications, impacting clinical decisions and patient safety. Researchers emphasize the need for robust detection strategies. 🏥🤖
AI shows promise in generating innovative hypotheses for early colorectal cancer diagnosis. 🤖💡 Human expertise remains crucial for evaluation.
Electrochemical biosensing offers rapid, cost-effective cancer detection. This review highlights its advantages over traditional methods. 🧬🔬
Exploring clinician insights on the ALERT tool for predicting mortality in advanced cancer patients. 🤖💔 Key benefits and challenges discussed.
Recent research highlights the role of neutrophil extracellular traps in acute myeloid leukemia. 🩸 Key findings suggest potential for improved prognostic models. 📊
A recent study explored a voice-activated assistant to help young adult cancer survivors manage insomnia. 💤📱
Clinician-driven data preprocessing enhances AI in nuclear medicine, improving predictive performance by up to 18%. 📈🤖
Exploring environmental sustainability in cancer imaging is crucial. 🌍 This review highlights strategies to reduce impact while improving patient outcomes. 📈
Digital therapeutics enhance cardio-oncology rehabilitation for lung cancer survivors, improving fitness and quality of life. 📈💪
New research reveals the spatial tumor microenvironment of intrahepatic cholangiocarcinoma, impacting patient prognosis and treatment options. 🧬🔍
