Researchers at Stanford Medicine and their colleagues have developed an artificial intelligence model that uses stained images of glioblastoma tissue to predict the aggressiveness of the brain tumor, determine the genetic makeup of the tumor cells, and evaluate whether cancerous cells remain after surgery.
UF Health in Jacksonville is using artificial intelligence to help doctors diagnose prostate cancer, allowing them to evaluate cases more quickly and accurately. The AI technology, provided by Paige Prostate, assists in distinguishing between benign and malignant tissue, enhancing doctors' abilities without replacing them.
Microsoft is partnering with digital pathology provider Paige to develop the world's largest image-based AI model for identifying cancer, which can identify both common and rare cancers and aims to assist doctors in dealing with staffing shortages and growing caseloads. Paige has received FDA approval for its AI viewing tool FullFocus, and with Microsoft's help, it has built an advanced AI model that is training on 4 million slides, making it the largest computer vision model publicly announced. The model aims to improve accuracy and efficiency in pathology and democratize access to healthcare.
The use of advanced imaging techniques in healthcare, such as CT and ultrasound examinations, has increased significantly in the past decade, leading to a growing interest in making these tools more intelligent, user-friendly, and accessible, with organizations like GE developing AI-assisted ultrasound technology to improve healthcare outcomes and access particularly in low to middle-income countries. Additionally, AI algorithms have shown promise in predicting breast cancer risk, and tools like Google Health's DermAssist have the potential to revolutionize patient healthcare.
Artificial intelligence (AI) could revolutionize brain surgery within two years by enhancing precision and safety, according to a leading neurosurgeon who claims that AI systems could gain more surgical experience in a few years than any human could in their lifetime.
A new study describes a method using artificial intelligence (A.I.) to provide surgeons with detailed diagnoses of brain tumors during surgery, helping them make decisions on how aggressively to operate.
Physicians in the Omaha metro are embracing the use of artificial intelligence, particularly in gastroenterology, as it helps to enhance the sensitivity and accuracy of colon cancer screenings by recognizing polyps in real-time, leading to a higher detection rate and potentially reducing the incidence of interval cancers.
Researchers have developed a machine learning tool that can accurately classify brain tumors in real time, aiding surgeons in identifying tumor type and adjusting surgical strategies accordingly.
Artificial intelligence (AI) has the potential to revolutionize cancer treatment by delivering precise and personalized information on disease progression and therapeutic benefits, and can significantly advance the goals of the Cancer Moonshot initiative.
A new AI model can detect skin cancer with 100% accuracy, potentially helping doctors catch the disease faster and triage patients more effectively.
Artificial intelligence has been found to accurately predict one-third of breast cancer cases up to two years before diagnosis, potentially leading to earlier detection and less aggressive treatment.
AI predicts one-third of breast cancer cases before diagnosis, AI chatbots found to propagate racial medical stereotypes, and Apple invests heavily in AI technology.
