Alzheimer’s disease is the most common cause of dementia in people all over the world. Although there is no treatment, early discovery is essential for developing effective therapies before the disease progresses irreversibly.
Researchers at Cedars-Sinai developed an artificial intelligence (AI) program that properly identified who would get pancreatic cancer depending on what their CT scan results looked like years before they were diagnosed.
Artificial intelligence (AI) is capable of examining huge volumes of data, such as trial results or images, and identifying patterns frequently unnoticeable by humans, rendering it extremely beneficial in accelerating disease detection, diagnosis, and treatment.
An artificial intelligence (AI)-based platform, developed in a multi-institutional collaborative research, enhanced the evaluations of providers regarding whether bladder cancer patients had a total response to chemotherapy treatment prior to a radical cystectomy (bladder removal surgery).
According to a team of international researchers headed by Mayo Clinic, artificial intelligence lowered the rate at which precancerous polyps were overlooked in colorectal cancer screening twofold.
Is it possible for robots to change their working techniques to complete difficult operations? Scientists at the Chalmers University of Technology in Sweden have created a new form of AI that can adjust to accomplish tasks in a changing environment by monitoring human behavior.
Patients that have suffered a stroke could receive critical early treatment in the crucial window shortly after experiencing an attack. This is thanks to a joystick-based system developed by MIT researchers that would give surgeons remote access to patients.
Medical imaging is a vital aspect of modern healthcare since it improves therapy accuracy, dependability, and development for a variety of diseases. Artificial intelligence has also been employed extensively to improve the procedure.
Throughout the COVID-19 outbreak, testing difficulties, long delays for results, and an overburdened healthcare system have garnered headlines.
An artificial intelligence (AI) model programmed using sequential health data extracted from electronic health records detected a subset of persons with a 25-fold danger of developing pancreatic cancer between 3 and 36 months, according to findings showcased at the 2022 Annual Meeting of the American Association for Cancer Research (AACR) that was held from April 8th to 13th.