AI in Musculoskeletal Diseases
In musculoskeletal medicine, AI promises to play a key role in the coming years and decades. Not only will AI assist in interpreting radiological studies such as X-rays and MRIs, it will also assist in remotely monitoring and assisting patients with their therapies. There are already highly-valued companies that use AI to monitor and provide […]
AI in Neurology II
A team from Stevens Institute of Technology has developed an artificial intelligence tool that can diagnose Alzheimer’s disease with more than 95 percent accuracy, eliminating the need for expensive scans or in-person testing. In addition, the algorithm is also able to explain its conclusions, enabling human experts to check the accuracy of its diagnosis. Alzheimer’s disease can […]
AI in Neurology I
An increasing number of algorithms can predict stroke from atrial fibrillation and characterizing plaques in carotid arteries for the same purpose. These fall under the bucket of cardiovascular or neurological diseases. Other neurological applications include assessment of acute ischemic stroke or intracranial hemorrhage. Viz.ai, a company that uses AI algorithm to do an initial read […]
AI in Cardiology II
Researchers from Mayo Clinic and AliveCor Inc. have been using artificial intelligence (AI) to develop a mobile device that can identify certain patients at risk of sudden cardiac death. This research has yielded a breakthrough in determining the health of the electrical recharging system in a patient’s heart. The researchers determined that a smartphone-enabled mobile […]
AI in Cardiology I
As a Cardiologist with expertise in AI, I definitely see a whole lot of areas where AI can improve the practice of cardiology. But my excitement is less about AI adding more accuracy to the reading of the variety of the imaging studies performed in the assessment of the cardiac patients, and more about adding […]
AI in Ophthalmology II
Moore’s Field Eye Hospital partnered with Google’s DeepMind to develop OCT algorithms for the eye. They can diagnose most retinal disease: diabetic retinopathy, AMD, glaucoma, and fifty more with a combination of high-quality photos of the eye and deep learning algorithm. Smart phone attachments can enable remote OCT or fundoscopic photo, coupled with an algorithm […]
AI in Ophthalmology I
As with dermatology, ophthalmology is another specialty where the examination of the eye, including the fundus is a huge part of the screening and diagnosis for a variety of eye conditions. As such, if there is a way to create high-quality digital pictures of the fundus (which there is!) then AI algorithms can be used […]
AI in Dermatology
Consistent with radiology and pathology, dermatology is another specialty where a lot of the diagnosis comes down to a visual inspection of the skin and doing pattern recognition. This is good fit for AI to assist. Assist is the right term since the diagnosis will need to take other factors into consideration such as patient […]
AI Shows Improved Accuracy In Diagnosis in Pathology
In 2021, the FDA granted its first clearance for a cancer diagnosis AI program to Paige, a New York-based company launched in 2018 with data and digital pathology tech from Memorial Sloan Kettering Cancer Center. The product, Paige Prostate, analyzes slides of biopsied prostate tissue to spot the hallmarks of malignant cells. The software highlights […]
AI in Pathology II
Four factors came together to make digital pathology a must-have instead of a nice-to-have. First, COVID-19 sent pathologists home and challenged them to figure out new remote workflows. Second, cloud storage got cheaper and more robust, allowing for the sharing of massive images. Third, the development of advanced artificial intelligence has enabled pathologists to gain […]