AI in Colon Cancer Detection

The detection of small polyps in real-time to assist GI doctors while performing colonoscopies can improve the diagnosis of these often pre-cancerous lesions. A prospective study showed that AI can be accurate in helping to find small polyps. A team of researchers from Harvard Medical School and Beth Israel Deaconess Medical Center have been working […]

AI for Prognosis in Oncology

Prognosis establishes the seriousness and the stage of the tumor, which reflects the survival rate of the patient. An AI model was developed using deep learning to predict the survival rate of patients who’d undergone a gastrectomy. The deep tool was better at making predictions when compared to the predictions made based on the regular […]

AI in Oncology Diagnosis

The detection of cancer has become easier because of the use of AI and deep data mining. Researchers from Oregon State University successfully used deep learning to extract information from gene expression data that, in turn, helped them to classify different types of breast cancer cells.  The authors were able to extract genes from the […]

AI in Oncology I

Oncology promises to be one of the medical specialties that AI can have a huge impact long-term. The reason is that there are many different types and subtypes of cancer and successful diagnosis of each and subtyping can lead to better and more personalized management. As a matter of fact, the successful management of cancer […]

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., 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 […]