For the healthcare sector, clinical trials cost billions of euros and often proceed for years without any guarantee of success after the study. It is a method to assess a drug or medical device’s effectiveness in a clinical setting but is very expensive due to complicated clinical protocol and strict record-keeping. Artificial intelligence techniques are …
AI-based Digitalized Clinical Trials – The In-Silico style Read More »
Scientists worldwide are working on harnessing cutting-edge AI techniques to make a mark on patient safety. Be it in a pharmacy, hospital, or managed care facility, the focus is on eliminating medication errors. According to a recent survey, 7,000 to 9,000 people die each year due to a medication error in the United States alone. …
Artificial Intelligence to Eradicate Prescription Errors Read More »
Healthcare is in the midst of a transition from conventional medicine to a patient-centric, consumer-led model. Earlier, a doctor would diagnose and plan the treatment based on a fragmented medical history or medical records. However, with the advent of wearable technologies and sensors, it is possible to generate rich data sets that would enable health …
Digitalization, cloud technology, and new generations of smart-phones and other devices with integrated apps help patients track their diseases continuously. Activity trackers, smartwatches, glucose monitors, and other wearable biosensor technology have become a part of our lives. Like any other healthcare sector, Dentistry also has entirely transformed due to the establishment of computer-based advanced technologies, …
Artificial intelligence (AI) has been widely documented in healthcare, and medical imaging is one of its most promising applications. The data from the images provide clinicians with an abundant and intriguing source of information about patients. The computerized algorithms and pattern recognition abilities of AI are increasingly helping medical practitioners make an accurate diagnosis and …
Machine Learning (ML) and Artificial Intelligence solutions have shown powerful diagnostic performances, especially to interpret and analyze medical images and identify pathological lesions. In ophthalmology, deep learning and machine learning are being used to identify diseases, study images, make accurate intraocular lens calculations, and improve surgical outcomes. Early detection of eye problems is critical as …
Artificial Intelligence & Machine Learning in Ophthalmology Read More »
According to WHO’s latest reports, with approximately 17.9 million deaths every year, cardiovascular diseases (CVDs) are the leading cause of death in adults. This disease group affects the heart and blood vessels and causes coronary heart disease, cerebrovascular disease, and rheumatic heart disease. Transformative AI technologies have been applied in cardiovascular in many areas, such …
Digital innovations are inevitable to reduce environmental footprint, ensure safety, and reduce costs. The use of robotics to automate the oil and gas industry is a great way to increase productivity and make operations more efficient. Many Oil and Gas assets are located in highly inaccessible places either deep underground or deep underwater which are …
Drones or Unmanned Aerial Vehicles (UAVs) are revolutionizing a wide range of industries. But despite high profile instances like the military, the adoption rate is still in the infancy in many areas. This situation is rapidly changing, and a prime example is the innovative use of drones in the warehouse and supply chain logistics. Estimates …
Drone Application for Warehouse Inventory Management Read More »
For the past 70 years, we have witnessed innovations becoming smaller and smaller – a prime example being the microchip that powers all our electronics. As innovation into the nanoworld progresses, it opens previously impossible doors in the realm of medicine and life sciences. What is “Nano”? Before we dive into the medical applications of …
