AI is modernizing the traditional aspects of dentistry. AI-based systems are often used for designing automated software programs that streamline the diagnosis and data management in dentistry. Mostly they are used as clinical decision support systems that assist and guide experts to make better decisions. These systems have been used for better diagnosis, treatment planning, …
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 …
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 …
Medical proctoring is an objective assessment of a practitioner’s clinical competence by a ‘proctor’ or a ‘supervisor’ belonging to the medical staff. The American Academy of Family Physicians (AAFP) defines proctoring as an objective evaluation of a physician’s clinical competence by a proctor who represents and is responsible for, the medical staff. AAFP categorizes proctoring …
AI & Augmented Reality enabled Medical Proctoring Read More »
Kidney disease is a severe health condition that results in high morbidity and economic burden. According to a report by Lancet, since 1990, chronic kidney diseases have increased by 29.3%, and in 2017, the global burden reached around 9.1%, which is about 700 million cases. Kidney disease varies from person to person in terms of …
It’s always fascinating to see the clashing of two industry 4.0 technologies. In the additive manufacturing industry, the use of artificial intelligence has been rife, with software developers and research institutions alike seeking to leverage the predictive power of machine learning across two primary applications. The first is process control. While industrial 3D printing has …
Use of Artificial Intelligence in Additive Manufacturing Read More »
