Technological advancement and increased focus on digital transformation has not only brought immense efficiency but has also transformed customer expectations. One such consumer trend that is disrupting industries such as retail, hospitality, banking, education, etc. is “On-Demand Services”. PricewaterhouseCoopers estimates that the on-demand economy will reach a massive $335 billion by 2025. The global healthcare …
Technological integration of Artificial Intelligence (AI) and machine learning in the Prosthetic and Orthotic industry has become a boon for persons with disabilities. The concept of neural network has been used by the leading manufacturers of rehabilitation aids for simulating various anatomical and biomechanical functions of the lost parts of the human body. Moving from …
In today’s world of seamless interconnectivity, AI’s ability to identify disease patterns through machine learning is empowering public health practitioners and policymakers with enormous potentials. This offers new hope in effectively preventing various diseases by recognizing early subtle signs of the disease and preventing it from progressing. Focused, context-specific preventive steps promote cost-savings on therapeutic …
The retail industry is a good example of how artificial intelligence can be used to improve the efficiency and profitability of an existing business. The most obvious way to do this would be to automate the repetitive tasks that are currently done by humans, such as stocking shelves or checking out customers. Another possibility is …
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The banking industry is undergoing a transition from traditional paper-based system to digital payments. The problem with this new system is that it’s not foolproof and can be hacked easily. Banks are constantly looking for ways to prevent fraud and detect fraudulent activity on their systems. This is where artificial intelligence comes into play. One …
Advancement in artificial intelligence has designed smart algorithms that support clinicians with early detection and diagnostics of various types of mental health issues. These algorithms can analyze data much faster than humans, suggest possible treatments, monitor a patient’s progress, and alert human professionals to any concerns. Neuroscientists and clinicians around the world are using machine …
AI in Psychiatry – Detecting Mental Illness Using AI Read More »
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 …
