Tag: AI for healthcare

MultiFace Scan is a combo rPPG technology that allows for the scanning or monitoring of multiple individuals.A nursing home ward nurse could scan patients without interrupting their sleep, collect their vitals, and have the data sent to the facility medical record system.Scanning of individuals where you don't want to have...

Using an optical technique called remote photoplethysmography (rPPG), Face Scan analyzes light that reflects off exposed skin on the face.Using advanced AI and deep learning algorithms, including computer vision technology and signal processing, estimates of vital signs such as blood pressure, respiration rate, heart rate, and blood oxygenation are derived. Medical...

3D Body Scanning using Smartphone for Weight-loss, Health, and Fitness.Everyone has a 3D body scanner in their pockets. Using your smartphone, you are able to scan and store 100 plus measurement points for your body.No extra equipment needed. Private. Secure. Accurate.The first and most convenient way to scan for body...

More prediabetes education for Mexican Americans may mean less diabetesPrograms that promote more education could also improve long term health.Lindsay Fernández-Rhodes, Penn StateThe Research Brief is a short take about interesting academic work.The big ideaLatino adults who obtain a higher level of education than their parents are less likely to...

Beyond its use in a clinical environment, photoplethysmogram (PPG) is increasingly used for measuring the physiological state of an individual in daily life. This review aims to examine existing research on photoplethysmogram concerning its generation mechanisms, measurement principles, clinical applications, noise definition, pre-processing techniques, feature detection techniques, and post-processing techniques...

Recent research indicates that Photoplethysmography (PPG) signals carry more information than oxygen saturation level (SpO2) and can be utilized for affordable, fast, and noninvasive healthcare applications. All these encourage the researchers to estimate its feasibility as an alternative to many expansive, time-wasting, and invasive methods. This systematic review discusses the...

How artificial intelligence could provide some respite for the NHSEmma Rich, University of Bath and Andy Miah, University of SalfordThe NHS recently announced plans to trial an artificially intelligent mobile health app to a million people in London. The aim is to help diagnose and treat patients by engaging them in...

The digital, data and artificial intelligence (AI) dividends of the fourth industrial revolution will create better healthcare outcomes.To gain the trust required for broader adoption, AI in healthcare must follow three principles: responsible use of data and algorithms, functional competence and transparency around technology’s limitations.Already, AI-driven health solutions have proven...