South Korea clears AITRICS' AI software for predicting patient deterioration
AI startup AITRICS has obtained clearance from South Korea's Ministry of Food and Drug Safety for its AI monitoring solution.
The South Korean startup has developed VitalCare, an AI software for predicting a patient's risk of cardiac arrest, sepsis and death within 4-6 hours in the ICU. It tracks six vital parameters, 11...
Researchers from the Indian Institute of Science's Robert Bosch Centre for Cyber-Physical Systems have teamed up with doctors from MS Ramaiah Medical College to develop an artificial pancreas system that monitors and controls blood sugar levels in real time.
WHAT IT'S ABOUT
According to a press release, this system mimics the human body's closed-loop system for regulating insulin production.
It...
TIIM Healthcare, an AI health technology company in Singapore, has received an exclusive IP license to commercialise a novel technology developed by the Duke-NUS Medical School to identify patients at risk of dying from sepsis.
Established in 2016, TIIM, which stands for Technology Innovation in Medicine, develops AI triaging solutions. Its flagship product, aiTRIAGE, incorporates both heart rate...
Researchers from Nanyang Technological University Singapore and Tan Tock Seng Hospital have created a wearable assistive robot that prevents falls and assists in physiotherapy for the elderly.
WHAT IT'S ABOUT
The Mobile Robotic Balance Assistant (MRBA) has sensors to immediately detect a loss of balance and catches its wearer with a safety harness worn around the hips. It helps users to stand up...
A machine learning algorithm can accurately detect traumatic intracranial hemorrhage using information collected before patients reach the hospital, according to a study published in JAMA Network Open.
Researchers built a prehospital triage system using data paramedics could provide, including the patient’s age, sex, systolic blood pressure, heart rate, body temperature, respiratory rate,...
A combined approach using both face-to-face screenings and a machine learning model embedded in an EHR performed best at predicting suicide risk among adults, according to a study published in JAMA Network Open.
The study included more than 120,000 encounters in inpatient, ambulatory surgical and emergency department settings from more than 83,000 patients. It found the hybrid approach that used...
Fujifilm Corporation has developed AI technology that can predict whether patients with mild cognitive impairment will progress to Alzheimer's disease within two years.
According to a press statement, the AI Technology for AD Progression Prediction has been found to have high generalisability, predicting patients who would progress to AD with high accuracy, even for subjects from different...
Med247, a health tech startup in Vietnam, has raised $4.5 million in an oversubscribed Series A funding round led by Altara Ventures.
The round also drew the participation of Pavilion Capital, MiRXES, and angel investors East Ventures and Venturra Ventures.
WHAT IT DOES
Launched in 2019 with seed funding from venture capital investment firm KK Fund, Med247 operates under an offline-to-online...
Intellect offers free mental healthcare access to health workers in Singapore
Mental health startup Intellect has extended free three-month premium access to its mobile app for healthcare workers in Singapore.
CEO and co-founder Theodoric Chew said in a statement that this is their way of giving back to the "healthcare heroes" who have been swamped due to the recent surge of COVID-19 cases. This...
Researchers from Nanyang Technological University have created a predictive computer programme that could be used to screen individuals for risk of depression.
WHAT IT'S ABOUT
The machine learning-enabled Ycogni model detects a person's risk of depression by analysing their physical activity, sleep patterns, and circadian rhythms, whose data are acquired from wearable devices measuring steps,...
