Researchers from the faculties of Engineering and IT at Monash University have come up with an AI algorithm that can judge another AI algorithm's annotation or label in a medical scan, mimicking the process of seeking a second opinion.
FINDINGS
They created a dual-view AI system where one part labels medical images while the other judges the quality of the AI-generated labelled scans by...
ML tool predicts Parkinson's onset
A research team from the University of New South Wales, together with their collaborators from Boston University, has come up with an AI tool that could be potentially used to predict Parkinson's disease years before the onset of initial symptoms.
The machine learning tool called CRANK-MS, (Classification and Ranking Analysis using Neural network generates...
A review of studies published in JAMA Network Open found few randomized clinical trials for medical machine learning algorithms, and researchers noted quality issues in many published trials they analyzed.
The review included 41 RCTs of machine learning interventions. It found 39% were published just last year, and more than half were conducted at single sites. Fifteen trials took place in the U....
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...
Disruption in healthcare has been a long time coming, and for many organizations, the COVID-19 pandemic acted as the catalyst to adopt innovative technologies.
For instance, even some of the most cutting-edge health systems only had artificial intelligence and machine learning programs for a few years prior to the onset of the pandemic.
“Children’s Hospital of Colorado has a rich history of...
A UK-based applied science company, focused on supporting cancer diagnostics with machine learning, is bringing its award-winning solution to the United Arab Emirates (UAE).
Kheiron Medical Technologies has partnered with the UAE’s Atlas Medical to launch Mia, its breast cancer screening solution that supports radiologists in reducing errors in cancer detection, in the region.
Launched in 2019,...
The Korea Institute of Machinery and Materials, a research body under South Korea's Ministry of Science and ICT, said its researchers have developed a cardiovascular event prediction model that enhances the speed and accuracy of disease diagnosis.
Researchers led by Dr Jong-won Park, head of the institute's Department of Reliability Assessment, collaborated with the cardiology research group at...
InteliCare was recently awarded an AU$100,000 grant (around $77,000) from the New South Wales Smart Sensing Network to enhance its machine learning capability. It received the grant along with partners Macquarie University and the University of Sydney.
The listed aged care technology developer will be working on a one-year project with NSSN and the Computer Science units of both universities....
A study has demonstrated the international transferability of a Taiwanese artificial intelligence model for detecting medication errors in EHR systems in the United States.
The study was jointly conducted by Taiwan-based medical AI startup Aesop Technology, Taipei Medical University, Harvard Medical School and Brigham and Women's Hospital. Its results were announced last week in a press release....
