Investing.com has reportedly experienced a significant data breach, with a threat actor claiming to have accessed approximately 6.5 million user records by exploiting an Insecure Direct Object Reference (IDOR) vulnerability. This breach, which allegedly remained active for about a week, resulted in the exposure of sensitive user data, including IDs, email addresses, and registration details. The perpetrator has shared examples of compromised records and indicated that the dataset, which includes information dating back to 2014, is available for sale on BreachForums. As of now, Investing.com has not issued an official response to the incident.

Massive Data Breach Exposes 6.5 Million Records at Investing.com dailydarkweb.net

Researchers at Mass General Brigham have developed a tool to assess frailty in older adults, utilizing electronic health records from over 500,000 patients. This tool classifies patients aged 60 and above into four categories—robust, pre-frail, frail, and very frail—based on 31 health deficits identified in their records. Published in the Journal of the American Geriatric Society, the findings indicate that very frail individuals are at a significantly higher risk of death and rehospitalization within 90 days compared to those classified as robust, aiding clinicians in managing high-risk patients even without comprehensive primary care records.

New Tool Identifies Frailty Risks in Older Adults Using EHR Data Mass General Brigham

The article provides an overview of essential AI buzzwords that are defining the current landscape of artificial intelligence and technology. It explains key concepts such as "machine learning," "deep learning," "natural language processing" (NLP), and "computer vision," which are vital for both professionals and businesses navigating this evolving field. By understanding these terms, readers can better assess how to integrate AI technologies into their operations, ultimately aiding in informed decision-making. The piece serves as an introductory guide for those interested in keeping pace with the rapidly changing AI terminology.

Master Key AI Buzzwords to Stay Ahead in Technology Apple News

UCHealth in Aurora, Colorado, has developed an AI-enhanced risk modeling tool to reduce patient falls in hospitals by providing customized prevention strategies. This system addresses the limitations of traditional fall prevention methods, like bed alarms, that can overwhelm healthcare staff. By utilizing mobility data and behavioral indicators, the model predicts fall risk and incorporates these assessments into the Epic electronic health records system. A multidisciplinary team identified 12 risk domains and 92 variables from over 181,000 inpatient admissions, ultimately creating a logistic regression classification that categorizes patients into three risk tiers: Highest Risk, Elevated Risk, and Universal Risk. The implementation of this model into clinical workflows emphasized the need for straightforward, actionable precautions that clinicians can easily understand and apply.

AI-Powered Tool Revolutionizes Fall Prevention in UCHealth Hospitals Healthcare IT News