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OU Health Campus Explores AI Integration to Advance Healthcare in Oklahoma

OU Health Campus Explores AI Integration to Advance Healthcare in Oklahoma

The OU Health Campus recently hosted its inaugural AI Symposium, bringing together university and clinical enterprise leaders to discuss the transformative potential and inherent challenges of artificial intelligence in healthcare, research, and education. Carlos Bustamante, Ph.D., vice dean of research at the OU College of Medicine, emphasized the institution's unique position to lead AI integration, aligning with the university's strategic plan. The symposium highlighted Oklahoma's significant health challenges, including high rates of diabetes, cancer, and cardiovascular conditions, as an opportunity to leverage AI for improved care and outcomes, particularly for underrepresented populations. Ahmed Arshad, M.D., MBI, medical director of Clinical AI at OU Health, noted current AI applications in medical image triaging and documentation, with future potential in predicting patient risk and hospital readmission rates. The discussion also covered AI's role in reducing clinician burnout and the evolving phys...

CMS AI Prior Authorization Pilot Plagued by Delays and Technical Failures, Documents Reveal

CMS AI Prior Authorization Pilot Plagued by Delays and Technical Failures, Documents Reveal

Documents obtained through a Freedom of Information Act (FOIA) lawsuit by the Electronic Frontier Foundation (EFF) reveal widespread issues in the Centers for Medicare & Medicaid Services (CMS) Wasteful and Inappropriate Service Reduction (WISeR) Model, an AI-powered prior authorization program. The roughly 1,000 pages of records from the pilot's initial months outline significant problems including thousands of delayed approvals, miscommunications between tech vendors and Medicare Administrative Contractors (MACs), and provider frustration. Many prior authorization requests exceeded the program's three-day goal, with some remaining unanswered for over 80 days. Providers reported patients experiencing severe pain due to delayed procedures. Technical issues, system downtime, and a lack of communication from vendors, particularly Innovaccer in Ohio, were also cited. The WISeR model, launched on January 1, aims to curb improper spending in traditional Medicare by using AI for prior authorization in Arizona, O...

Arm Holdings CEO Rene Haas Predicts AI Will Cure Cancer, Drawing Expert Criticism

Arm Holdings CEO Rene Haas Predicts AI Will Cure Cancer, Drawing Expert Criticism

Arm Holdings CEO Rene Haas Predicts AI Will Cure Cancer, Drawing Expert Criticism

GE HealthCare Launches AI-Driven Operations System for Hospitals

GE HealthCare Launches AI-Driven Operations System for Hospitals

GE HealthCare has introduced a new artificial intelligence-enabled SaaS application called CareIntellect for Operations, designed to help healthcare organizations optimize resources and expand access to care. The system aims to address common challenges faced by health systems, such as rising patient care demands, staffing shortages, and increasing costs. CareIntellect for Operations can forecast capacity constraints up to 72 hours in advance by analyzing patient- and operational-level data, including bed availability and staffing. The application utilizes two proprietary GE HealthCare models: Pressure Forecast and Estimated Day of Discharge, and is informed by over two decades of healthcare operations expertise, including insights from GE’s Command Center software. Honolulu-based Queen’s Health Systems and Durham, N.C.-based Duke Health will be the first two clinical sites to implement this new tool.

JMI Equity Leads $50 Million Series C Funding for Archy, an AI Dental Platform

JMI Equity Leads $50 Million Series C Funding for Archy, an AI Dental Platform

JMI Equity Leads $50 Million Series C Funding for Archy, an AI Dental Platform

AI Startup Evvy Secures $40M to Advance Precision Diagnostics for Women's Health

AI Startup Evvy Secures $40M to Advance Precision Diagnostics for Women's Health

AI Startup Evvy Secures $40M to Advance Precision Diagnostics for Women's Health

Super El Niño to bring wetter, milder winter to U.S.

Super El Niño to bring wetter, milder winter to U.S.

A 'super' El Niño is developing, with climatologists predicting significant impacts on fall and winter weather across the central U.S. According to NOAA, this El Niño is expected to be one of the strongest on record, driven by record-high Pacific Ocean temperatures. Southern states like Texas and Oklahoma are likely to experience wetter and slightly cooler conditions, potentially alleviating drought conditions. Meanwhile, the Midwest is forecasted to have a milder winter, with average temperatures 1–4°F (0.5–2.2°C) above normal. This could lead to faster snowmelt and reduced snowpack, affecting winter recreation and agriculture. The phenomenon, which occurs every two to seven years, is also linked to increased atmospheric instability, raising the likelihood of thunderstorms and severe weather in the southern U.S. (Source time: 2026-09-15 10:02:00 GMT).

Texas Republican's post on Asian Americans at UT Austin sparks accusations of racism

Texas Republican's post on Asian Americans at UT Austin sparks accusations of racism

By David Hood-Nuño WASHINGTON, Sept 15 (Reuters) - A Republican nominee for a Texas office drew bipartisan criticism after posting a photo from a University of Texas football game that critics called racist, portraying the Austin campus as dominated by foreign students contrary to enrollment data.

NIH Launches PRIMED-AI Initiative to Advance Precision Medicine with AI Integration

NIH Launches PRIMED-AI Initiative to Advance Precision Medicine with AI Integration

The National Institutes of Health (NIH) has introduced the Model-to-Clinic (M2C) for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) funding opportunity. This initiative, structured as a UG3/UH3 program with optional clinical trials, aims to accelerate the translation of Artificial Intelligence (AI)-enabled, image-centered, multimodal Clinical Decision Support (CDS) tools into clinical applications. These tools, developed as Software as a Medical Device, are intended to address unmet health challenges within precision medicine. The program seeks projects with high potential for demonstrable, positive impacts on patient outcomes and healthcare processes. All NIH Institutes and Centers are participating in this Common Fund initiative, covering a broad range of topics including neurology, vision, aging, alcohol use, biomedical imaging, child health, dental/oral/craniofacial research, substance use, mental health, and behavioral/social sciences. Applications are open to researc...

Abridge Expands AI Capabilities into Healthcare Revenue Cycle with New Pre-Bill Claim Review Tool

Abridge Expands AI Capabilities into Healthcare Revenue Cycle with New Pre-Bill Claim Review Tool

Abridge Expands AI Capabilities into Healthcare Revenue Cycle with New Pre-Bill Claim Review Tool

Omniscient Receives Third FDA Clearance for AI-Powered Deep Brain Stimulation Platform

Omniscient Receives Third FDA Clearance for AI-Powered Deep Brain Stimulation Platform

Omniscient, a company specializing in applying AI to brain connectomics, has secured its third 510(k) clearance from the U.S. Food and Drug Administration (FDA) for a new workflow within its Quicktome® platform. This new application, Quicktome Deep Brain (DB), extends the benefits of connectomic analysis to deep brain stimulation (DBS) procedures. The clearance marks Omniscient's entry into the neuromodulation market, specifically targeting the growing field of DBS. Quicktome DB aims to provide patient-specific insights for DBS lead placement by utilizing automated, FDA-cleared processing of individual patient imaging. This technology localizes leads, segments deep brain structures, and maps white matter tracts within the brain's networks, moving neurological care towards a more personalized approach. The platform is designed to be HIPAA-compliant and supports Abbott DBS systems, making personalized DBS programming accessible to a wider patient population.

AI Mental Health Apps Offer On-Demand, Low-Cost Support, Not a Replacement for Human Clinicians

AI Mental Health Apps Offer On-Demand, Low-Cost Support, Not a Replacement for Human Clinicians

AI mental health applications are utilizing conversational algorithms and behavioral data to deliver accessible and affordable therapy-like assistance. These apps provide 24/7 initial triage, mood tracking, and cognitive-behavioral exercises. While they offer convenience and support for mild-to-moderate depression, particularly through CBT-based exercises, they are not designed to replace human clinicians for individuals experiencing crises or complex mental health conditions. Users are advised to select apps that target specific symptoms, such as daily anxiety coping tools, sleep improvement, or structured CBT for depression, rather than 'all-purpose' applications. It is crucial for users to thoroughly vet the data privacy policies and clinical backing of these apps before use.