All articles tagged with #ai in healthcare
Small language models (SLMs) offer a scalable, practical alternative to large language models for medical tasks, enabling broader real-world deployment across diverse clinical settings, but they trade off some accuracy and robustness and require careful evaluation, domain adaptation, and governance to address safety and integration challenges.
East Kent Hospitals NHS Trust is deploying MEMORI, an AI tool from Sanome, to analyze routine patient data (blood tests, vitals, medications, and demographics) and generate an infection risk score, enabling clinicians to spot hospital-acquired infections early and act sooner, while staff remain central to care; the system is designed to support clinicians, improve care and bed flow, and is part of the NHS's digital healthcare push.
Kaiser Permanente rolled out Abridge, an ambient-listening AI scribe intended to ease clinician documentation by recording entire visits, including sensitive mental-health sessions. Providers say consent discussions are vague about data handling, storage, and access, and some feel pressured to use the tool to meet workload demands, raising concerns about coercion and privacy. Kaiser asserts patients consent is obtained, recordings are kept up to 14 days, and data aren’t used to train AI models, but privacy advocates warn that mental-health data are especially sensitive and can be misused in employment, immigration, or custody matters, underscoring the need for clearer disclosures and opt-out clarity.
A 32-year-old Brazilian woman died after a state AI system for bed allocation allegedly scored her condition too low, delaying ICU transfer by five days; her family says the inflexible Core-MG system reduced clinician autonomy, while officials maintain transfers are based on bed availability and that Core-MG does not change transfer protocols.
Sutter Health and Santa Clara University announced the Mark & Mary Stevens School of Medicine, the Bay Area's first new medical school in over a century, funded by a $175 million gift from Mary Stevens and Mark Stevens. The school will be embedded within Sutter Health's integrated health system, combining education, research, and patient care, and will leverage Santa Clara University's AI and ethics initiatives; the inaugural class will follow a multi-year accreditation process, and construction is underway for a new 272-bed, eight-story medical center by 2031.
UnitedHealth said it will stop requiring approvals for a range of tests, surgeries and therapies, using AI to automate or eliminate prior authorizations for items like echocardiograms and certain outpatient services. The move aims to cut required authorizations by nearly a third this year and speed access to care, noting that prior authorizations currently apply to about 2% of services and most approvals occur within 24 hours. The policy shift signals how AI could reshape the financial side of healthcare across Medicare, Medicaid and employer plans.
Penn researchers developed CAMEL, an AI system that analyzes hours of in-hospital ECG telemetry to forecast dangerous heart rhythms minutes before they occur, framing ECG signals like language to look for patterns that precede events. The goal is to provide earlier warnings (10–15 minutes) to improve care while avoiding false alarms, with plans to test real-time data in clinical settings and explore extending the approach to consumer wearables for broader monitoring.
Billionaire couple Michael and Susan Dell have donated more than $1 billion to UT Austin to fund an AI-native medical campus, including a $750 million gift for the UT Dell Medical Center set to open in 2030. The project will integrate research, clinical care and advanced computing with MD Anderson and the Texas Advanced Computing Center, aim to improve early detection and personalized treatment, and support a broader $10 billion fundraising campaign; officials caution about AI bias in healthcare.
AI tools like ChatGPT are increasingly used for health questions, offering quick access to information when a doctor isn’t available, but experts warn they’re not a substitute for professional care and emphasize risks of misdiagnosis, the importance of input quality, and the need for guardrails and regulation.
Boston-based Clairity, led by radiologist Dr. Connie Lehman, has FDA authorization to use an AI system that analyzes mammograms to predict a woman's risk of developing breast cancer, enabling preventive actions and tailored screening. Trained on over 400,000 mammograms with five-year follow-ups and tested on 77,000 images, the deep neural network outperformed traditional risk calculators and could expand to younger ages and more diverse populations, though the model remains a 'black box' in parts; investors include ACE Global Equity and Santé Ventures as Boston's health-tech scene grows.
R. Scott Gemmill discusses the success and direction of 'The Pitt' Season 2, highlighting its focus on AI, healthcare costs, character development, and the show's renewal for a third season, while reflecting on the challenges of maintaining authenticity and storytelling in a medical drama.
In 2025, AI was widely adopted across various sectors including healthcare, legal, employment, education, and agriculture, transforming how services are delivered, improving efficiency, and fostering innovation worldwide.
The article highlights positive developments in 2025, including the large-scale production of compostable plastics made from sugar cane, innovative programs creating 'pop-up' wetlands to aid migratory birds, new methods to improve disagreement resolution, and advances in AI that are transforming healthcare diagnostics, all contributing to a more hopeful outlook for the year.
By 2026, advances in AI and aging science will enable precision medical forecasting, allowing for early prediction and prevention of major age-related diseases like cancer, cardiovascular, and neurodegenerative conditions through comprehensive data analysis and personalized interventions.
Pope Leo XIV emphasizes the importance of ensuring that AI in healthcare enhances human dignity and relationships, warning against technology replacing personal care and urging responsible use and international collaboration.