Healthcare

Google I/O Connect India 2026 showcased new AI initiatives across healthcare, education and digital infrastructure. The post Karnataka CM announces green data centre, plans AI university at Google I/O connect India appeared first on MEDIANAMA .

Samsung stellt klar: Die Ablehnung der KI-Datennutzung in Samsung Health führt nicht zum Löschen persönlicher Gesundheitsdaten oder zur Deaktivierung der Cloud.

The Trump administration is currently piloting a program in six states that expands Medicare prior authorizations using AI tools in an effort to reduce unnecessary medical spending. But it remains to be seen whether this new approach, which the administration has called “broken” in the private sector, will be effective without causing dangerous delays for Medicare recipients.

House Hearing Puts Med Schools in DEI Hot Seat kathryn.palmer… Wed, 07/15/2026 - 03:00 AM Republicans grilled administrators from medical schools at UCLA, UC San Francisco and the University of Illinois over their admissions policies and curricula. Democrats dismissed the hearing as political theater. Byline(s) Kathryn Palmer

Amid Cyclosporiasis Outbreak, University Researchers Lend Their Expertise Johanna Alonso Wed, 07/15/2026 - 03:00 AM Foodborne illness researchers are fielding a wide range of requests to answer questions about the disease and the parasite that causes it, drawing attention to the role of academia in public health emergencies. Byline(s) Johanna Alonso

Funding round sees Neko Health’s valuation jump fourfold to almost $7bn for Spotify founder

arXiv:2607.12336v1 Announce Type: cross Abstract: Artificial Intelligence (AI) technologies, while serving as a foundational enabler for modern social media and digital health services, exert a bivalent effect by simultaneously acting as a combatant against and a spread vector for misinformation. A prevalent challenge in mitigating this issue arises in non-English contexts and low socioeconomic classes, where limited data hinders the training of AI models for effective detection. Consequently, c

arXiv:2512.01241v4 Announce Type: replace Abstract: Large language models (LLMs) and medical AI tools are routinely used by physicians and patients for medical advice, yet their clinical safety profiles remain poorly characterized. We present NOHARM (Numerous Options Harm Assessment for Risk in Medicine), a 1,100-task benchmark of primary care-to-specialist consultation cases to measure the frequency and severity of potentially harmful errors from LLM-generated medical consultation recommendatio

In bandit problems, standard regret-minimizing algorithms treat exploration as an amortized cost, which can expose early participants to unfair ex-ante losses in settings such as clinical trials. Recent work addresses this by evaluating the sequence of per-round expected rewards through the generalized $p$-mean, interpolating between utilitarian welfare ($p=1$), Nash welfare ($p\to0$), and Rawlsian fairness ($p\to-\infty$). Although tight guarantees are known for $p\ge0$, the strictly fair regim

Big Data & Society, Volume 13, Issue 3, July-September 2026. Data-intensive health research requires robust infrastructure, encompassing the material, social, and institutional structures that facilitate large-scale data storage, sharing, and linkage. Such infrastructures are a central element of the research ...

The funding discussions point to investor interest in applying AI to make breakthroughs in life sciences.

Positive margins in head and neck oncologic surgery require mapping specimen-side pathology findings to the patient resection bed. This is challenging because pathologists identify the positive margin on slices of the resected, deformed specimen, while surgeons must relocate the corresponding site on the resection bed using only verbal descriptions and no visual guidance. We present a marker-free augmented reality (AR) workflow for mapping a margin label from a three-dimensional specimen scan to

Artificial intelligence (AI), particularly machine learning (ML) systems, is increasingly used in mental healthcare to support diagnosis and treatment. These systems analyse large datasets—including speech patterns, social media activity, and biometric indicators—to detect conditions such as depression and anxiety. Although often framed as objective and clinically neutral, these technologies embed epistemic and cultural assumptions derived largely from Global North contexts. This paper advances

Artificial Intelligence (AI) has the potential to revolutionize medicine, particularly in the field of cardiology. There are significant diagnostics and treatments variabilities in the field of cardiovascular medicine that affects racial and ethnic racially and ethnically diverse populations as well as female patients across all age groups. The efforts put forth towards the development of AI and precision medicine within the cardiovascular practice do not fully account for existing variations in

Honey will help collaborate with the agency’s Health IT office as part of the new role. The post NIH taps former data chief Kristen Honey as first partnerships officer appeared first on FedScoop .

A study on Biogen's diranersen found it slowed cognitive decline and has promise in treating Alzheimer's disease, researchers found.

Anthropic is committing $10 million CAD to eight Canadian research institutions to fund work on beneficial and responsible AI applications. The partnerships span Canada’s three leading regional AI institutes, Amii in Edmonton, Mila in Montréal, and the Vector Institute in Toronto, along with children’s hospital CHEO, the Centre for Addiction and Mental Health, Université Laval, […] This story continues at The Next Web

Background: Virtual health care models, such as (HaH), are an alternative to in-person care and allow hospitals to expand care capacity and delivery without the need for additional brick-and-mortar structures. While generally well received, there is an overall lack of awareness among those receiving and giving care about what HaH is and what it does, and uncertainty about the conditions needed to implement HaH in a safe, sustainable, and equitable way. Objective: In this descriptive qualitative

Background: Artificial intelligence (AI)–generated lifestyle recommendations are increasingly used to support health behavior change. However, AI advice does not necessarily mean that users will accept or adopt those recommendations. Although prior reviews have examined AI-enabled lifestyle interventions and health behavior technologies, fewer have focused on whether users accept and adopt AI-generated recommendations. Objective: This scoping review aimed to map user acceptability and adoption o

Meta denies using AI to terminate workers with disabilities and medical problems.

Healthcare spans high-stakes communication, expert reasoning, and workflow execution, yet specialized LLMs that cover these use cases together remain limited. A healthcare model must handle patient consultation, clinical reasoning over text and images, interactive diagnosis, and electronic health record (EHR) tool use. These capabilities fail in different ways, and a narrow update for one task can degrade another. We present Cura 1T, a healthcare-specialized LLM trained through a human-gated sel

Agentic language models must learn when to call tools, when to consume tool responses, and when to answer directly. This makes multi-teacher on-policy distillation a natural training strategy: one teacher can specialize in tool calls, another in direct responses, and the student can learn from both on its own generated distribution. We show that this strategy can induce a behavior shift that is invisible from aggregate losses alone. In a two-teacher tool-use setting, vanilla generalized knowledg

NOMINATIONS SENT TO THE SENATE: Maria D’Avanzo, of New York, to be Inspector General, General Services Administration. David Slade, of Florida, to be First Vice President of the Export-Import Bank of the United States for a term expiring January 20, 2029. Timothy Westlake, of Wisconsin, to be Assistant Secretary for Mental Health and Substance Use, Department […] The post Nominations and Withdrawals Sent to the Senate appeared first on The White House .

Background: Generative artificial intelligence (AI) has the potential to impact health care by transforming workflows and improving outcomes. Patient-centered clinical decision support (PC CDS) are digital tools that use patient-specific information and patient-centered outcomes research to improve health care decision-making. Generative AI is increasingly being incorporated into PC CDS tools. As patient-facing digital tools continue to expand within the health ecosystem, it is important to gath

Attention-based KV cache eviction (H2O and its descendants) compresses the memory-constrained state of a long-context model by ranking tokens on accumulated attention mass, treated here as signal energy, and keeping the heaviest. On schema-dense input streams such as nested JSON, this score acts as a non-stationary filter that disproportionately retains noise: a non-content sink role (delimiters or whitespace) carries an order of magnitude more energy than any content role, and structural KEY to

Twenty-six current and former Meta employees have filed a federal lawsuit accusing the company of using AI-powered systems that disproportionately targeted workers with disabilities or who had taken medical leave when selecting people for mass layoffs. The suit, filed Monday in Oakland, California, alleges that Meta relied on productivity metrics and AI token usage data […] This story continues at The Next Web

Publication date: September 2026 Source: Futures, Volume 182 Author(s): Delia Mangelkramer, Marlen Niederberger, Sebastian Sterl, Michael Häder, Lars Gerhold

Publication date: November 2026 Source: Computers in Human Behavior, Volume 184 Author(s): Nhan Duc Nguyen, Ngoc-Anh Truong, Pham Quang Dao, Huan Hong Nguyen

Publication date: October–November 2026 Source: International Journal of Human-Computer Studies, Volume 215 Author(s): Federico Cabitza, Lucia Vicente

Publication date: November 2026 Source: Computers in Human Behavior, Volume 184 Author(s): Shih-I Tai, Thi Tuan Linh Pham, Tzu-Ling Huang, Alexander S. Dennis, Chun-Hao Liu, Gen-Yih Liao, Ching-I Teng

Publication date: August 2026 Source: Technology in Society, Volume 87 Author(s): Wolfgang Aschauer, Florian Nemetz, Christopher Etter, Jürgen Osterbrink, Patrick Kutschar

Publication date: December 2026 Source: Computers and Education: Artificial Intelligence, Volume 11 Author(s): Yicong Liang, Di Zou, Haoran Xie, Fu Lee Wang

Publication date: August 2026 Source: Technology in Society, Volume 87 Author(s): Yousra Bakr, Hakim Meshreki, Mennatallah ElKashif

Publication date: December 2026 Source: Computers and Education: Artificial Intelligence, Volume 11 Author(s): Liyuan Jia, Ke Dong

Publication date: October 2026 Source: Technological Forecasting and Social Change, Volume 231 Author(s): Pei-Hsuan Tsai, Wen-Hsuan Lo

Publication date: June 2026 Source: Computers and Education: Artificial Intelligence, Volume 10 Author(s): Chang Cai, Minyang Chow, Ruth Choe, Faith Chia Li-Ann, Jennifer Anne Cleland, Xiuyi Fan

Publication date: June 2026 Source: Computers and Education: Artificial Intelligence, Volume 10 Author(s): Ailing Yang, Ling Lin, Hu Zhang, Rong Su, Yunfei Li

Publication date: September 2026 Source: Research Policy, Volume 55, Issue 7 Author(s): Richard T. Thakor, Andrew W. Lo

2027 11th International Conference on Medical and Health Informatics (ICMHI 2027) [Kyoto, Japan] [May 28, 2027 - May 30, 2027]