<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>AI in Healthcare</title><description>Independent reporting and analysis on AI in healthcare — articles, news, and conferences.</description><link>https://aihealthcarenewstoday.com/</link><language>en-us</language><item><title>The evidence base for AI-assisted radiology in 2026 — what CADe/CADt clearances since 2023 actually show</title><link>https://aihealthcarenewstoday.com/articles/ai-assisted-radiology-evidence-cade-cadt-cleared-since-2023/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/articles/ai-assisted-radiology-evidence-cade-cadt-cleared-since-2023/</guid><description>Large-vessel-occlusion triage, chest X-ray, mammography, and colonoscopy AI have generated the deepest peer-reviewed evidence base in clinical AI. Here is what the studies actually say.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>radiology</category><category>imaging</category><category>CADe</category><category>CADt</category><category>FDA</category><category>clinical-ai</category><category>evidence</category><category>mammography</category><category>colonoscopy</category><category>stroke</category><author>AI in Healthcare Editorial</author></item><item><title>AI in behavioral health: chatbots, triage, and where the guardrails need to be</title><link>https://aihealthcarenewstoday.com/articles/ai-in-behavioral-health-2026/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/articles/ai-in-behavioral-health-2026/</guid><description>Woebot-style CBT chatbots, Talkspace-style hybrid platforms, suicide-risk detection, and the evidence base as of 2026 — plus the guardrails behavioral-health AI still routinely gets wrong.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>behavioral-health</category><category>mental-health</category><category>chatbot</category><category>CBT</category><category>suicide-risk</category><category>guardrails</category><category>Woebot</category><category>Talkspace</category><category>evidence-base</category><author>AI in Healthcare Editorial</author></item><item><title>Ambient AI scribes in 2026 — where adoption, evidence, and clinician burnout data actually stand</title><link>https://aihealthcarenewstoday.com/articles/ambient-ai-scribes-2026-adoption-evidence/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/articles/ambient-ai-scribes-2026-adoption-evidence/</guid><description>Ambient scribes have moved from pilots to enterprise deployment across most large U.S. health systems. Where evidence, adoption, and the clinician-burnout signal actually sit mid-2026.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>ambient-AI</category><category>ambient-scribe</category><category>documentation</category><category>clinician-burnout</category><category>clinical-ai</category><category>epic</category><category>kaiser</category><category>VA</category><author>AI in Healthcare Editorial</author></item><item><title>Ambient AI in the OR — surgical video, note capture, and workflow integration</title><link>https://aihealthcarenewstoday.com/articles/ambient-ai-scribes-in-the-or/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/articles/ambient-ai-scribes-in-the-or/</guid><description>The OR is a different environment for ambient AI than the clinic. Surgical-video AI, intra-op scribing, and where the CPT and workflow shifts are landing.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>ambient-AI</category><category>surgery</category><category>surgical-video</category><category>OR</category><category>CPT</category><category>workflow</category><category>perioperative</category><category>ambient-scribe</category><author>AI in Healthcare Editorial</author></item><item><title>Clinical decision support in 2026: FDA-regulated vs. Cures-Act-exempt — decoding the line</title><link>https://aihealthcarenewstoday.com/articles/clinical-decision-support-fda-vs-cures-act/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/articles/clinical-decision-support-fda-vs-cures-act/</guid><description>The 21st Century Cures Act CDS exclusion decides whether clinical software is a device. FDA guidance since 2022 has narrowed that line — and clinical LLMs are the wedge.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>clinical-decision-support</category><category>CDS</category><category>FDA</category><category>21st-Century-Cures-Act</category><category>regulation</category><category>SaMD</category><category>LLM</category><category>compliance</category><author>AI in Healthcare Editorial</author></item><item><title>Epic vs Oracle Health in 2026 — how the two big EHRs are actually shipping AI</title><link>https://aihealthcarenewstoday.com/articles/epic-vs-oracle-health-ai-2026/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/articles/epic-vs-oracle-health-ai-2026/</guid><description>Epic Cosmos, embedded copilots, and the App Orchard on one side; Oracle Fusion Analytics, the Clinical AI Agent, and a slower rebuild on the other. What each vendor is actually delivering in 2026.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>epic</category><category>oracle-health</category><category>health-system</category><category>copilot</category><category>governance</category><category>enterprise</category><category>clinical-ai</category><category>operations</category><author>AI in Healthcare Editorial</author></item><item><title>The FDA&apos;s PCCP guidance in 2026 — what actually changed for AI/ML-enabled devices</title><link>https://aihealthcarenewstoday.com/articles/fda-pccp-guidance-2026/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/articles/fda-pccp-guidance-2026/</guid><description>The Predetermined Change Control Plan is the FDA&apos;s answer to the update problem for AI/ML devices. Two years in, here is what the guidance means in practice and where it still falls short.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>FDA</category><category>PCCP</category><category>regulation</category><category>AI/ML</category><category>SaMD</category><category>510k</category><category>clinical-ai</category><author>AI in Healthcare Editorial</author></item><item><title>What mature health-system AI governance actually looks like — Mayo, Kaiser, Mass General Brigham</title><link>https://aihealthcarenewstoday.com/articles/health-system-ai-governance-mature-programs/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/articles/health-system-ai-governance-mature-programs/</guid><description>Three of the most-cited AI-governance programs in U.S. healthcare have published enough of their processes that patterns are visible. What mature looks like, and what most systems miss.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>governance</category><category>health-system</category><category>mayo</category><category>kaiser</category><category>mass-general-brigham</category><category>clinical-ai</category><category>RUAIH</category><category>CMIO</category><author>AI in Healthcare Editorial</author></item><item><title>HIPAA + LLMs in 2026: BAAs, PHI handling, and the model-vendor landscape</title><link>https://aihealthcarenewstoday.com/articles/hipaa-llms-baa-phi-vendor-landscape/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/articles/hipaa-llms-baa-phi-vendor-landscape/</guid><description>Which frontier-model vendors will sign a Business Associate Agreement, what their PHI-handling terms actually say, and what deployment architectures keep clinical LLMs on the right side of HIPAA.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>HIPAA</category><category>BAA</category><category>LLM</category><category>clinical-LLM</category><category>PHI</category><category>compliance</category><category>OpenAI</category><category>Anthropic</category><category>Google</category><category>Azure</category><category>vendor-landscape</category><author>AI in Healthcare Editorial</author></item><item><title>AI safety incidents in healthcare — what RUAIH, MAUDE, and MedWatch are starting to show</title><link>https://aihealthcarenewstoday.com/articles/joint-commission-ruaih-safety-incidents/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/articles/joint-commission-ruaih-safety-incidents/</guid><description>The first year of RUAIH certification plus the growing MAUDE and MedWatch signal are starting to show how AI-enabled devices fail in production. What the data actually says.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>safety</category><category>RUAIH</category><category>MAUDE</category><category>MedWatch</category><category>governance</category><category>FDA</category><category>joint-commission</category><category>clinical-ai</category><author>AI in Healthcare Editorial</author></item><item><title>Medicare and AI in 2026 — what CMS is (and isn&apos;t) paying for</title><link>https://aihealthcarenewstoday.com/articles/medicare-ai-reimbursement-2026/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/articles/medicare-ai-reimbursement-2026/</guid><description>NTAP add-on payments, Category-III CPT codes, MAC-level Local Coverage Determinations, and the MedPAC signal. What CMS is paying for AI in 2026 — and what it isn&apos;t.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>medicare</category><category>CMS</category><category>reimbursement</category><category>NTAP</category><category>CPT</category><category>LCD</category><category>MedPAC</category><category>payer</category><category>policy</category><category>clinical-ai</category><author>AI in Healthcare Editorial</author></item><item><title>Patient-facing clinical LLMs — safety guardrails and the FDA&apos;s evolving stance</title><link>https://aihealthcarenewstoday.com/articles/patient-facing-clinical-llms-fda-stance/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/articles/patient-facing-clinical-llms-fda-stance/</guid><description>A patient is not a clinician. That single fact is reshaping how the FDA looks at LLM-based products that talk directly to patients, and what health systems can safely deploy.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>FDA</category><category>LLM</category><category>patient-facing</category><category>clinical-LLM</category><category>SaMD</category><category>guardrails</category><category>regulation</category><category>Cures-Act</category><author>AI in Healthcare Editorial</author></item><item><title>Prior authorization AI — the payer battle and CMS&apos;s 2026 interoperability rule</title><link>https://aihealthcarenewstoday.com/articles/prior-authorization-ai-cms-interoperability-rule-2026/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/articles/prior-authorization-ai-cms-interoperability-rule-2026/</guid><description>CMS&apos;s Interoperability and Prior Authorization Final Rule, state-level PA reform, algorithmic-denial litigation, and the provider-side automation counterplay. Where the payer AI fight actually stands.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>CMS</category><category>prior-authorization</category><category>payer-AI</category><category>regulation</category><category>interoperability</category><category>FHIR</category><category>litigation</category><category>policy</category><author>AI in Healthcare Editorial</author></item><item><title>Voice AI in patient access: the 2026 landscape</title><link>https://aihealthcarenewstoday.com/articles/voice-ai-patient-access-2026-landscape/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/articles/voice-ai-patient-access-2026-landscape/</guid><description>Assort Health, Hippocratic AI, Innovaccer&apos;s voice suite, and the specialty and payer entrants — the products, deployment patterns, and ROI stories behind healthcare&apos;s biggest voice-AI wave.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>voice-AI</category><category>patient-access</category><category>call-center</category><category>Assort</category><category>Hippocratic-AI</category><category>Innovaccer</category><category>LLM</category><category>front-desk</category><category>workflow</category><category>copilot</category><category>operations</category><author>AI in Healthcare Editorial</author></item><item><title>FDA grants Breakthrough Device Designation to Aidoc&apos;s First Read, a generative-AI radiology report drafter</title><link>https://aihealthcarenewstoday.com/news/aidoc-first-read-fda-breakthrough-designation/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/news/aidoc-first-read-fda-breakthrough-designation/</guid><description>First Read (Q260882) analyzes chest radiographs and drafts preliminary report text for four life-threatening findings for radiologist review. It is Aidoc&apos;s second Breakthrough Designation in under a year, built on the same CARE foundation-model architecture as its FDA-cleared Triage product. The device is not yet cleared; the designation puts it on the priority-review track.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>FDA</category><category>radiology</category><category>generative-AI</category><category>Aidoc</category><category>breakthrough-designation</category><author>AI in Healthcare Editorial</author></item><item><title>Assort Health raises $120M Series C at $1.2B valuation to scale voice AI across the patient journey</title><link>https://aihealthcarenewstoday.com/news/assort-health-120m-series-c-voice-ai/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/news/assort-health-120m-series-c-voice-ai/</guid><description>Menlo Ventures led the round with Lightspeed, Felicis, First Round, Chemistry, Tau Ventures, and Quiet Capital participating. Assort has now raised $222M+ total. The platform has expanded beyond specialty scheduling into intake, referrals, document handling, medication refills, real-time eligibility, lab requests, and payments, trained on 190M+ patient interactions across 62,000 care protocols.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>funding</category><category>voice-AI</category><category>agents</category><category>operations</category><category>patient-journey</category><author>AI in Healthcare Editorial</author></item><item><title>CMS stands up the Office of Health Technology and Products with an enterprise AI mandate</title><link>https://aihealthcarenewstoday.com/news/cms-office-health-technology-products/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/news/cms-office-health-technology-products/</guid><description>HHS Secretary approved the OHTP on June 9, effective the same day, with responsibility for enterprise AI strategy across CMS digital products and platforms, plus Medicare claims systems modernization, interoperability policy, and an Open Source Program group. Amy Gleason leads the office as CMS deputy administrator and chief product officer.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>CMS</category><category>policy</category><category>governance</category><category>interoperability</category><category>federal</category><author>AI in Healthcare Editorial</author></item><item><title>Provect AI wins FDA 510(k) clearance for 3D intraoperative imaging from standard C-arm x-rays, raises $7M</title><link>https://aihealthcarenewstoday.com/news/provect-ai-fda-clearance-3d-c-arm/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/news/provect-ai-fda-clearance-3d-c-arm/</guid><description>The software reconstructs volumetric 3D images from 2D C-arm data without a CT scanner, additional hardware, or workflow changes, and exports DICOM for hospital PACS and third-party navigation systems. Cleared for spine and orthopedic image-guided procedures. Alongside the clearance, Arteria Capital and ValueStream Ventures led a $7M round with Newfund and Sand Hill Angels.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>FDA</category><category>surgical-imaging</category><category>orthopedics</category><category>spine</category><category>device</category><author>AI in Healthcare Editorial</author></item><item><title>Viz.ai extends into neurodegenerative disease with Cortechs.ai partnership, starting with MS</title><link>https://aihealthcarenewstoday.com/news/vizai-cortechs-neuroquant-ms-partnership/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/news/vizai-cortechs-neuroquant-ms-partnership/</guid><description>Viz.ai will integrate Cortechs.ai&apos;s NeuroQuant and NeuroQuant MS quantitative MRI analysis into the Viz Neuro Suite, beginning with multiple sclerosis. The partnership pairs quantitative volumetric brain analysis with Viz.ai&apos;s care-coordination workflow, and Viz.ai signaled more neurodegenerative-disease product news to follow.</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>neurology</category><category>multiple-sclerosis</category><category>MRI</category><category>Viz.ai</category><category>care-coordination</category><author>AI in Healthcare Editorial</author></item><item><title>Joint Commission launches voluntary Responsible Use of AI in Healthcare (RUAIH) certification</title><link>https://aihealthcarenewstoday.com/news/joint-commission-ruaih-certification/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/news/joint-commission-ruaih-certification/</guid><description>The first US healthcare-specific AI governance certification. RUAIH assesses organizations — not individual AI products — against five domains: governance, data management, risk and bias reduction, safety/effectiveness monitoring, and transparency/education. Any healthcare organization can apply, whether or not they&apos;re currently Joint Commission accredited. This is the delivered version of the guidance Joint Commission and CHAI released together in September 2025.</description><pubDate>Fri, 03 Jul 2026 00:00:00 GMT</pubDate><category>governance</category><category>certification</category><category>assurance</category><category>CHAI</category><author>AI in Healthcare Editorial</author></item><item><title>NEJM AI: swarm learning matches centralized training for surgical-video AI across six international centers</title><link>https://aihealthcarenewstoday.com/news/nejm-ai-swarm-learning-surgical-video/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/news/nejm-ai-swarm-learning-surgical-video/</guid><description>Saldanha et al. show that a decentralized, privacy-preserving pipeline combining weakly supervised deep learning with Swarm Learning produces patient-level predictions on laparoscopic appendectomy videos that are on par with centralized training — across three disease staging tasks, six institutions, and jurisdictions with incompatible data-sharing regimes. A meaningful proof point that clinical-AI training does not require pooling raw patient data in one place.</description><pubDate>Fri, 03 Jul 2026 00:00:00 GMT</pubDate><category>NEJM</category><category>research</category><category>surgery</category><category>federated-learning</category><category>privacy</category><author>AI in Healthcare Editorial</author></item><item><title>Pathway Labs&apos; EchoNext gets FDA clearance for multicondition structural heart disease detection from routine ECGs</title><link>https://aihealthcarenewstoday.com/news/pathway-labs-echonext-fda-cardiology/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/news/pathway-labs-echonext-fda-cardiology/</guid><description>The NewYork-Presbyterian / Columbia-developed model reads standard 12-lead ECGs to flag six structural heart conditions — including right- and left-sided heart failure, valve disease, and pulmonary hypertension — that clinicians typically miss until patients are symptomatic. Trained on 700,000+ paired ECG/echo cases and validated across 20+ hospitals and 500,000 patients. Pathway is bundling access through OpenEvidence, which reaches roughly half of US clinicians.</description><pubDate>Fri, 03 Jul 2026 00:00:00 GMT</pubDate><category>FDA</category><category>cardiology</category><category>ECG</category><category>screening</category><category>devices</category><author>AI in Healthcare Editorial</author></item><item><title>Trase raises $107M seed to scale AI agents inside healthcare back offices</title><link>https://aihealthcarenewstoday.com/news/trase-107m-seed-agentic-back-office/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/news/trase-107m-seed-agentic-back-office/</guid><description>ARCH Venture Partners led an unusually large seed round for Trase&apos;s agentic operating system for regulated industries. Its live deployment inside Duke University Health System&apos;s Division of Cardiology automates the 5,000+ faxes the clinic receives per month — routing triage runs 7.1x faster than manual sorting and reclaims roughly $285K/year of medical-assistant and nurse capacity that Duke says it&apos;s redeploying to patient-facing work rather than headcount cuts.</description><pubDate>Fri, 03 Jul 2026 00:00:00 GMT</pubDate><category>funding</category><category>agents</category><category>operations</category><category>Duke</category><category>cardiology</category><author>AI in Healthcare Editorial</author></item><item><title>First FDA clearance for a patient-facing clinical LLM: UpDoc launches into insulin titration</title><link>https://aihealthcarenewstoday.com/news/updoc-fda-clearance-patient-facing-llm/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/news/updoc-fda-clearance-patient-facing-llm/</guid><description>UpDoc announced FDA clearance for what it bills as the first patient-facing clinical AI platform — a Software as a Medical Device narrowly scoped to insulin titration in adult type 2 diabetes, cleared via a drug-dose-calculator predicate. Initial deployments are at Cleveland Clinic, Allegheny Health Network, and UCSF. STAT&apos;s coverage flags the open regulatory questions raised by clearing a generative-AI product against a legacy predicate.</description><pubDate>Fri, 03 Jul 2026 00:00:00 GMT</pubDate><category>FDA</category><category>LLM</category><category>diabetes</category><category>SaMD</category><category>STAT</category><author>AI in Healthcare Editorial</author></item><item><title>The VA&apos;s ambient-scribe rollout is the largest U.S. clinical-AI deployment in production. The results, eight months in, are unusually clean.</title><link>https://aihealthcarenewstoday.com/articles/va-ambient-ai-scribe-nationwide-2026/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/articles/va-ambient-ai-scribe-nationwide-2026/</guid><description>Ambient AI scribes are expanding from pilot to nationwide deployment across all VA medical centers in 2026. The published evaluation is one of the most rigorous on any clinical-AI category to date.</description><pubDate>Fri, 19 Jun 2026 00:00:00 GMT</pubDate><category>VA</category><category>ambient-ai</category><category>documentation</category><category>deployment</category><author>AIH Editorial</author></item><item><title>Payers are now naming clinical AI as a top cost driver. The 2027 PwC numbers are uncomfortable for everyone.</title><link>https://aihealthcarenewstoday.com/articles/pwc-health-plans-ai-billing-cost-inflator-2027/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/articles/pwc-health-plans-ai-billing-cost-inflator-2027/</guid><description>Nearly 70% of health plans surveyed by PwC put AI-enabled documentation and coding in the top three inflators for 2027. That changes the political economy of clinical AI fast.</description><pubDate>Wed, 17 Jun 2026 00:00:00 GMT</pubDate><category>payers</category><category>reimbursement</category><category>ambient-ai</category><category>policy</category><author>AIH Editorial</author></item><item><title>CMS&apos;s ACCESS model launches in July. It is the first time Medicare has tried to pay for AI-managed chronic care at scale.</title><link>https://aihealthcarenewstoday.com/articles/cms-access-model-launches-july-2026/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/articles/cms-access-model-launches-july-2026/</guid><description>The new CMMI model pays for outcomes, not activities, in technology-supported chronic care — and explicitly names AI diagnostics as part of the ecosystem it is trying to build.</description><pubDate>Fri, 12 Jun 2026 00:00:00 GMT</pubDate><category>CMS</category><category>reimbursement</category><category>chronic-care</category><category>policy</category><author>AIH Editorial</author></item><item><title>The NHS just signed up 505,000 staff for Microsoft 365 Copilot. The interesting numbers are in the pilot.</title><link>https://aihealthcarenewstoday.com/articles/nhs-microsoft-365-copilot-505000-staff/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/articles/nhs-microsoft-365-copilot-505000-staff/</guid><description>NHS England&apos;s £120 million Copilot deal is the largest healthcare AI deployment ever signed. The 43-minute-a-day claim is the headline; the trial methodology is what to read carefully.</description><pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate><category>NHS</category><category>copilot</category><category>productivity</category><category>policy</category><author>AIH Editorial</author></item><item><title>Mayo Clinic and Microsoft&apos;s &apos;frontier model&apos; is the first big bet on a single-institution clinical LLM. The model card will matter more than the launch.</title><link>https://aihealthcarenewstoday.com/articles/microsoft-mayo-clinic-frontier-model/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/articles/microsoft-mayo-clinic-frontier-model/</guid><description>A Mayo-owned, Microsoft-built foundation model for healthcare is a real strategic shift. Whether it lands depends on questions the June 2 announcement deliberately did not answer.</description><pubDate>Thu, 04 Jun 2026 00:00:00 GMT</pubDate><category>foundation-models</category><category>mayo</category><category>microsoft</category><category>clinical-llm</category><author>AIH Editorial</author></item><item><title>The FDA&apos;s AI-enabled device list quietly passed 1,000 — what that actually means for clinicians</title><link>https://aihealthcarenewstoday.com/articles/fda-ai-enabled-device-list-passes-1000/</link><guid isPermaLink="true">https://aihealthcarenewstoday.com/articles/fda-ai-enabled-device-list-passes-1000/</guid><description>More than a thousand AI-enabled medical devices now carry FDA authorization. The headline is striking; the operational reality is more uneven.</description><pubDate>Wed, 27 May 2026 00:00:00 GMT</pubDate><category>FDA</category><category>regulation</category><category>imaging</category><category>clinical-ai</category><author>AIH Editorial</author></item></channel></rss>