Technology — older stories
108 stories beyond the latest 40.
- 041TechnologySource · MedCity News
The Healthcare Cloud Maturity Model: The Five Stages Most Health Systems Skip
A framework outlines five stages of healthcare cloud maturity, addressing a common industry misconception that cloud adoption is binary rather than progressive. Each stage unlocks new capabilities, and health systems often skip intermediate phases, leading to cost overruns and capability gaps. The model provides guidance for IT leaders planning cloud strategy and deployment.
- 042TechnologySource · MedCity News
Spotting Alzheimer’s Years Earlier Through AI and Clinically Meaningful Insights
Researchers have developed an AI-based diagnostic approach using digital tablet interaction and speech analysis to detect Alzheimer's disease patterns earlier than traditional methods like advanced imaging or prolonged clinical observation. The technology reduces detection time and may identify cases previously undetectable through conventional means.
- 043TechnologySource · Medical Design & Outsourcing
Researchers complete first-of-its-kind vagus nerve anatomical map
Researchers at Northwell Health's Feinstein Institutes have completed a comprehensive anatomical map of the human vagus nerve, detailed enough to guide development of next-generation neuromodulation and bioelectronic medicine devices. The dataset provides the most detailed reconstruction of vagus nerve anatomy to date, intended to support innovation in device design and therapeutic applications targeting nerve stimulation.
- 044TechnologySource · Medical Design & Outsourcing
Electroninks and SIIX expand additive EMI shielding work
Electroninks and SIIX announced an expanded collaboration to advance additive EMI shielding capabilities. SIIX's new spray coating environment will support prototype trials for a range of products, with the partners working with customers to establish coating processes. The work focuses on metal complex inks for additive manufacturing applied to electromagnetic interference shielding in medical device production.
- 045TechnologySource · MedCity News
How AI Inside Clinical Workflows Is Unlocking Patient Throughput
A MedCity News analysis examines how AI integrated directly into clinical workflows improves patient throughput by delivering relevant information at the point of care decision-making, rather than as standalone reporting tools. The piece emphasizes that workflow integration—not raw AI capability—determines clinical and operational value for healthcare facilities.
- 046TechnologySource · Medical Design & Outsourcing
ITEN advances solid-state batteries for Class III implants
ITEN announced development of solid-state battery technology designed for Class III implantable medical devices. The batteries address energy density, safety, fast-charging, reliability, and miniaturization requirements specific to high-risk implants. The advancement targets next-generation implantable device designs requiring higher capacity and performance within size constraints.
- 047TechnologySource · Medical Device Network
New AHA report highlights Ultromics’ AI tool’s benefit in earlier heart failure diagnosis
The American Heart Association's Impact Report, generated through its AI Assessment Lab using independent clinical and imaging data, highlights benefits of Ultromics' AI tool for earlier heart failure diagnosis. The tool leverages AI to improve diagnostic timing and accuracy in cardiac assessment.
- 048TechnologySource · Medical Device Network
Navigating the engineering constraints involved in integrating sensors into remote patient monitoring devices – new report reveals
A report addresses engineering challenges in integrating sensors into remote patient monitoring devices, covering sensor integration, signal integrity, feedthrough reliability, and materials durability. The analysis targets suppliers and engineers developing homecare monitoring solutions.
- 049TechnologySource · Medical Design & Outsourcing
AI is moving inside the device. Who owns the clinical risk?
As AI capabilities integrate deeper into Class II and III medical devices, manufacturers face mounting questions about clinical risk ownership and accountability. The article examines how design and development decisions made years before deployment can create downstream trust and safety issues, and offers guidance for medtech teams to establish clear responsibility frameworks for AI-driven device outputs.
- 050TechnologySource · Medical Design & Outsourcing
How to Secure a Medical Device You Can’t Patch
Medical devices cleared for clinical use often remain in service for 15+ years while their embedded software ages without patches, creating security vulnerabilities. The article discusses challenges of securing long-lifecycle devices as new threats emerge, open-source components become outdated, and attack techniques evolve, with commentary on emerging AI tools for device protection.
- 051TechnologySource · MedCity News
The Same AI That Helps Patients Is Being Used to Attack Them, Hospital Exec Says
Hospital IT security leaders are grappling with dual-use AI risks as healthcare systems deploy machine learning for clinical care while adversaries exploit the same technologies for cyberattacks. Karen Habercoss, CISO at University of Chicago Medicine, discussed governance frameworks needed to manage AI-driven security threats targeting health systems and patient data.
- 052TechnologySource · MedCity News
The AI Tension in Healthcare: Patent Strategy, FDA Reality, and HIPAA Constraints
A MedCity News analysis examines how patent strategy, FDA regulation, and HIPAA privacy requirements create competing pressures for healthcare AI developers. The piece argues that vendors who align these three legal frameworks from inception—rather than addressing them sequentially—will gain competitive advantage in bringing AI-enabled medical devices and software to market.
- 053TechnologySource · Medical Design & Outsourcing
PTC introduces Onshape Labs for AI-driven product development
PTC announced Onshape Labs, an early-access program integrating AI into its cloud-based product development platform. The initiative enables engineering teams to evaluate emerging AI capabilities within design workflows, using real-time product data to automate tasks and improve design decisions. Broader availability is planned for summer 2024 via opt-in access.
- 054TechnologySource · Medical Design & Outsourcing
Designing SaMD for safety and rethinking risk management through system architecture
A Medtronic-authored piece examines software-as-a-medical-device (SaMD) safety design and risk management practices, proposing a workflow-centric, slice-based architectural approach to improve hazard visibility and traceability across the product lifecycle. The article discusses alignment with ISO 14971 standards and challenges in implementing effective controls despite established regulatory frameworks.
- 055TechnologySource · MedCity News
Answers at the Speed of Thought: Healthcare Analytics in the Era of Agentic AI
Healthcare organizations are adopting agentic AI systems that enable natural-language queries of clinical and operational data, moving beyond traditional spreadsheet-based analytics. These systems allow users to ask questions about denial patterns, safety profiles, and other metrics and receive direct answers. The shift reflects broader adoption of conversational AI interfaces in health IT workflows.
- 056TechnologySource · MedCity News
Off the Radar: How Unapproved AI Is Complicating Healthcare Cyber Risk
Healthcare organizations are deploying unapproved AI tools without visibility or oversight, creating hidden cybersecurity vulnerabilities that cannot be easily detected or managed. The proliferation of shadow AI—software not sanctioned by IT or security teams—expands the attack surface and complicates compliance and risk management across healthcare systems.
- 057TechnologySource · MedCity News
Why the Next Era of Sleep Medicine Depends on Better Diagnostics
Sleep medicine is shifting toward diagnostic approaches that identify the underlying drivers of apnea rather than just measuring frequency. This shift requires rethinking how and where sleep apnea testing occurs to better match patients with appropriate therapies, reflecting broader changes in diagnostic strategy and testing modalities within the specialty.
- 058TechnologySource · MedCity News
Preventing Medical Errors in Patient Identity Through Data Matching, VBC, and Interoperability Standards
A webinar sponsored by Verato brought together executives from Providence and Yale New Haven Health System to discuss patient identity data matching, vendor-based credentialing (VBC), and interoperability standards as mechanisms for reducing medical errors. The discussion addressed challenges in sharing electronic patient data across increasingly complex healthcare networks.
- 059TechnologySource · MedCity News
Brain Interfaces Don’t Need Surgery to Be Transformative – and the Distinction Is Now a Strategic One
Non-surgical brain-computer interfaces (BCIs) are increasingly matching the performance of surgical alternatives while reducing procedural risk, shifting the strategic landscape of BCI development. The distinction between surgical and non-surgical approaches now carries significant implications for vendors and adoption pathways in neurological device markets.
- 060TechnologySource · Medical Device Network
ALZAI reports validation of Alzheimer’s risk identification models
ALZAI Health announced validation of its AI-driven Alzheimer's disease risk identification models using data from over 1.1 million US patients. The models leverage machine learning to identify individuals at risk of cognitive decline, supporting early detection and intervention pathways in clinical and screening settings.
- 061TechnologySource · Medical Design & Outsourcing
Researchers say eye-tracking tech can help improve IV pump safety
Researchers at the University of Massachusetts Amherst are using eye-tracking technology to study how nurses interact with intravenous smart pumps, aiming to identify design flaws that contribute to medication errors. The approach offers a method to improve IV pump safety and usability by observing operator behavior during device use.
- 062TechnologySource · Medical Device Network
AdaptHealth discloses June cyberattack resulting in patient data exposure
AdaptHealth disclosed a cyberattack in June that exposed patient data after a third-party contractor's credentials were compromised within the company's cloud-based system. The breach highlights supply-chain security risks in cloud infrastructure used by medical equipment and homecare vendors.
- 063TechnologySource · MedCity News
Hospital Networks are Becoming Targets in Cyberwarfare, and They’re Unequipped to Deal With It
Hospital networks face mounting cybersecurity threats from state-sponsored and ideological actors, with healthcare leaders warning that traditional incident-response models are inadequate against adversaries seeking prolonged disruption rather than quick financial gain. The shift toward politically motivated attacks—distinct from ransomware-focused criminal groups—requires hospitals to rethink defense strategies and vendor partnerships around resilience and attribution.
- 064TechnologySource · Medical Device Network
Nitinol has become central to innovation in ablation therapies
Nitinol material is playing an increasingly central role in electrophysiology ablation catheter design, particularly as pulsed field ablation (PFA) technology gains clinical adoption. The material's properties enable improved precision steering and catheter control in ablation procedures, supporting innovation in the EP ablation market.
- 065TechnologySource · Medical Device Network
EAN 2026: MS Copilot shows promise in monitoring disability progression in MS
MS Copilot, a digital health tool for monitoring multiple sclerosis disability progression, showed correlation with the MSFC-4 clinical framework in a study presented at EAN 2026. The system uses AI-driven detection to track patient outcomes, offering potential for remote monitoring and clinical decision support in neurology care.
- 066TechnologySource · Medical Design & Outsourcing
July 2026 issue: Robotic stroke telesurgery’s time is now
Robotic stroke telesurgery is advancing as neurosurgical devices, robotics, and connectivity converge to expand access to stroke intervention. Over three decades since the FDA's first clot-busting drug approval in 1996, medtech developers have created thrombectomy devices for faster and safer clot removal, with robotic telesurgery now positioned to democratize access to specialized stroke care.
- 067TechnologySource · Medical Design & Outsourcing
A cautionary tale of quality automation and engineering expertise from the auto industry
A manufacturing quality article draws lessons from Ford's recent defect issues to illustrate the importance of robust automation and engineering expertise in medical device production, where quality failures carry life-safety implications. The piece uses automotive manufacturing mishaps as a cautionary framework for regulated medical device makers.
- 068TechnologySource · MedCity News
Radiologists Need AI That Works Where They Work, Not Standalone Software
Radiologists report that standalone AI software tools create additional workflow disruption rather than improving efficiency. The issue centers on lack of integration with existing radiology systems and clinical workflows where radiologists already work, highlighting a market demand for AI solutions that embed seamlessly into established platforms rather than requiring separate, parallel tools.
- 069TechnologySource · MedCity News
Documentation Tools Aren’t Just for Doctors: Inside Reid Health’s Deployment of Abridge’s Nurse Tech
Rural health system Reid Health deployed Abridge's AI-powered documentation software to nurses, reporting a 45-minute reduction in after-shift charting time and more than a 50% cut in RN vacancy rates. The technology extends Abridge's documentation automation beyond physician use to nursing workflows.
- 070TechnologySource · MedCity News
Why Generative AI Isn’t Enough: The Case for Causal Reasoning in Medicine
An analysis examines the limitations of generative AI in clinical settings and advocates for causal-reasoning systems that provide transparent, mechanism-based outputs grounded in validated biology. The piece argues that explainability and source citation are essential for maintaining clinical trust in AI-driven medical tools, distinguishing transparent reasoning systems from black-box generative models.
- 071TechnologySource · Medical Device Network
Clariyon’s AI tool boosts sepsis care compliance in hospital study
Clariyon released clinical-trial data showing its AI tool improved physician compliance with sepsis-care protocols in hospital settings. The timing coincides with rising adoption of AI decision-support systems in acute care, where sepsis affects 1.7 million US adults annually. The tool is designed to standardize evidence-based sepsis management workflows.
- 072TechnologySource · Medical Device Network
Oracle Health and Theator partner to offer AI surgical intelligence in US
Oracle Health has partnered with Theator to deliver AI-powered surgical intelligence solutions to its US customer base. The collaboration integrates Theator's AI platform with Oracle Health's infrastructure, enabling real-time surgical workflow analysis and optimization for operating room teams.
- 073TechnologySource · Medical Design & Outsourcing
MIT researchers develop 3D-printed electronic nozzles for precise drug delivery
MIT researchers developed 3D-printed triaxial electrospray emitters that use electrical pulses to dispense three liquids simultaneously, forming multilayered droplets that solidify into microparticles for time-release drug delivery. The low-cost nozzle design enables precise particle production at scale, potentially offering suppliers a new manufacturing approach for controlled-release formulations.
- 074TechnologySource · MedCity News
Preparing Healthcare Networks For The Vulnerability Flood
Healthcare networks face escalating cybersecurity threats from zero-day exploits and unpatched backdoors, requiring unified network infrastructure and improved vulnerability forecasting. Medical IT teams must adopt integrated defensive strategies to manage the expanding attack surface in hospital and clinic environments.
- 075TechnologySource · MedCity News
Combined GI Procedures Are Becoming Routine – AI Can Help Address the Gap in Upper GI Quality Standards
Combined upper and lower GI endoscopy is becoming standard practice in US healthcare settings, but quality-assurance infrastructure for upper GI procedures has not kept pace. AI-driven solutions are emerging to help standardize and monitor upper GI procedure quality across providers.
- 076TechnologySource · MedCity News
What’s Flowing Beneath the World Cup: How Verily’s Wastewater Monitoring Could Catch the Next Outbreak
Verily is conducting wastewater pathogen monitoring across World Cup host cities, testing for RSV, measles, norovirus, and other pathogens to detect disease outbreaks five to seven days before clinical presentation. The initiative demonstrates application of environmental surveillance technology for early outbreak detection at large-scale public events.
- 077TechnologySource · MedCity News
Where Healthcare Data Systems Fail and How to Build Them Better
An analysis of healthcare data system failures and design approaches to improve interoperability and data tracking across multiple platforms. The piece examines common pitfalls in healthcare IT infrastructure and recommends intentional system architecture strategies to enable better data flow and governance in multi-system environments.
- 078TechnologySource · MedCity News
In the Age of AI, Interoperability Isn’t Enough: Why Healthcare Needs Shared Understanding, Not Just Shared Data
A healthcare industry analysis argues that data interoperability alone is insufficient for AI adoption in medical systems. The piece contends that vendors and health systems need frameworks to translate clinical context into consistent, machine-readable representations across platforms and applications to enable safe, effective AI deployment.
- 079TechnologySource · MedCity News
Abridge Goes Beyond Documentation: 4 Updates
Clinical AI startup Abridge announced a partnership with Nvidia on foundation models, secured investment from Eli Lilly, and expanded its platform capabilities beyond clinical documentation. The company also signaled plans to address payer-provider workflows. The announcements reflect a shift toward broader clinical decision support and operational integration rather than standalone transcription.
- 080TechnologySource · MedCity News
From Copilots to Clinical Judgment: The Next Phase of AI in Digital Behavioral Health
MedCity News discusses the evolution of AI in digital behavioral health platforms beyond basic copilot assistance toward integrated decision-support systems where clinicians, supervisors, and AI collaborate. The shift focuses on building systems that enable human-AI interaction to improve clinical decision-making rather than replacing clinician judgment.