AR/​AI

Closing the EEG Bottleneck: How AI-Driven EEG Signal Analysis Is Reshaping Neurological Diagnostics

How do AI-assisted programs fit into the EEG picture? That’s what this article will explore.

From the Editor: FDA’s Big AI Moment Signals a New Era for Medtech

"If regulators are accelerating their digital transformation, the medtech community must be ready to meet them there." Read more about Editor and Director of Medical Content Sherrie Trigg's opinion in From the Editor.

Personalized Medicine and Drug Delivery

First Ascent’s platform enables pharmaceutical partners to test drug candidates against live cancer cells.

Automation, Robotics, and AI Integration in Medical Manufacturing

AI-driven quality control, predictive maintenance, and process optimization are improving efficiency and reducing costs in medical manufacturing.

MEDevice Silicon Valley, an MD&M Event

Returning to the Santa Clara Convention Center this November, MEDevice Silicon Valley 2025 is where the world’s most forward-looking medtech professionals will gather to exchange ideas, explore new technologies, and accelerate product development. Read on to learn all about it.

AI in Medical Imaging: Diagnostic Challenges and Key Technology Considerations

AI in medical imaging means embracing a paradigm shift from manual, perception-focused interpretation to technology-enabled, data-augmented diagnosis. A balanced approach of high computation with federated learning and generative augmentation could offer tangible benefits. Read on to learn what this means.

Infant Wearable Uses Artificial Intelligence for At-Home Assessments

During the first two years of life, the motor development of children is monitored closely, as motion is the natural base for their other development and interaction with the environment. Current methods do not allow accurate developmental monitoring throughout early childhood. MAIJU (Motor Assessment of Infants with a Jumpsuit) is designed to solve these problems. Read on to learn more about it.

AI Detects Dizziness, Balance Disorders Remotely

Most current AI models are based on static datasets, limiting their adaptability and real-time diagnostic potential. To address this gap, researchers have developed a novel proof-of-concept deep learning model that leverages real-time data to assist in diagnosing nystagmus — a condition characterized by involuntary, rhythmic eye movements often linked to vestibular or neurological disorders. Read on to learn more.

Six Winners Announced for the 2025 Women in Engineering: Rising Star Awards

SAE Media Group announced the winners of its Rising Star Awards: Women in Engineering program today during a live online event attended by participants across the globe.

MD&M Midwest 2025, an MD&M Event

Returning to the Minneapolis Convention Center this October, MD&M Midwest 2025 is where the region’s medtech leaders gather to explore, collaborate, and solve the toughest engineering challenges in medical device development. Read on to learn more about it.

The New Medtech Frontier

The next phase of medical device innovation will be defined by systems that are not only responsive but also autonomous and personalized. Read on to learn more.

Wearable Sensor Could Help Patients with Bipolar Disorder Track Medication Levels Through Sweat

Although lithium is highly effective to treat bipolar disorder, the chemical has a narrow therapeutic window — too high a dose can be toxic to patients, causing kidney damage, thyroid damage, or even death, while too low a dose renders the treatment ineffective. Read on to learn how a wearable sensor may thwart this issue.

How Digital Twins Could Lead to Better GI Function

Kennesaw State University’s Lei Shi is leading a research project that could alter how GI disorders are diagnosed and treated using virtual replicas of a human stomach.

AI Model Can Predict Cardiac Arrest Better than Doctors

A new AI model is much better than doctors at identifying patients likely to experience cardiac arrest. The linchpin is the system's ability to analyze long-underused heart imaging, alongside a full spectrum of medical records, to reveal previously hidden information about a patient's heart health.

AI Is in the Room — But Will It Bring Your Innovations to Market Quicker?

Artificial intelligence is emerging as a tool to balance challenges and facilitate the goal of bringing new innovations to market faster. And while AI undoubtedly has the potential to play a transformative role in medical device R&D, it must be approached with caution and utilized in a supportive capacity. Read on to learn more.

Product of the Month

See the product of the month: MethodSense's Elsa & AI Resource Center at MethodSense.com. Read on to learn more about it.

Critical Manufacturing Acquires Convanit to Advance AI-Powered Image Analytics in Smart Manufacturing

Critical Manufacturing, a provider of next-generation manufacturing execution systems (MES), has acquired Convanit, an AI specialist focused...

Integrating AI into Medical Wearables

Artificial intelligence is transforming the design and function of wearable medical devices.

Cracking the Code of Cardiac Care: How AI-Enabled ECG Could Solve Key Challenges in CVD Diagnosis

The escalating costs and prevalence of cardiovascular disease demand innovative solutions that can enhance care quality while alleviating financial burden. AI-enabled ECG technology may offer a compelling and actionable response to these challenges. Read on to learn more.

AI-Powered Analysis of Stent Healing

A research team has developed DeepNeo, an AI-powered algorithm that automates the process of analyzing coronary stents after implantation. The tool matches medical expert accuracy while significantly reducing assessment time. Read on to learn more.

Blockchain Could Empower Patient Data Management

Researchers are leveraging informatics approaches to tackle persistent challenges in data management and sharing, enabling real-world healthcare applications to enhance data security and accessibility. Read on to learn more.

Videos of the Month

See the videos of the month, including one on a thin film that combines an electrode grid and LEDs and can both track and produce a visual representation of the brain’s activity in real-time during surgery; one on an implantable piezoelectric ultrasound stimulator (ImPULS) that generates an ultrasonic focal pressure of 100 kPa to modulate the activity of neurons; one on AiSee, an AI-powered ‘eye’ for visually impaired people to ‘see’ objects; and more.

2025 Trends in Healthcare: Bridging Technology, Personalization, and Accessibility

The healthcare landscape in 2025 will be reshaped by advancements in data analytics, AI, IoT, and wearable technologies, which together promise predictive, personalized, and accessible care. Read on to learn more about Editor and Director of Medical Content Sherrie Trigg's, as well as other industry professionals', thoughts on the matter.

From the Editor - AI Tops ECRI’s 2025 Health Tech Hazards List

ECRI’s top 10 health technology hazards for 2025, in rank order, are... Read on to find out who made the list.

MD&M West Show Preview

Previously known as Informa Markets Engineering (IME) West, hosting five co-located shows — MD&M West, ATX West, D&M West, Plastec West, and WestPack — these related industry sectors are now merging into a single unified show: MD&M West. The focus of the conference and trade show is not changing. Read on to learn more.

Soft Microelectronics Enable Wearable AI for Digital Health

A research team has introduced a groundbreaking wearable in-sensor computing platform. This platform is built on an emerging microelectronic device, an organic electrochemical transistor (OECT), invented explicitly for bioelectronics applications. Read on to learn more about it.

Optimizing Biopharma Workflows: Integrating AI to Enhance Research and Discovery

The integration of AI into biopharmaceutical workflows holds immense potential to transform the industry, enhancing research and discovery processes, and ultimately improving patient outcomes. By addressing bioinformatics challenges and leveraging AI’s capabilities in drug target identification, compound screening, predictive modeling, and personalized medicine, the biopharma industry can achieve remarkable advances in drug development and healthcare delivery. Read on to learn more.