Dr. Downing (right) and Dr. Shi (left) present the certificate recognizing one of the top five abstracts to Ph.D. graduate student Polina Orhunova (center). (Photo courtesy of Bikram De.)

Lone Star EMBS Section AI and Healthcare Workshop

Lone Star EMBS Section AI and Healthcare Workshop768423IEEE Pulse

On 6 December 2024, the IEEE EMBS Lone Star Section hosted its inaugural Workshop on AI and Healthcare at Star Park, Texas State University (near San Antonio, TX, USA). This event brought together military engineers, scientists, academics, and students to explore the transformative potential of AI in healthcare.

Schematic procedure of data pre-processing for the SR technique.

ViSIR: Vision Transformer Single Image Reconstruction Method for Earth System Models

ViSIR: Vision Transformer Single Image Reconstruction Method for Earth System Models768423IEEE Pulse

Earth system models (ESMs) are computationally intensive simulations that integrate various Earth components (atmosphere, ocean, land, ice, biosphere) to study interactions affecting climate and environmental conditions.

The overall architecture of the proposed method. (Image courtesy of Gongbo Liang and is provided with permission in accordance to any and all creative licenses.)

Probabilistic Embedding for Enhancing Medical Imaging Model Trustworthiness Through Calibration via Gaussian Distribution

Probabilistic Embedding for Enhancing Medical Imaging Model Trustworthiness Through Calibration via Gaussian Distribution768423IEEE Pulse

Accurate uncertainty estimation (i.e., prediction confidence estimation) is crucial for reliable neural network-based predictions, as the predicted result depends entirely on the estimated uncertainty. Ideally, a model’s predicted confidence should align with its actual accuracy.

(a) Training: The diffusion process adds noise to the input accelerometer data for feature extraction. (b) Generation: The denoising process reconstructs accelerometer data using a transformer-enhanced model.

TransConv-DDPM: Time-Series Data Generation With Diffusion

TransConv-DDPM: Time-Series Data Generation With Diffusion768423IEEE Pulse

The limited availability of real-world time-series data in clinical settings presents considerable obstacles to the development of effective AI models for medical diagnosis and preventative health care.

Experimental setup: VR environment and participant interaction. (Photo courtesy of Polina Orhunova, Wenhan Tao, and Mylene Farias.)

Evaluating the Quality of Experience of VR Applications in a Charade Game Environment

Evaluating the Quality of Experience of VR Applications in a Charade Game Environment768423IEEE Pulse

The popularity of applications in augmented reality (AR) and virtual reality (VR) has increased considerably in the past decade, with the creation of new imaging technologies and the development of compact and affordable head-mounted displays (HMDs).

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Workflow for training LLMs in compiler optimization.
LLMs in Compiler Optimization: Challenges and Future Direction768423IEEE Pulse

LLMs in Compiler Optimization: Challenges and Future Direction

Recently, large language models (LLMs) have become highly effective tools, capable of handling a wide range of tasks in natural language processing and software engineering. Language models like Code Llama and Codex exhibit a good understanding of code-based tasks, such as code generation, translation, and completion of unfinished code.

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African American male scientist and his colleagues working on machinery in laboratory.
Navigating the Future: Unveiling the Impact of Mentorship From the IEEE EMBS Student Mentoring Program768423IEEE Pulse

Navigating the Future: Unveiling the Impact of Mentorship From the IEEE EMBS Student Mentoring Program

As chairman of the IEEE EMBS Student Mentoring Program (SMP) , proliferating skilled biomedical engineers for the future is our ultimate goal. This article conveys the voice of impactful mentees and mentors who actively participated in the SMP 2023.

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Advanced Soft Electronics for Biomedical Engineering: Material, Manufactures, and Application
Advanced Soft Electronics for Biomedical Engineering: Material, Manufactures, and Applications768423IEEE Pulse

Advanced Soft Electronics for Biomedical Engineering: Material, Manufactures, and Applications

A need exists for medical devices that can be in contact with the human (or other) body for situations that involve long-term monitoring of bodily parameters in a non-encumbering fashion.

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Join the EMBS

In an era where technology is expanding at a rapid rate and the needs for medical application of these technologies has never been greater, the intersection between engineering, medicine and biology is a critical place to be. The IEEE Engineering in Medicine and Biology Society is well-positioned to serve as a central gathering point for both of these major disciplines.

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