Measurement of vital stats of the human body such as heart rate, blood pressure, electrocardiogram (ECG), etc is an important part of diagnosing and detecting medical conditions. Conventional methods to measure body parameters involve specialized sensors which need to be placed on the body. Non-contact diagnostics using human speech, facial/body imaging and radar sensors has garnered significant research interest as it can minimize the spread of infection and also allows remote, real-time monitoring of individuals. By applying signal processing and developing appropriate AI models, low-cost and timely healthcare solutions can be designed for early diagnosis of illnesses and tracking the progress of treatment/recovery. Non-invasive, non-contact diagnostics in healthcare can greatly improve the effectiveness and efficiency of healthcare service providers.

The session aims to bring together researchers and practitioners working at the forefront of developing non-contact medical diagnostics from across the globe to exchange research ideas, fostering collaborations to explore new dimensions in this field, making this technology available for healthcare professionals.

Topics of interest include (but not limited to)

• Vital stats (heart rate, SpO2, BP) monitoring from speech using AI

• Mental health monitoring using speech

• Cognitive and motor analysis through audio and video for neurological diseases monitoring

• Physiological monitoring using patient’s pose estimation and facial expression recognition (FER) analysis

• Non-contact Athletes’ monitoring in sports medicine

• Speech/image/video/radar - sensed data signal-processing using AI for medical diagnosis

• AI based assisted living

• Radar based healthcare monitoring

• Information fusion involving multimodal health datasets (audio, video, and radar sensed data)

Manuscripts should describe original work and should be no more than 7 pages in the IEEE double-column proceedings format, including tables, figures and references.

In order to download manuscript templates for IEEE conference proceedings use the following link: https://www.ieee.org/conferences/publishing/templates.html

If you are using LaTeX, please analyze your article’s LaTeX files prior to submission to avoid delays in publishing. The IEEE LaTeX Analyzer will identify potential setbacks such as incomplete files or different versions of LaTeX. 

Papers can be submitted directly to EDAS at: https://edas.info/N35013 by selecting the track SS-NCMD 2026

Note that accepted papers up to 6 pages will be published with no additional charge. Exceeding pages will be charged an additional fee. Papers exceeding 7 pages will not be accepted.

At least one author of each accepted paper is required to register to the conference and present the paper. Only registered and presented papers will be published in the conference proceedings.

Accepted papers will be included in the proceedings of ISCC 2026, of which ICTS4eHealth conference is a co-located event, and will be submitted for inclusion to IEEE Xplore. The ICTSeHealth and ISCC proceedings have been indexed in the past by ISI, DBLP and Scopus.

• Submission deadline for papers: March 15, 2026

• Notification of paper acceptance: March 31, 2026

• Submission of camera-ready papers: TBA

• Registration: TBA

Hyatt Regency Vilamoura Algarve (also called Hotel Dom Pedro)

Address: Stefano Saviotti 65, 8125-478 Vilamoura, Portugal

Phone: (+351) 289 371 234

Info:
https://www.hyatt.com/hyatt-regency/en-US/faorq-hyatt-regency-vilamoura-algarve