Healthcare AI/IoT (Artificial Intelligence/Internet of Things) refers to the integration of AI-driven technologies and interconnected devices within the healthcare sector. IoT devices, such as wearable sensors, smart medical devices, and remote monitoring tools, collect vast amounts of patient data. AI algorithms then analyze this data to derive valuable insights, aiding in disease diagnosis, treatment optimization, and personalized healthcare. For instance, wearable devices equipped with sensors can continuously monitor vital signs, sending real-time data to AI-powered systems. These systems can detect patterns or anomalies, alert healthcare providers, and even suggest personalized treatment plans based on individual patient data, optimizing patient care and outcomes.

Moreover, AI/IoT in healthcare facilitates remote patient monitoring, enabling healthcare professionals to remotely track patients’ health statuses and adherence to treatment plans. This setup allows for early detection of health issues or changes in conditions, reducing hospital visits and improving patient convenience. Additionally, AI algorithms can analyze vast amounts of medical literature and patient data to assist healthcare providers in making more informed decisions and predicting potential health risks, contributing to more proactive and preventive healthcare strategies. Integrating AI with IoT devices continues to revolutionize healthcare by providing more personalized, efficient, and accessible medical services.

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1. Bioinspired Microtexturing for Enhanced Sweat Adhesion in Ion-Selective Membranes
Published: August 5, 2025 | Cyborg and Bionic Systems, 6, 0337
Authors: Marc Josep Montagut Marques, Takayuki Masuji, Mohamed Adel, Ahmed M. R. Fath El-Bab, Kayo Hirose, Kanji Uchida, Hisashi Sugime, Shinjiro Umezu

Bioinspired (rose-petal) microtextured ion-selective membrane improves sweat wettability and self-cleaning, extending non-contact electrolyte sensing range from 300 to 2,000 μm — enabling stable hyponatremia/hydration monitoring during high-motion activity, intended for wearables, prosthetics, and exoskeletons.


2. Integrating Finite Element Analysis and Machine Learning for Non-invasive Tumor Detection: A Piezoelectric Tactile Sensor-based Vibration Absorber Approach
Published: March 2025 | Neural Computing and Applications, 37(18), 12059-12081
Authors: Radwa Hashem, Haitham El-Hussieny, Shinjiro Umezu, Ahmed M. R. Fath El-Bab

Combines FEA simulation of tissue stiffness (9-185 kPa) with ML models trained on a piezoelectric vibration-absorber sensor’s response to simulate tumors of varying size (5-25mm) and depth, enabling non-invasive, ML-assisted tumor detection via tactile stiffness mapping.


3. Plant Doctor: A Hybrid Machine Learning and Image Segmentation Software to Quantify Plant Damage in Video Footage
Published: February 22, 2025 / May 31, 2025 (issue) | Measurement, 249, 117094
Authors: Marc Josep Montagut Marques, Liu Mingxin, Kuri Thomas Shiojiri, Tomika Hagiwara, Kayo Hirose, Kaori Shiojiri, Shinjiro Umezu

Combines YOLOv8 + DeepSORT for real-time leaf detection/tracking with DeepLabV3Plus segmentation to automatically diagnose and quantify urban street-tree damage (bacteria, pests, fungi) from ordinary camera video — a non-invasive AI diagnostic system for public plant-health monitoring.


4. A Periodic Split Attractor Reconstruction Method Facilitates Cardiovascular Signal Diagnoses and Obstructive Sleep Apnea Syndrome Monitoring
Published: August 3, 2024 | Heliyon, 10(15), e35623
Authors: Ze Zhang, Kayo Hirose, Katsunori Yamada, Daisuke Sato, Kanji Uchida, Shinjiro Umezu

Proposes “periodic split attractor reconstruction” (PSAR), a chaos-domain ECG re-embedding method with three splitting variants, feeding PSAR density maps into an SE-ResNet classifier. Validated on combined cardiovascular-disease and obstructive sleep apnea ECG datasets, showing disease-specific sensitivity and good OSA recognition — an AI-assisted daily-life cardiovascular/sleep monitoring tool.


5. Soft Tissue Compliance Detection in Minimally Invasive Surgery: Dynamic Measurement with Piezoelectric Sensor Based on Vibration Absorber Concept
Published: 2024 | Journal of Robotics and Control (JRC), 5(5), 1399-1411
Authors: Radwa Hashem, Haitham El-Hussieny, Shinjiro Umezu, Ahmed M. R. Fath El-Bab

Sister study to the tumor-detection paper above, applying the same piezoelectric vibration-absorber sensing concept to dynamically measure soft-tissue compliance during minimally invasive surgery, aiding real-time tissue-property feedback for surgeons.


6. The Standards of Over-the-Counter Cuffless Sphygmomanometers for Monitoring Blood Pressure
Published: 2024 | Preprints
Authors: Meng Huang, Toshiyo Tamura, Shinjiro Umezu

Reviews and proposes standardization criteria for consumer cuffless blood-pressure monitors, addressing accuracy and validation gaps in this fast-growing home-monitoring device category.


7. A Low-Cost Microfluidic Flow Stabilizer for Enhancing QCM Measurement Stability in In-Liquid Bio-Applications
Published: 2024 | Engineering Research Express, 6(1), 015501
Authors: Mohamed Adel, Ahmed Allam, Ashraf E. Sayour, Hani F. Ragai, Shinjiro Umezu, Ahmed M. R. Fath El-Bab

Low-cost microfluidic flow stabilizer improves measurement stability of quartz crystal microbalance (QCM) biosensors operating in liquid, supporting more reliable point-of-care biosensing.


8. Design and Development of a Portable Low-Cost QCM-Based System for Liquid Biosensing
Published: 2024 | Biomedical Microdevices, 26(1), 11
Authors: Mohamed Adel, Ahmed Allam, Ashraf E. Sayour, Hani F. Ragai, Shinjiro Umezu, Ahmed M. R. Fath El-Bab

Companion device paper: builds a portable, low-cost QCM-based biosensing platform for liquid samples, aimed at accessible point-of-care diagnostic use.


9. A Combination of Logical Judging Circuit and Water-Resistant Ultrathin Film PEDOT:PSS Electrode for Noninvasive ECG Measurement (cross-listed from Bioelectronics)
Published: March 14, 2024 | Discover Nano, 19(1), 45
Authors: Kewei Song, Kayo Hirose, Kioto Niitsu, Tsubasa Sui, Hiroto Kojima, Toshinori Fujie, Shinjiro Umezu

Water-resistant PEDOT:PSS ECG electrode with a self-selecting multi-channel logic circuit enables stable, non-adhesive long-term ECG monitoring during daily activity without sweat-induced noise — a vital-sign-monitoring bioelectronic device.


10. Adding Deposition Constraints to Improve Fabrication Yield of Ion-Selective Sensors (two versions: 年次大会 conference version + full “About electrochemical sensor mechanical properties” version)
Presented: 2023 | 年次大会 2023, S236-04 / Proceedings of Mechanical Engineering Congress, Japan 2023
Authors: Marc Josep Montagut Marques, Kayo Hirose, Kazuyoshi Tsuchiya, Hisashi Sugime, Suguru Noda, Shinjiro Umezu

Investigates deposition process constraints that improve manufacturing yield of ion-selective electrochemical sensors, a precursor to the group’s later sweat-sensing membrane work.


11. An Advanced Internet of Things System for Heatstroke Prevention with a Noninvasive Dual-Heat-Flux Thermometer
Published: 2022 | Sensors, 22(24), 9985
Authors: Toshiyo Tamura, Meng Huang, Toshimasa Yoshimura, Shinjiro Umezu, Toshiro Ogata

IoT-connected noninvasive dual-heat-flux thermometer system for real-time heatstroke risk monitoring, integrating physiological sensing with connected alerting.


12. Smart Face Mask Based on an Ultrathin Pressure Sensor for Wireless Monitoring of Breath Conditions
Published: November 30, 2021/ February 2022 (issue) | Advanced Materials, 34(6), e2107758
Authors: Junwen Zhong, Zhaoyang Li, Masahito Takakuwa, Daishi Inoue, Daisuke Hashizume, Zhi Jiang, Yujun Shi, Lexiang Ou, Md Osman Goni Nayeem, Shinjiro Umezu, Kenjiro Fukuda, Takao Someya

World’s thinnest (~5.5 μm) and lightest (~4.5 mg) self-powered electrostatic pressure sensor, integrated into a face mask with a compact wireless readout circuit, enabling battery-free wireless monitoring and analysis of breath conditions across multiple testers.


13. Design, Fabrication, and Control of Micro-heater Based on Joule Effect for Low-cost Medical Device / Micro Heater Design Procedure with Backside Etching for Medical Applications
Presented: 2022 | IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
Authors: Mohamed S. Tolba, Mohamed Fanni, Ghada A. Nasser, Shinjiro Umezu, Ahmed M. R. Fath El-Bab

Two companion conference papers designing and fabricating low-cost Joule-effect micro-heaters (with backside-etch process refinement) for point-of-care medical devices such as PCR thermal cyclers.


14. 3D-Printed Swab with Cover for Precision Diagnosis
Published: 2022 | Journal of Materials Science: Materials in Medicine, 33(1), 8
Authors: Fangqi Huang, Kewei Song, Yue Jiang, Kayo Hirose, Shinjiro Umezu

3D-printed diagnostic swab with a protective cover, standardizing sample collection geometry for more precise and consistent diagnostic testing (e.g., COVID-era nasal/throat swabs).


15. New Cost Effective Design of PCR Heating Cycler System Using Peltier Plate Without the Conventional Heating Block
Published: 2021 | Journal of Mechanical Science and Technology, 35(7), 3259-3268
Authors: Ghada A. Nasser, Ahmed L. Abdel-Mawgood, Adel A. Abouelsoud, Hisham Mohamed, Shinjiro Umezu, Ahmed M. R. Fath El-Bab

Replaces the conventional heating block with a Peltier-plate design to build a lower-cost PCR thermal cycler, aimed at accessible point-of-care molecular diagnostics.


16. Polyaniline濃度変化及びドーピングがpHセンサ感度に及ぼす影響の検討
Published: 2021 | IIP 情報・知能・精密機器部門講演会講演論文集 2021, IIP2A2-4
Authors: Ko Kobayashi, Koshi Sugime, Suguru Noda, Shinjiro Umezu (kanji-to-romaji reading approximate; not independently re-verified)

Investigates how polyaniline concentration and doping level affect pH sensor sensitivity — a precursor to the group’s later ion-selective/sweat-sensing membrane work.


17. Airtight, Flexible, Disposable Barrier for Extubation
Published: June 14, 2020 | Journal of Anesthesia, 34(5), 798-799
Authors: Kayo Hirose, Kanji Uchida, Shinjiro Umezu

Developed a “Balloon for Aerosol Protection” (BAP) — an airtight, flexible, disposable barrier that seals around a patient’s head during extubation while allowing glove access, protecting medical staff from aerosolized SARS-CoV-2 droplets; validated via fluorescent-tracer isolation testing.


18. Based Electrochemical Sensors Using Paper as a Scaffold to Create Porous Carbon Nanotube Electrodes
Published: 2020 | ACS Applied Materials & Interfaces, 12(27), 30680-30685
Authors: Christopher J. Valentine, Kaori Takagishi, Shinjiro Umezu, Ronan Daly, Michael De Volder

Uses ordinary paper as a low-cost scaffold to create porous carbon-nanotube electrodes for electrochemical sensing, aimed at accessible point-of-care biosensing platforms.