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Assessing Public Interest in Mammography, Computed Tomography Lung Cancer Screening, and Computed Tomography Colonography Screening Examinations Using Internet Search Data: Cross-Sectional Study

Assessing Public Interest in Mammography, Computed Tomography Lung Cancer Screening, and Computed Tomography Colonography Screening Examinations Using Internet Search Data: Cross-Sectional Study

Noninvasive imaging, such as mammography (MG), low-dose computed tomography (CT) for lung cancer screening (LCS), and CT colonography (CTC), plays important roles in the early detection of the most common cancer types and has demonstrated efficacy in reducing cancer-related and all-cause mortality rates [2,3].

Zachary D Zippi, Isabel O Cortopassi, Rolf A Grage, Elizabeth M Johnson, Matthew R McCann, Patricia J Mergo, Sushil K Sonavane, Justin T Stowell, Brent P Little

JMIR Cancer 2025;11:e53328

The Evolution of Uroflowmetry and Bladder Diary and the Emerging Trend of Using Home Devices From Hospital to Home

The Evolution of Uroflowmetry and Bladder Diary and the Emerging Trend of Using Home Devices From Hospital to Home

To objectively assess the function of the lower urinary tract, uroflowmetry and bladder diaries (BD) are commonly used noninvasive examinations for those experiencing LUTS. Uroflowmetry can measure various parameters during the voiding phase, including maximum flow rate (Qmax), and voided volume, which are essential metrics. Additional parameters, such as flow pattern, time to Qmax, flow time, and average flow rate, provide further insights [1].

Ming-wei Li, Yao-Chou Tsai, Stephen Shei-Dei Yang, Yuan-Hung Pong, Yu-Ting Tsai, Vincent Fang-Sheng Tsai

Interact J Med Res 2025;14:e66694

The Prevalence of Dermoscopy Use Among Dermatology Residents in Riyadh, Saudi Arabia: Cross-Sectional Study

The Prevalence of Dermoscopy Use Among Dermatology Residents in Riyadh, Saudi Arabia: Cross-Sectional Study

Dermoscopy is a noninvasive technology used to examine the skin’s invisible microstructures in dermatological practice [1]. It is an established technique for analyzing skin lesions, with its origins tracing back to the 17th century when Kohlhaus used a microscope to study nail matrix vessels [1-3]. However, dermoscopy did not gain widespread use until the 20th century, when Goldman developed a portable microscope capable of magnifying up to 10 times more than the naked eye [1-6].

Abdullah Almeziny, Rahaf Almutairi, Amal Altamimi, Khloud Alshehri, Latifah Almehaideb, Asem Shadid, Mohammed Al Mashali

JMIR Dermatol 2025;8:e63861

AI-Based Noninvasive Blood Glucose Monitoring: Scoping Review

AI-Based Noninvasive Blood Glucose Monitoring: Scoping Review

Noninvasive blood glucose monitoring (NIBGM) is ideal for minimizing discomfort, reducing the risk of infection, and increasing convenience. The latest advancements include near-infrared spectroscopy (NIRS), photoplethysmography (PPG), Raman spectroscopy (RS), photoacoustic signals, and biosensors, like saliva and tears [10].

Pin Zhong Chan, Eric Jin, Miia Jansson, Han Shi Jocelyn Chew

J Med Internet Res 2024;26:e58892

Internet-Based Abnormal Chromosomal Diagnosis During Pregnancy Using a Noninvasive Innovative Approach to Detecting Chromosomal Abnormalities in the Fetus: Scoping Review

Internet-Based Abnormal Chromosomal Diagnosis During Pregnancy Using a Noninvasive Innovative Approach to Detecting Chromosomal Abnormalities in the Fetus: Scoping Review

In recent years, noninvasive prenatal testing (NIPT) has emerged as a safe and effective alternative to invasive methods. NIPT is based on the analysis of cell-free DNA (cf DNA) in the maternal blood [3]. cf DNA is released into the maternal blood by the placenta and contains genetic material from both the mother and the fetus. This advent of NIPT has revolutionized prenatal diagnosis [3].

Mega Obukohwo Sr Oyovwi, Ejiro Peggy Ohwin, Rume Arientare Rotu, Temitope Gideon Olowe

JMIR Bioinform Biotech 2024;5:e58439

Detection of Urinary Misfolded Proteins for Imminent Prediction of Preeclampsia in Pregnant Women With Suspected Cases: Protocol for a Prospective Noninterventional Study

Detection of Urinary Misfolded Proteins for Imminent Prediction of Preeclampsia in Pregnant Women With Suspected Cases: Protocol for a Prospective Noninterventional Study

A noninvasive laboratory method involving measurement of the ratio of soluble FMS-like tyrosine kinase 1 (s FLT-1) to placental growth factor (Pl GF) in the urine proved to be effective in PE diagnosis, achieving a sensitivity of 70%-72.5% with a 5%-14% false-positive rate [22,23]. Thus, combining urine Pl GF and s FLT-1 testing with other biomarkers may yield the best predictive performance.

Haiyang Tang, Yijia Tian, Jing Fang, Xiaoying Yuan, Minli Yao, Yujia Wang, Yan Feng, Jia Shu, Yan Ni, Ying Yu, Yuanhe Wang, Ping Liang, Xingmin Li, Xiaoxia Bai

JMIR Res Protoc 2024;13:e54026

Leveraging AI and Machine Learning to Develop and Evaluate a Contextualized User-Friendly Cough Audio Classifier for Detecting Respiratory Diseases: Protocol for a Diagnostic Study in Rural Tanzania

Leveraging AI and Machine Learning to Develop and Evaluate a Contextualized User-Friendly Cough Audio Classifier for Detecting Respiratory Diseases: Protocol for a Diagnostic Study in Rural Tanzania

Moreover, the noninvasive nature of cough audio analysis makes it a convenient and cost-effective diagnostic tool, particularly in resource-constrained settings [12-17]. Patients can record their cough sounds using smartphones or dedicated devices, and these recordings can then be processed by AI algorithms for rapid assessment [20-22].

Kahabi Ganka Isangula, Rogers John Haule

JMIR Res Protoc 2024;13:e54388

Innovative Solutions for Patients Who Undergo Craniectomy: Protocol for a Scoping Review

Innovative Solutions for Patients Who Undergo Craniectomy: Protocol for a Scoping Review

This scoping review will serve as a baseline to provide evidence for multidisciplinary teams currently designing these noninvasive innovations to reduce the risk of associated complications after DC, hoping that more cost-effective models can be implemented, especially in middle-income and low-income countries. The principal limitation of this and any scoping review is the quality of the included studies leaving the included literature with a higher risk of bias.

Laura L Fernandez, Dylan Griswold, Isla Khun, Diana Victoria Rodriguez De Francisco

JMIR Res Protoc 2024;13:e50647

A Machine Learning Web App to Predict Diabetic Blood Glucose Based on a Basic Noninvasive Health Checkup, Sociodemographic Characteristics, and Dietary Information: Case Study

A Machine Learning Web App to Predict Diabetic Blood Glucose Based on a Basic Noninvasive Health Checkup, Sociodemographic Characteristics, and Dietary Information: Case Study

Specifically, Bangladesh lacks research using ML techniques to predict BGLs based on basic noninvasive clinical measurements and dietary and sociodemographic information. To formulate strategies for public health planning and the control of diabetes, this study aimed to develop a personalized ML model that predicts the BGLs of urban corporate workers in Bangladesh.

Masuda Begum Sampa, Topu Biswas, Md Siddikur Rahman, Nor Hidayati Binti Abdul Aziz, Md Nazmul Hossain, Nor Azlina Ab Aziz

JMIR Diabetes 2023;8:e49113