Author

A. Krupski

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Review Open access Aug 2026

ARTIFICIAL INTELLIGENCE FOR PREDICTION OF EXERCISE-ASSOCIATED HYPOGLYCEMIA IN PHYSICALLY ACTIVE PEOPLE WITH TYPE 1 DIABETES

Research objectives. Physical activity continues to be a major barrier to achieving ideal blood glucose control in individuals with type 1 diabetes due to the ongoing threat of hypoglycemia. Traditional alerts from Continuous Glucose Monitoring (CGM) systems are mostly reactive as they fail to consider the specific con...

A. Krupski, Michał Marusza, Victoria Stielow et al. · International Journal of Inn... · 0 citations

Review Open access Aug 2026

CONTINUOUS GLUCOSE MONITORING AS AN INNOVATIVE DIGITAL HEALTH TECHNOLOGY IN TYPE 1 DIABETES: PSYCHOSOCIAL BARRIERS, PHYSICAL ACTIVITY AND EQUITY OF ACCESS

Research objectives. While CGM plays an essential role in managing the modern type one diabetic's condition it becomes most critical for those with type 1 diabetes who engage in physical activity as they are often fearful of experiencing low blood glucose levels (hypoglycemia) or post-exercise elevated glycemic levels...

A. Krupski, Michał Marusza, Victoria Stielow et al. · International Journal of Inn... · 0 citations

Review Open access Sep 2026

ARTIFICIAL INTELLIGENCE IN MUSCULOSKELETAL ULTRASOUND FOR SPORTS INJURIES: DIAGNOSTIC ACCURACY, CLINICAL UTILITY, AND IMPLEMENTATION CHALLENGES (2022-2026): A NARRATIVE REVIEW

Background: Musculoskeletal Ultrasound (MSK-US) is a popular tool among Sports Medicine professionals due to its portability, repeatability, no radiation exposure, and ability to provide dynamic, point-of-care assessments. However, MSK-US also has an operator dependent component of accuracy. Objective: This Review will...

Victoria Stielow, Michał Marusza, A. Krupski et al. · International Journal of Inn... · 0 citations