This case report aimed to describe successful pain management and maintenance of pregnancy in a woman with a herniated intervertebral disc using ultrasound-guided epidural steroid injections (US ESI). A 43-year-old pregnant woman at 23 weeks’ gestation presented with severe radiating pain extending from the hip to the thigh and calf. Magnetic resonance imaging revealed a herniated disc at the L5–S1 level with severe compromise of the thecal sac. Multiple rounds of US ESI were performed that reduced her pain from a numerical rating scale score of 9–10 to approximately 6.The patient underwent a cesarean section at 36 weeks and 6 days’ gestation. Following delivery, the patient underwent a discectomy and has since experienced no recurrence of pain or complications.Pregnant women with herniated intervertebral discs may experience severe radicular pain but have limited treatment options. This case demonstrates that US ESI can be beneficial when appropriate.

Objective: The rapid societal changes have underscored the importance of effective stress detection and management. Chronic mental stress significantly contributes to both physical and psychological illnesses. However, many individuals often remain unaware of their stress levels until they face physical health issues, highlighting the necessity for regular stress monitoring. This study aimed to investigate the effectiveness of vocal biomarkers in detecting stress levels among healthy Korean employees and to contribute to digital healthcare solutions. Methods: We conducted a multi-center clinical study by collecting voice recordings from 115 healthy Korean employees under both relaxed and stress-induced conditions. Stress was induced using the socially evaluated cold pressor test. The Emphasized Channel Attention, Propagation and Aggregation in Time delay neural network (ECAPA-TDNN) deep learning architecture, renowned for its advanced capabilities in analyzing person-specific voice features, was employed to develop stress prediction scores. Results: The proposed model achieved a 70% accuracy rate in detecting stress. This performance underscores the potential of vocal biomarkers as a convenient and effective tool for individuals to self-monitor and manage their stress levels within digital healthcare frameworks. Conclusion The findings emphasize the promise of voice-based mental stress assessments within the Korean population and the importance of continued research on vocal biomarkers across diverse linguistic demographics.

This case report aimed to describe successful pain management and maintenance of pregnancy in a woman with a herniated intervertebral disc using ultrasound-guided epidural steroid injections (US ESI). A 43-year-old pregnant woman at 23 weeks’ gestation presented with severe radiating pain extending from the hip to the thigh and calf. Magnetic resonance imaging revealed a herniated disc at the L5–S1 level with severe compromise of the thecal sac. Multiple rounds of US ESI were performed that reduced her pain from a numerical rating scale score of 9–10 to approximately 6.The patient underwent a cesarean section at 36 weeks and 6 days’ gestation. Following delivery, the patient underwent a discectomy and has since experienced no recurrence of pain or complications.Pregnant women with herniated intervertebral discs may experience severe radicular pain but have limited treatment options. This case demonstrates that US ESI can be beneficial when appropriate.

Objective: The rapid societal changes have underscored the importance of effective stress detection and management. Chronic mental stress significantly contributes to both physical and psychological illnesses. However, many individuals often remain unaware of their stress levels until they face physical health issues, highlighting the necessity for regular stress monitoring. This study aimed to investigate the effectiveness of vocal biomarkers in detecting stress levels among healthy Korean employees and to contribute to digital healthcare solutions. Methods: We conducted a multi-center clinical study by collecting voice recordings from 115 healthy Korean employees under both relaxed and stress-induced conditions. Stress was induced using the socially evaluated cold pressor test. The Emphasized Channel Attention, Propagation and Aggregation in Time delay neural network (ECAPA-TDNN) deep learning architecture, renowned for its advanced capabilities in analyzing person-specific voice features, was employed to develop stress prediction scores. Results: The proposed model achieved a 70% accuracy rate in detecting stress. This performance underscores the potential of vocal biomarkers as a convenient and effective tool for individuals to self-monitor and manage their stress levels within digital healthcare frameworks. Conclusion The findings emphasize the promise of voice-based mental stress assessments within the Korean population and the importance of continued research on vocal biomarkers across diverse linguistic demographics.

This case report aimed to describe successful pain management and maintenance of pregnancy in a woman with a herniated intervertebral disc using ultrasound-guided epidural steroid injections (US ESI). A 43-year-old pregnant woman at 23 weeks’ gestation presented with severe radiating pain extending from the hip to the thigh and calf. Magnetic resonance imaging revealed a herniated disc at the L5–S1 level with severe compromise of the thecal sac. Multiple rounds of US ESI were performed that reduced her pain from a numerical rating scale score of 9–10 to approximately 6.The patient underwent a cesarean section at 36 weeks and 6 days’ gestation. Following delivery, the patient underwent a discectomy and has since experienced no recurrence of pain or complications.Pregnant women with herniated intervertebral discs may experience severe radicular pain but have limited treatment options. This case demonstrates that US ESI can be beneficial when appropriate.

Objective: The rapid societal changes have underscored the importance of effective stress detection and management. Chronic mental stress significantly contributes to both physical and psychological illnesses. However, many individuals often remain unaware of their stress levels until they face physical health issues, highlighting the necessity for regular stress monitoring. This study aimed to investigate the effectiveness of vocal biomarkers in detecting stress levels among healthy Korean employees and to contribute to digital healthcare solutions. Methods: We conducted a multi-center clinical study by collecting voice recordings from 115 healthy Korean employees under both relaxed and stress-induced conditions. Stress was induced using the socially evaluated cold pressor test. The Emphasized Channel Attention, Propagation and Aggregation in Time delay neural network (ECAPA-TDNN) deep learning architecture, renowned for its advanced capabilities in analyzing person-specific voice features, was employed to develop stress prediction scores. Results: The proposed model achieved a 70% accuracy rate in detecting stress. This performance underscores the potential of vocal biomarkers as a convenient and effective tool for individuals to self-monitor and manage their stress levels within digital healthcare frameworks. Conclusion The findings emphasize the promise of voice-based mental stress assessments within the Korean population and the importance of continued research on vocal biomarkers across diverse linguistic demographics.

This case report aimed to describe successful pain management and maintenance of pregnancy in a woman with a herniated intervertebral disc using ultrasound-guided epidural steroid injections (US ESI). A 43-year-old pregnant woman at 23 weeks’ gestation presented with severe radiating pain extending from the hip to the thigh and calf. Magnetic resonance imaging revealed a herniated disc at the L5–S1 level with severe compromise of the thecal sac. Multiple rounds of US ESI were performed that reduced her pain from a numerical rating scale score of 9–10 to approximately 6.The patient underwent a cesarean section at 36 weeks and 6 days’ gestation. Following delivery, the patient underwent a discectomy and has since experienced no recurrence of pain or complications.Pregnant women with herniated intervertebral discs may experience severe radicular pain but have limited treatment options. This case demonstrates that US ESI can be beneficial when appropriate.

Objective: The rapid societal changes have underscored the importance of effective stress detection and management. Chronic mental stress significantly contributes to both physical and psychological illnesses. However, many individuals often remain unaware of their stress levels until they face physical health issues, highlighting the necessity for regular stress monitoring. This study aimed to investigate the effectiveness of vocal biomarkers in detecting stress levels among healthy Korean employees and to contribute to digital healthcare solutions. Methods: We conducted a multi-center clinical study by collecting voice recordings from 115 healthy Korean employees under both relaxed and stress-induced conditions. Stress was induced using the socially evaluated cold pressor test. The Emphasized Channel Attention, Propagation and Aggregation in Time delay neural network (ECAPA-TDNN) deep learning architecture, renowned for its advanced capabilities in analyzing person-specific voice features, was employed to develop stress prediction scores. Results: The proposed model achieved a 70% accuracy rate in detecting stress. This performance underscores the potential of vocal biomarkers as a convenient and effective tool for individuals to self-monitor and manage their stress levels within digital healthcare frameworks. Conclusion The findings emphasize the promise of voice-based mental stress assessments within the Korean population and the importance of continued research on vocal biomarkers across diverse linguistic demographics.

This case report aimed to describe successful pain management and maintenance of pregnancy in a woman with a herniated intervertebral disc using ultrasound-guided epidural steroid injections (US ESI). A 43-year-old pregnant woman at 23 weeks’ gestation presented with severe radiating pain extending from the hip to the thigh and calf. Magnetic resonance imaging revealed a herniated disc at the L5–S1 level with severe compromise of the thecal sac. Multiple rounds of US ESI were performed that reduced her pain from a numerical rating scale score of 9–10 to approximately 6.The patient underwent a cesarean section at 36 weeks and 6 days’ gestation. Following delivery, the patient underwent a discectomy and has since experienced no recurrence of pain or complications.Pregnant women with herniated intervertebral discs may experience severe radicular pain but have limited treatment options. This case demonstrates that US ESI can be beneficial when appropriate.

Objective: The rapid societal changes have underscored the importance of effective stress detection and management. Chronic mental stress significantly contributes to both physical and psychological illnesses. However, many individuals often remain unaware of their stress levels until they face physical health issues, highlighting the necessity for regular stress monitoring. This study aimed to investigate the effectiveness of vocal biomarkers in detecting stress levels among healthy Korean employees and to contribute to digital healthcare solutions. Methods: We conducted a multi-center clinical study by collecting voice recordings from 115 healthy Korean employees under both relaxed and stress-induced conditions. Stress was induced using the socially evaluated cold pressor test. The Emphasized Channel Attention, Propagation and Aggregation in Time delay neural network (ECAPA-TDNN) deep learning architecture, renowned for its advanced capabilities in analyzing person-specific voice features, was employed to develop stress prediction scores. Results: The proposed model achieved a 70% accuracy rate in detecting stress. This performance underscores the potential of vocal biomarkers as a convenient and effective tool for individuals to self-monitor and manage their stress levels within digital healthcare frameworks. Conclusion The findings emphasize the promise of voice-based mental stress assessments within the Korean population and the importance of continued research on vocal biomarkers across diverse linguistic demographics.