Screening smarter in resource-limited settings: How does AI-supported breast ultrasound improve referrals and what does this mean for women facing long diagnostic delays?
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Dr. Kathryn Malherbe – Professional Bio (2025) Dr. Kathryn Malherbe is a seasoned radiographer and mammographer with nearly 20 years of experience in diagnostic imaging. She holds a Bachelor's degree in Diagnostic Imaging, a BSc Honours in Neuroanatomy, a Master’s in Diagnostic Imaging, and a PhD in Clinical Anatomy, with a subspecialty in mammography. Her academic and clinical expertise has positioned her as a leading voice in the integration of imaging, AI, and health innovation in Africa. She is the founder and CEO of MedSol AI Solutions, an award-winning healthtech company pioneering AI-enabled diagnostic tools for breast cancer and wound care. Her PhD research led to the development of a patent-pending algorithm, now embedded within Breast AI, a portable ultrasound-based system that provides real-time breast cancer risk predictions at the point of care. The system is designed for both rural and urban settings, offering a 65% cost reduction compared to conventional imaging technologies. Breast AI is currently deployed in over 10 hospitals and clinics across South Africa.

Dr. Kathryn Malherbe – Professional Bio (2025) Dr. Kathryn Malherbe is a seasoned radiographer and mammographer with nearly 20 years of experience in diagnostic imaging. She holds a Bachelor’s degree in Diagnostic Imaging, a BSc Honours in Neuroanatomy, a Master’s in Diagnostic Imaging, and a PhD in Clinical Anatomy, with a subspecialty in mammography. Her academic and clinical expertise has positioned her as a leading voice in the integration of imaging, AI, and health innovation in Africa. She is the founder and CEO of MedSol AI Solutions, an award-winning healthtech company pioneering AI-enabled diagnostic tools for breast cancer and wound care. Her PhD research led to the development of a patent-pending algorithm, now embedded within Breast AI, a portable ultrasound-based system that provides real-time breast cancer risk predictions at the point of care. The system is designed for both rural and urban settings, offering a 65% cost reduction compared to conventional imaging technologies. Breast AI is currently deployed in over 10 hospitals and clinics across South Africa.
Screening smarter in resource-limited settings: How does AI-supported breast ultrasound improve referrals and what does this mean for women facing long diagnostic delays?