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Three skull models were found most useful for testing hydrocephalus valve programming.

Math skills are crucial for planning and executing successful hair restoration surgeries.

The SketchAndCalc app is a faster and more precise method for measuring hair transplant areas than traditional grid counting.

The InCISE score is a promising tool for assessing wound healing in head and neck surgery but needs more research for broader use.

The model helps improve medical devices by showing how skin deforms under pressure.

Virtual surgical planning improves efficiency, coordination, and precision in complex surgeries.

A standardized scoring system is needed to improve model reliability for predicting hair loss in brain tumor patients treated with proton therapy.

Presurgical models can effectively and affordably screen cancer prevention agents.

Researchers created a simple tool to predict bladder blockage from prostate enlargement using urine flow rate and prostate volume.

The PRECISE scale helps estimate how many grafts are needed for hair transplant based on the severity of hair loss.

An algorithm was created to simplify lip reconstruction after surgery.

A new training model using an orange helps surgeons practice parietal whorl hair transplants effectively.

The new device improves surgical accuracy by using a special dye and camera to see inside tissues.

A new method helps ensure long-lasting hair transplant results by accurately calculating the donor area.

Outpatient aesthetic and reconstructive surgeries are about equally profitable in Academic Health Centers and Ambulatory Surgery Centers when time is considered, but dedicated surgery centers are generally more profitable.

A manual blood cell counter was effectively used to count hair follicles during surgery, being user-friendly and cost-effective but limited by a three-digit display.

Mathematical modeling can improve regenerative medicine by predicting biological processes and optimizing therapy development.

3D virtual planning can help in precise skull reconstruction for advanced skin cancer, but patient-specific factors must be considered.

Neoadjuvant chemotherapy followed by surgery leads to fewer severe complications and better quality of life than immediate surgery in advanced ovarian cancer patients with high tumor load.

The EMG-to-force model accurately predicts hip muscle forces during walking.

The new AI software predicts melanoma outcomes more accurately than traditional methods.

AI can effectively predict COVID-19 mortality risk using patient data.

The model and estimator can predict drug exposure in kidney transplant patients well.

The study concluded that the new wound model can be used to evaluate skin regeneration and nerve growth.

Targeting the narrowest part of the anterior chamber angle may help prevent pupil block in glaucoma.

The model improves understanding of androgen interactions by focusing on signal intensity and system capacity.

Cone beam computed tomography can allow for smaller safety margins around the target area in prostate cancer radiation treatment if used for ongoing treatment checks.

Model improves accuracy in predicting hair loss effects.

The tool accurately tracks eyebrow hair loss in chemotherapy patients.