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The study concluded that both anti-Mullerian hormone and LH/FSH ratio are higher in women with PCOS and combining these markers with BMI could improve diagnosis accuracy.

AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.

Scientists developed a cheaper, but slower, method to measure minoxidil in hair loss treatments with high accuracy.

In 2020, a new online survey was made to help identify Polycystic ovary syndrome (PCOS) in women, but it needs some improvements for better understanding and accuracy.

The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.

The authors defended their methods for measuring hair density and caliber, emphasizing the need for consistent photography and manual counting for accuracy in evaluating hair loss treatments.

IFHUT shows better hair growth than FUE, but needs improvements in positioning, speed, and accuracy.

Researchers created a reliable method to detect hair-growth substances in products.

The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.

Researchers developed a simple and accurate method to measure Minoxidil in tablets using UV light.

The AI tool helped primary care doctors and nurse practitioners diagnose skin conditions more accurately.

The HoVert technique is a simple, cost-effective new method that improves alopecia diagnosis by allowing detailed analysis from a single biopsy.

A new method can better diagnose eruptive vellus hair cysts.

Dermoscopy helps accurately diagnose and treat epidermal cysts.

Teledermatology is highly effective for diagnosing and managing hair loss.

Using 17-hydroxyprogesterone levels to diagnose nonclassic congenital adrenal hyperplasia can result in many incorrect diagnoses.

Free Testosterone Index, bioavailable testosterone, and androstenedione are the most accurate for diagnosing excess male hormones in PCOS.

LC-MS/MS is more reliable than immunoassays for diagnosing 21-hydroxylase deficiency.

GoogLeNet is the best model for identifying folliculitis.

Finasteride use is linked to a lower risk of bladder cancer, especially in Caucasians and Hispanics.

Dermatologists diagnose and manage melanoma more effectively than general practitioners.

The conclusion is that recognizing hair growth cycles can improve the precision of dietary and health assessments from hair analysis.

Dermoscopy has greatly improved the diagnosis of skin lesions and our understanding of their morphology and biology.

Robotic surgical systems are being used more in plastic and reconstructive surgery due to their precision and control, improving patient outcomes and satisfaction, despite challenges like high costs.

The new SLICC criteria for diagnosing lupus are more sensitive and accurate than the old criteria.

Dermoscopy has improved skin cancer diagnosis and has expanding applications in dermatology, but requires staying updated with new research and techniques.

The conclusion is that detailed clinical descriptions help pathologists diagnose hair loss conditions more accurately.

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

Choosing the right recall period for patient feedback is important for accurate data and depends on the disease, symptom changes, and patient impact.

SIP is a better method for measuring hair growth accurately.