The Pulse: How AI Sees What Doctors Can’t

Sep 22
5 min read

With Janine Rotter, Women's Health Coach

Hey beautiful,

AI isn’t coming. It’s here. It’s rewriting healthcare, redrawing the lines of diagnosis, and cracking codes that once left women dismissed, misdiagnosed, or worse, unheard.

And while the headlines talk about algorithms, what I see is this:

Faster answers. Earlier prevention. More power in your hands.

This week inside The Pulse, we're diving deep into the latest research showing how AI is reshaping everything from menopause support to fake video detection. (Yep, we’re going there.)

These aren’t just theories or trends. The research is real, and it’s changing everything about how women are supported through health, hormones, and healing.

Grab your coffee (after your protein, of course)....

Let’s pulse.

🧬 The Future of Breast Cancer Screening Is Here, And It's Learning Fast

AI isn’t just scanning charts, it’s reading between the lines of your biology.

Recent research shows how deep learning models are transforming breast cancer screening, especially in mammography. These AI-powered systems are starting to match, and in some cases surpass, radiologists in detecting early signs of breast cancer, improving both accuracy and risk prediction. But here’s the soul-forward truth: early detection isn’t just data, it’s survival. And while challenges like data privacy and database size remain, the promise is clear. With FDA-approved tools already in use, AI isn’t coming to breast health... it’s here.

🧬 AI in Cervical Cancer Screening: Smarter, Sooner, Safer

New research is showing just how powerful AI can be in early cervical cancer detection. In 2019, scientists developed deep learning models that could analyze cervical cell images with stunning precision. One model, using a Mask R-CNN (a type of AI built for image recognition), accurately identified abnormal nuclear features on histology slides with 91.7% accuracy, sensitivity, and specificity. Another team trained a model on over 2,800 cytology images, both normal and precancerous, and achieved a sensitivity of 95.6% and a negative predictive value of 99.1%, making it a valuable safety net for screening. In a large-scale observational study using over 188,000 images, a deep learning algorithm detected up to 96.1% of high-grade cervical lesions (CIN 3), performing just as well as expert cytologists, and with even greater specificity.

These tools aren’t replacing your provider. They’re helping them see more, sooner, making screenings more accurate and potentially saving lives.

🩸 Endometriosis Breakthrough: AI + Bloodwork, No Surgery Needed?

Right now, many women spend years chasing a diagnosis for endometriosis, often requiring invasive surgery just to get answers. But that could be changing. A 2019 study out of Turkey explored the use of AI and a non-invasive method called Raman spectroscopy, which analyzes subtle changes in molecules found in the blood. Using machine learning (specifically, the k-Nearest Neighbors algorithm), researchers trained a model that could distinguish between women with and without endometriosis.

The results?

Up to 100% accuracy when tested on new data. That means AI could eventually help detect endometriosis with just a blood sample... no more guesswork, no more years of gaslighting, and no more unnecessary surgeries. Just information, finally on your side.

🧬 Ovarian Cancer: How AI Is Boosting Ultrasound Accuracy

When it comes to detecting ovarian cancer, timing is everything. But the tools we’ve relied on, like transvaginal ultrasounds, haven’t always been enough. That’s why researchers are turning to AI to sharpen the clarity.

One recent deep learning model combined ultrasound imaging with patient age and achieved a staggering 98.8% accuracy in classifying ovarian masses. Another study using three powerful algorithms (VGG16, ResNet50, and MobileNet) found that AI matched expert-level performance, evaluating over 3,000 images with over 95% sensitivity.

Even more impressively, in a multicenter study analyzing nearly 600,000 images, AI outperformed radiologists in identifying ovarian cancer. These early wins suggest that AI could revolutionize ovarian cancer screening, making early detection more accessible, even in underserved areas. While more research is needed, the message is clear: when precision meets compassion, women win.

🌙 AI & Menopause: Smarter Support for a Smarter Season of Life

Menopause is not a one-size-fits-all journey, and AI is finally treating it that way. New tools are emerging that can identify women at higher risk for menopause-related complications like osteoporosis, heart disease, and even cognitive decline.

By weaving together clinical records, genetics, and lifestyle data, machine learning models are now offering deeply personalized risk assessments, helping practitioners act earlier and with more precision. One such study demonstrated how AI could accurately predict the risk of osteoporotic fractures in postmenopausal women, leading to earlier bone-strengthening interventions.

And when it comes to real-time support?

AI-powered virtual assistants, just like those I've created, are becoming game changers for symptom management. These tools track things like mood shifts, sleep quality, and hot flash patterns to deliver tailored suggestions, whether it's a diet tweak, a supplement shift, or a conversation to have with your doctor. From hormone therapy options to alternative healing paths, AI is becoming the ally women have always deserved, smart, supportive, and in tune with every stage of our transformation.

💡 Why it matters: Early detection gives us choice. Time. Power. And if AI can help even one woman avoid a delayed diagnosis? That’s a revolution worth leaning into.

✨ Bottom Line: AI is already improving women's health care through earlier detection, more personalized treatments, and better prevention tools. And this is exactly why I built In The Moment AI Coaching: to bridge the gap between symptoms and solutions.

⭐Testimonial Spotlight: In The Moment AI Coaching as Your Health Bridge

💬“Janine provided me with an in-depth Empowered Health Analysis Report. This review gave me the tools and confidence to effectively and efficiently communicate with my medical team. My doctors supported her recommendations, and I’m already seeing positive results.” Kim B.

💬"I walked into my OBGYN appointment with a list of symptoms, cycle notes, and three questions Janine helped me craft. I felt heard for the first time." Monica R.

💬"Before I came to you, I thought I was losing it completely. Literally suicidal crazy." Anonymous

💬“As a physician, I've seen many of Janine's Empowered Health Analysis Reports, and each time I've been impressed by how comprehensive they are... I have used her AI tools to create handouts, find nutritional information for specific genetic SNPs, and assist in creating templates for specific protocols.” Dr. Stephanie Bailey