
Women's imaging vendor Hologic saw revenues fall 7% due to the loss of sales from its Cynosure division, which it sold off in January. But the company said that organic revenue was up over 1% after currency adjustments.
For the second quarter (end-March 28), Hologic reported revenues of $756.1 million, down 7.1% after adjustment for currency changes, compared with sales of $818.4 million in the corresponding quarter of fiscal 2019. The company's net income for the most recent period was $94.8 million, compared with a net loss of $272.6 million in the same period the year before.
The company said that the COVID-19 pandemic had an impact on sales in late March, as many elective procedures were postponed. However, Hologic believes it will emerge from the crisis as a stronger company, especially due to demand for its diagnostic products to detect SARS-CoV-2 infection.
In highlights from its various business units, the company's Breast Health segment posted sales of $307.8 million, down 4.3% compared with $321.5 million the same quarter the year before. The company's Diagnostics division had second-quarter sales of $319.2 million, up 7.6% compared with $296.7 million in the second quarter of 2019.


![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=100&q=70&w=100)






![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)







