MRI-ultrasound AI model beats radiologists on specificity; Toumai robot matches da Vinci in radical prostatectomy

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An AI model combining MRI and transrectal ultrasound images showed higher specificity than radiologists' MRI reading in a 110-patient prostatectomy cohort, a BJU International study found. A prospective study found comparable short-term radical prostatectomy outcomes on the Toumai and da Vinci robots.

  • AI Oct 20, 2026
    An AI model that combines MRI and transrectal ultrasound images, developed in two MRI-ultrasound fusion biopsy cohorts totaling 3,000 patients, was validated in an independent radical prostatectomy cohort of 110 patients, according to a study published online Oct. 20 in BJU International. The model showed higher specificity than radiologist MRI interpretation, 0.88 versus 0.78 (P = .004), with no observed difference in sensitivity (0.79; P = 1.000). The authors said the findings show the potential of combining MRI and ultrasound in a multimodal model.
  • Technology Oct 23, 2026
    A single-center, prospective, nonrandomized study published Oct. 23 in the Journal of Robotic Surgery compared robotic radical prostatectomy on the Toumai platform with the da Vinci platform in 200 patients, 100 on each. Operative time (215.0 versus 200.3 minutes, P = .001) and console time (193.6 versus 178.0 minutes, P < .001) were longer with Toumai, while overall complications, 18% versus 10% (P = .103), and positive surgical margins, 19% versus 17% (P = .713), did not differ significantly. The authors said the platforms showed comparable short-term oncological, functional and complication outcomes.

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