Sevamob

Sevamob

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Photos from Sevamob's post 04/01/2026

We are proud to share a moment of recognition from our partner SMFG at its recent Annual Meet in Goa, where our units were honored for their outstanding contributions.

🏆 Chhapra Unit – Awarded for Remarkable Potential & All Round Performance
🏆 Sikar Unit – Recognized for Government Linkages & Celebration of Special Days
🏆 Agra Unit – Honored with the Consistent Performer Award
🏆 Khandwa Unit – Awarded for Best Gramshakti Linkage
🏆 Amravati Unit – Recognized for Exceptional Ex*****on

These achievements reflect the dedication, hard work, and impact created at the grassroots level. Congratulations to all teams for their inspiring efforts and commitment!

Photos from Sevamob's post 01/02/2026

Sevamob starts primary healthcare service in partnership with NTPC Kawas

09/27/2025

Sevamob LabReportAI: Automated Clinical Lab Report Analysis

Sevamob has developed LabReportAI, an artificial intelligence tool designed to analyze patient laboratory reports in diverse formats including images, PDFs, and structured form inputs. The system generates both “Results” and “Recommendations” to support clinical decision-making.

In a clinical study involving 140 patient cases, Sevamob LabReportAI outputs were compared against an independent panel of physicians who reviewed the same laboratory reports. Out of 140 cases, the AI system successfully provided results in 134 cases (95.7%). Six cases yielded no AI output due to report quality or data parsing limitations or not sufficient details available to produce results and recommendations. Of the evaluable cases, concordance with the physician panel was observed in 133 out of 135 cases (98.5%). Only one discordant (incorrect) result was noted.

These findings suggest that Sevamob LabReportAI demonstrates high accuracy and reliability, with potential for augmenting physician workflows in routine lab data interpretation while reducing turnaround time. Further large-scale validation studies are warranted to assess scalability across diverse patient populations and lab reporting formats.

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