AI Healthcare
Mysuru cancer hospital deploys AI MRI and offers free scans for tobacco users
By Arjun
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14 Aug 12:09 AM
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Via The Hindu
Bharat Hospital and Institute of Oncology in Mysuru launched an AI-powered MRI and will offer free Sunday scans for smokers and tobacco users for four weeks, The Hindu reported. Radiologists say Deep Resolve and My Assist cut scan time from about 20 to 30 minutes to 10 to 15 minutes while improving image quality, with blood samples collected for cancer biomarker study during the pilot. Chairman B.S. Ajaikumar framed the push around tobacco-linked cancer risk locally. The hospital presents the system as clinician assist, not autonomous diagnosis. It is a single-centre rollout with a short free window, so wider expansion depends on still-unpublished pilot results.
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Nature Medicine reports two experiments with 623 lay people and 153 primary care physicians using a fairness-trained dermatology model plus explainable AI, including multimodal LLM explanations. Balanced skin-tone performance improved final accuracy and reduced skin-tone gaps for both groups. Effects of explanations diverged: lay users showed stronger automation bias, gaining when the model was right and losing when it erred, while experienced physicians stayed more resilient and still benefited. Showing the AI diagnosis before a human decision also risked stronger anchoring. The work is task-specific dermatology in controlled trials, so clinics should not assume the same pattern holds for every specialty or explanation style.
Union Health Minister J.P. Nadda released a Praxis-FICCI knowledge paper, AI in MedTech, at India Medical Device 2026, arguing India has digital foundations but not yet an ecosystem for routine clinical AI. The note, covered by ETHealthworld, flags AI diagnostics as the first large-scale use case and lists priorities around better data and evidence, lifecycle rules for adaptive models, and procurement plus reimbursement paths. It cites ABDM, IndiaAI, SAHI, BODH, and the 2023 medical devices policy as starting points. The paper is guidance, not a binding CDSCO rule change, so hospitals still face the same reimbursement and liability gaps.
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IIT Madras-incubated Plenome deployed Ashwin AI at AIIMS New Delhi after winning BHASHINI's multilingual healthcare transcription challenge and Rs 35 lakh in pilot support, The Times of India reported. The system turns doctor-patient speech into structured records and prescriptions for high-volume government clinics. Founders say it handles Hindi, Tamil, Telugu, Gujarati and other Indian languages with about 10 to 12 second latency, and has generated more than 45,000 AI-assisted prescriptions, with Apollo Telehealth and NIC-supported hospitals also deploying it. That matters for public-hospital AI that must work in regional languages. The caveat is that accuracy and safety claims still need independent clinical audit.