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18 Feb 2026

Tempus AI stock rises 3.5% after unveiling HRD-RNA algorithm for cancer detection

Tempus AI shares climbed Wednesday following the launch of its new HRD-RNA algorithm, an AI-driven tool designed to detect homologous recombination deficiency in tumors. The algorithm analyzes gene expression to identify patients who may benefit from platinum-based chemotherapy or PARP inhibitors, offering a more dynamic assessment than traditional genomic methods.

2 Sources

Workers Face New Psychological Condition as Fear of Job Displacement by AI Takes Mental Toll

University of Florida researchers have identified a new clinical condition called AI replacement dysfunction (AIRD), describing the psychological distress workers experience from constant fears of being replaced by artificial intelligence. With 71% of Americans worried about permanent job losses, the condition manifests through anxiety, insomnia, and identity confusion, prompting calls for standardized clinical recognition and treatment protocols.

3 Sources

17 Feb 2026

India launches SAHI and BODH initiatives to advance safe AI in healthcare at AI Impact Summit

Union Health Minister JP Nadda unveiled two pioneering digital health initiatives—SAHI and BODH—at the India AI Impact Summit 2026 in New Delhi. The launch marks a significant step toward safe, ethical AI deployment in India's healthcare ecosystem. SAHI provides a governance framework for responsible AI use, while BODH offers a platform for testing and validating AI solutions before large-scale deployment.

10 Sources

11 Feb 2026

Ant Group bets on AI healthcare as next growth driver in China's $69 billion digital health market

Jack Ma-backed Ant Group has elevated its health unit to match Alipay's status, betting AI-powered healthcare will fuel its next decade of growth. The company aims to reach 1.4 billion Chinese users within three years using AI Doctor Agents and its AQ healthcare app, which already handles 10 million daily questions. But profitability remains uncertain in a competitive digital health sector.

2 Sources

09 Feb 2026

MIT's AI Algorithm Unlocks Brainstem Imaging, Revealing Signs of Parkinson's and Brain Injury

Researchers from MIT, Harvard, and Massachusetts General Hospital have developed the BrainStem Bundle Tool (BSBT), an AI-powered software that automatically segments eight distinct nerve bundles in the brainstem using diffusion MRI. The tool revealed distinct patterns in patients with Parkinson's disease, multiple sclerosis, traumatic brain injury, and Alzheimer's, and tracked a coma patient's 7-month recovery.

2 Sources

AI chatbots fail to improve medical advice for patients, Oxford study reveals

A University of Oxford study published in Nature Medicine found that AI chatbots offer no advantage over internet searches when patients seek medical advice. Despite large language models achieving 94.9% accuracy in controlled tests, real-world human-AI interaction in healthcare revealed a troubling gap between AI potential and performance, with patients struggling to provide complete information and receiving inconsistent advice.

14 Sources

AI in surgery faces scrutiny as TruDi Navigation System linked to strokes and patient injuries

A Johnson & Johnson surgical device saw malfunctions surge from 7 to over 100 after adding AI, with at least 10 patients injured. Two stroke victims have filed lawsuits alleging the TruDi Navigation System's AI contributed to botched surgeries, including skull punctures and arterial injuries. The incidents highlight growing concerns about inadequate safety standards as the FDA approves AI-powered medical devices at an accelerating pace.

3 Sources

AI stethoscope doubles detection of heart valve disease, outperforming traditional methods

New research shows artificial intelligence-powered stethoscopes can detect heart valve disease with 92% accuracy compared to 46% using traditional methods. The AI algorithm identified twice as many cases of previously undiagnosed moderate-to-severe disease, potentially enabling earlier treatment and saving thousands of lives.

3 Sources

06 Feb 2026

University of Michigan's Prima AI model reads brain MRI scans in seconds with 97.5% accuracy

Researchers at University of Michigan developed Prima, an AI model that analyzes brain MRI scans and delivers diagnoses in seconds with up to 97.5% accuracy. Trained on over 220,000 MRI studies, Prima can prioritize emergency cases like strokes and brain hemorrhages, automatically alerting specialists. The system aims to address growing radiology shortages and reduce diagnostic delays across health systems.

4 Sources

03 Feb 2026

Contextual Errors Keep Medical AI From Reaching Its Full Potential in Clinical Settings

Harvard Medical School researchers have identified contextual errors as a major barrier preventing medical AI from transitioning into real-world clinical use. Despite thousands of models being developed, very few succeed in hospitals because they lack critical information about medical specialty, geographic location, and socioeconomic factors needed for accurate patient care.

2 Sources

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