🔍 Intelligence Synthesis JP/EN
Ethics · Regulation · Technology — Pharma Practice Notes
Article digest · Nov 8 AM

AI in Medicine — what each story says

Every story in this issue with a short summary, so you can decide what to read before leaving the site. Summaries are written by AI (Claude) only from each publisher's own description and checked by Jev for anything not in that description. They are not full translations. Follow "Read the original" for the full story.

28 stories19 with summaries9 topics

🩻 Diagnosis and imaging5

Diagnostic Imaging11/07 15:36 UTC

New Study Shows Benefits of AI Analysis for Ultrasound Reports and Incidental Findings of Hepatic Steatosis

In a recent interview, Gadi Lalazar, MD, discussed new research on natural language processing (NLP). The research shows NLP can improve recognition of incidental hepatic steatosis in ultrasound reports.

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Bioengineer.org11/07 15:53 UTC

Ultrasound radiomics with machine learning shows modest accuracy in assessing fetal ventricular disproportion

A retrospective single-centre study found that echocardiography-based radiomics with machine learning achieved only moderate accuracy in distinguishing fetal ventricular disproportion.

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Clinical Lab Products11/06 19:09 UTC

FDA Grants Breakthrough Device Designation to Cleo Skin AI Pathology Tool

The FDA granted Breakthrough Device Designation to Primaa's Cleo Skin AI pathology tool. The tool now has both CE-IVDR and FDA status.

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Bioengineer.org11/07 16:23 UTC

AI ECG Model Validates as Heart Attack Triage Adjunct

A prospective diagnostic cohort study validated an AI-ECG algorithm as an adjunct to troponin tests for early heart attack diagnosis. The study took place in European emergency departments.

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Bioengineer.org11/07 12:23 UTC

Machine learning sharpens leukemia diagnosis but waits on rigorous validation

A literature review finds that machine learning and bioinformatics have improved AML classification and risk stratification. Clinical implementation remains limited by retrospective designs.

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🩺 Clinical decision support4

Bioengineer.org11/06 20:57 UTC

Machine Learning Model Predicts Respiratory Distress Risk in Acute Pancreatitis Patients

A random forest machine learning model achieved strong predictive performance for acute respiratory distress syndrome among critically ill patients with acute pancreatitis.

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Bioengineer.org11/06 19:02 UTC

Machine learning model predicts kidney injury in children with sepsis

An explainable XGBoost model using eight routine clinical parameters predicted sepsis-associated acute kidney injury in 3,437 children across five Chinese intensive care units. It outperformed pSOFA.

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📝 Generative AI, documentation and records1

ANI News11/07 10:11 UTC

Dimension NXG Launches OJAS Forward Deployed Engineering to Take Hospital AI From Pilot to Patient, Six Months Ahead of India's Data Protection Deadline

Mumbai-based deep-tech company Dimension NXG (DNXG), the maker of AjnaLens, announced on November 7 the launch of OJAS Forward Deployed Engineering (FDE). The new division places engineering teams directly inside hospitals, health systems and government health programmes to take clinical AI from pilot to everyday use.

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🏥 Hospital operations and care delivery4

TradingView11/06 06:00 UTC

DOCS Q3 CY2026 deep dive: AI-driven product expansion meets margin compression

Doximity (NYSE:DOCS) reported calendar Q3 2026 (fiscal Q2 2027) results that beat Wall Street's revenue expectations, with sales up 3.6% year on year to $174.5 million. The company expects next quarter's revenue to be around $195.5 million, close to analysts' estimates.

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The Straits Times11/06 06:32 UTC

Home-based patient care among AI applications being tested at next-gen 5G, 6G research centre

NUHS, Singtel and Ericsson have launched a research centre. It will test AI, 5G-Advanced and 6G for home-based patient care and hospital robots.

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💊 Drug discovery and clinical trials4

Bioengineer.org11/05 21:53 UTC

AI drug discovery tools dominated early-stage pharma research after COVID-19, review finds

A systematic review of 57 studies finds that AI-enabled Pharma 4.0 tools after COVID-19 concentrated on early-stage drug discovery metrics. The review found limited evidence of clinical benefit.

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The Korea Times11/06 02:37 UTC

SK Biopharmaceuticals builds massive AI dataset to speed up drug discovery

SK Biopharmaceuticals, a Korean firm focused on developing original prescription drugs, has built a massive artificial intelligence dataset.

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⚖️ Device approvals and regulation2

Crowell & Moring LLP11/06 07:03 UTC

FDA's AI in Early Phase Clinical Trials RFI: An Opportunity to Help Set the Rules of the Road

The FDA has issued a Request for Information (RFI) seeking input on AI in early-phase clinical trials. The RFI is consistent with recent FDA initiatives on leveraging AI technologies and improving early-phase clinical trial conduct.

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ad-hoc-news.de11/07 11:26 UTC

Roche Holding stock gains AI and diagnostics catalysts

Roche Holding stock enters the weekend after an AI drug discovery tie-up and a new U.S. respiratory announcement.

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⚠️ Safety, errors and bias3

The National Law Review11/06 18:34 UTC

Who Gets to Be Wrong? The Double Standard Shaping AI Accountability in Healthcare

A Georgia Tech analysis published in Nature Health in September mapped 31 U.S. lawsuits involving AI tools in healthcare. Its authors concluded that accountability should extend well past the physician at the bedside. Courts have only begun to sort out who answers when an algorithm errs.

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Digital Health News11/06 04:24 UTC

Transparency is Not Accountability: What Hospitals Can Learn from the Challenges of Open AI Models

Generative AI is transforming clinical decision support, but citations alone do not ensure transparency or accountability. The article explores evidence bias, commercial influence and clinical oversight. It highlights how UpToDate Expert AI combines AI capabilities with expert-reviewed clinical content.

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🔬 Research results (major journals)2

Carnegie Mellon University11/06 20:25 UTC

K&L Gates–CMU Conference Examines the Opportunities and Challenges of AI in Medicine

Experts in artificial intelligence, medicine, ethics, law and policy gathered at Carnegie Mellon University on Nov. 5. The occasion was the K&L Gates Initiative in Ethics and Computational Technologies conference on Artificial Intelligence in Medicine: Opportunities and Challenges.

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🇯🇵 Medicine and AI in Japan3

Vietnam.vn11/07 14:57 UTCJapanese

Medical Training: Simulation and AI Cannot Replace Clinical Practice

According to experts, 3D simulation technology and artificial intelligence open up many possibilities. They cannot, however, replace direct clinical training in medical education.

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Diamond Chain Store Online11/06 22:09 UTCJapanese

Yakuodo Updates AI Skin Diagnosis Feature [Weekly Drugstore News]

Yakuodo, which operates more than 400 stores mainly in the Tohoku region, opened its Yakuodo Mobara Oshiba store in Mobara, Chiba Prefecture, on Nov. 6. The store is on the site of a food supermarket, Kasumi, that closed in 2024.

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The analysis and visual summary are in the Nov 8 AM issue. Japanese version here.