The Clinicians That Code archive

Dr Petrina N. Harrison, DNP, APRN, AGCNS-BC, a board-certified adult-gerontology clinical nurse specialist at VA Palo Alto and founder of the nonprofit HopeCare Global, launched OvaTrack, a free app for women to record…

the MD behind MeDucation AI posted an inventory of the software he has built, including MeDucationAI and alMastudy, and says he is now working on enterprise oncology software and an AI fax pipeline .

the Edmonton nephrologist and medical informatics lead shipped a working Getting Things Done tool after struggling with off-the-shelf options, sharing a screenshot of the result .

the private-practice physician is building a clinical harness where doctors can build, train and deploy their own AI doctors in production for real patient care

Wiki Milczyńska, MD, reports her chronic care app Moya Health reached the Product Hunt top 30 and its first paid yearly plan within eight weeks of launch .

the oncologist built and shipped a heme/onc podcast player sorted by cancer type, free at meducationai.com, after losing time during training hunting for relevant episodes

AI adoption more than doubles in almost every EU strategic sector

by Fan Yang, Wei Wang, Fangyi Chen, Zhichao Wang, Yifan Wang, Tianchen Qi, Zhazheng He, Shuang Liang, Qingyin Bu, Xirui Qiu, Dong Jiaqing, Shuai Ren, Juncheng Dai, Xiaoxiao Wang Allostatic load (AL), a composite…

An artificial intelligence framework for end-to-end rare disease phenotyping from clinical notes using large language models

by Benjamin Filtjens, Vida Adeli, Soroush Mehraban, Andrea Sabo, Babak Taati, Andrea Iaboni Drug-induced parkinsonism is a potentially reversible movement disorder that may be subtle and difficult to monitor in…

by Nato Gzirishili, Mehar Grover, Resham Sethi, Mariam Beridze, Tomas Roubal, Lela Sulaberidze, Karapet Davtyan, Silviu Domente, Karthik Adapa National digital health strategies (DHS) are widely recognized as essential…

by Soutongnoma Safiata Kaboré, Azadeh Bayani, Léandre Parfait Epoh Ewane, Davllyn Santos Oliveira dos Anjos, Jean Noel Nikiéma, Muriel Mac-Seing Artificial intelligence (AI) is rapidly transforming healthcare. Yet…

Background: The COVID-19 pandemic necessitated innovative approaches to health communication, particularly for non; English-speaking communities. Vietnamese Americans, who report lower rates of English proficiency,…

Eurobarometer survey highlights growing use of AI in European companies

Background: Large language models (LLMs) are increasingly used to quantify psychological constructs from natural language, yet their outputs are typically evaluated only as predictions of an external label. When that…

From research to clinical practice: Expert consensus on Neuroimaging AI tools for the Memory clinic (Neuro-AIM)

by Craig Eling, Alan M. Rosenberg, Jennifer N. Stinson, Maryam Mehtar, Jasmin Bhawra, Roona Sinha, Donna Goodridge Digital health (DH) technologies have the potential to benefit pediatric patients with rheumatic…

Implementation and effectiveness of a smartphone app targeted at improving physicians adherence to antimicrobial treatment guidelines

Background: Musculoskeletal (MSK) conditions account for one in seven general practice consultations in the United Kingdom. Despite national guidelines, suboptimal care remains common. Digital clinical decision support…

The Medicines and Healthcare products Regulatory Agency (MHRA) has set out ambitious plans to translate cutting-edge scientific and technological innovation into better health outcomes for patients across all four…

by Paolo Rocco, Valentina Pagella, Umberto M. Musazzi, Sara Manellari, Elena Paola Lanati, Paola Minghetti CDigital therapeutics (DTx) are software-based medical devices that deliver evidence-based therapeutic…

by Mei Chen, Shibin Wang Large language models (LLMs) can produce patient-friendly adaptations, such as simplifying specialized medical literature for readers with a middle school education. However, any distortion of…

Solving operating room scheduling problems using large language model based multi-agent architecture

by Nina Parchmann, Marcin Orzechowski, Daniel Braun, Florian Steger The use of Artificial Intelligence (AI) for image-based diagnostics is rising rapidly and enables new opportunities for improving clinical diagnostics…

Background: The growing impact of generative AI (GenAI) on medical education has given rise to many reviews discussing AI literacy, trustworthiness, potential uses, and institutional or faculty benefits. However, there…

Digital behavior change interventions (DBCIs), including smartphone apps, wearable devices, and AI-driven adaptive systems, have become a dominant approach for promoting changes in health-related behavior. Although…

by Guanjin Wang, Hachem Bennamoun, Wai Hang Kwok, Rehan Raza, Ferdous Sohel, Bridgette Kelly, Trish Ratajczak, Corinne Reid, Rhonda Marriott, Roz Walker, Jayne Kotz, Tracy Reibel Despite their strengths, Aboriginal…

TrajOnco: a multi-agent framework for temporal reasoning over longitudinal EHR for multi-cancer early detection

Dr Paul Miller - our new CCIO - explains how clinically driven open standards transform digital health...

A “growth mindset of mental health” intervention increases the likelihood of initiating self-help on a mental health app: a randomized controlled trial

by Ann-Sophie Stratil, Steffeni Papukchieva, Julia Steinmetz-Späh, Natalie Joschko, Lars Masanneck, Benjamin Friedrich, Tjalf Ziemssen Brisa , a companion app designed for multiple sclerosis (MS) patients, can support…

by Da-cheng Wang, Yan-pin Liu, Yu-ting Wang, Xiao-huan Zhuang, Xiao-peng Yin, Xin-yuan Zhang, Yan Zhuang Sepsis-related myocardial injury (SRMI) is associated with high mortality, but the transportability of prediction…

Author Correction: Large language models are powerful electronic health record encoders

As the UK signals hospitals may have to report serious AI incidents and near misses, Grimes argues the duty should sit in DCB0129/DCB0160 hazard logs rather than a parallel reporting route .

Background: Sit-to-stand and sit-to-walk are common functional movements that provide insight into an individual’s functional mobility. Developing comprehensive measures of these movements using ear-worn inertial…

Electronic health record developer adherence to federal AI risk transparency requirements

The clinician-authored analysis points to racial sensitivity gaps in the clearance filing (26 per cent for Black versus 51 per cent for white patients) and to clinicians pasting chart content into frontier models as an…

EU and Ukraine deepen cooperation on cyber security at 5th Cyber Dialogue

Model-dependent prompt effects challenge reliable deployment of medical LLMs in traditional Chinese medicine

Realizing the value of the divergence event in clinical human-AI interaction

Special meeting of the AI Scientific Panel

The Commission encourages the EU Code Week community to explore, imagine and have fun in the age of AI

Dr Somayeh Abedian joins the openEHR International CiC board as Individual Representative; Tomaž Gornik continues as Chair and Industry Representative.

This position paper introduces young carers as a key stakeholder within AI. Research on AI for health care endeavors to assist and optimize current health care services; yet, young carers have been neglected thus far.…

An agentic AI system for multi-framework communication coding

Artificial intelligence across the medical education continuum: institutional, learning, readiness and safety systems

Commission holds special meeting of Scientific panel on frontier AI safety and risks

Background: Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in children, characterized by core symptoms of hyperactivity, impulsivity, and inattention, in addition to cognitive…

Background: Limited recent literature has evaluated the use of large language models (LLMs) in the qualitative analysis of health data; more research is needed to expand the generalizability of LLM use and to evaluate…

FHIR-AgentEval: a modular sandbox for benchmarking clinical LLM agents with memory-augmented configurations

Background: Depressive disorders are one of the most prevalent psychiatric disorders globally and impose considerable individual and societal burdens. Psychotherapy, including cognitive behavioral therapy, is…

Millions of people across England can now get an alert on their smartwatch or mobile when their prescription is ready to be collected. The new alerts are being introduced following the success of the ‘Amazon-style’…

by Hui Zong, Jiao Wang, Jiaxue Cha, Rongrong Wu, Shanshan Hu, Yan Zhao, Bairong Shen Large language models (LLMs) such as GPT-4 and DeepSeek have shown potential in medical education and assessment. In China, the…

Background: The pharmaceutical industry faces unprecedented challenges, including declining drug approval rates, plummeting research and development returns, and escalating protocol complexity. Digital transformation…

by Taylor B. Harrison, Dian Hu, Heling Jia, Shyang Hong Tan, Fang Chen, Zhongyu Zhang, Qiuhao Lu, Jinlian Wang, Liwei Wang, Ming Huang, Larry J. Prokop, Matt Hoy, Jennifer St. Sauver, Sunyang Fu, Hongfang Liu…

Six pragmatic steps to separate medical GenAI’s promise from its inherent dangers

Background: Generative artificial intelligence (GAI) chatbots are frequently used for mental health; related questions, including suicide-related queries. User interfaces (UIs) may include additional safety controls…

VOICE-AE: automated CTCAE scoring from ambient clinical audio using speech recognition and large language models

A scoping review of digital health technologies in glycogen storage diseases

Background: Carotid ultrasound is traditionally confined to specialist settings because examination quality and diagnostic reliability are highly dependent on the operator’s technical skill and experience. Recent…

by Sergey Protserov, Anastasiia Repalo, Pouria Mashouri, Jaryd Hunter, Caterina Masino, Amin Madani, Michael Brudno Machine learning models have seen a lot of success in medical image segmentation domain. However, one…

Artificial intelligence for opportunistic osteoporosis screening on chest radiographs

Beyond language: embodiment, interpersonal synchrony, and multisensory interaction in AI-mediated psychotherapy

Background: Digital health increasingly depends on data exchange across institutions, technologies, and jurisdictions, creating persistent challenges for the governance of access, consent, interoperability, provenance,…

Jeeva Sam and colleagues, Studies in Health Technology and Informatics: five current LLMs benchmarked on reproducing expert-validated statistical analyses (descriptive tables, Kaplan-Meier, Cox modelling); outputs…

Clinical trial applications advice pilot becomes permanent

Background: Fully remote online health research is vulnerable to fraudulent participation that can threaten data validity and divert study resources. Although fraud mitigation is increasingly necessary in online…

by Dania A. Bani Hani, Jafar A. Alshraideh, Hamza Alduraidi, Akram Saleh, Nathan T. Riek, Karam Daoud, Rui Qi Ji, Samir Saba, Clifton W. Callaway, Salah Al-Zaiti The 12-lead ECG is central to the evaluation of patients…

by Ilaria Durosini, Dario Monzani, Veronica Coppini, Maria Vittoria Ferrari, Chiara Bovolenta, Asia Grigis, Giuseppe Curigliano, Paola Zagami, Elisabetta Munzone, Ida Minchella, Francesca Magnoni, Fedro Alessandro…

Early epilepsy detection from electronic health records with large language models

Background: Chronic musculoskeletal pain is a major public health problem, and access to continuous, long-term care remains challenging. Digital health interventions may extend care beyond conventional settings;…

Background: Childhood anxiety disorders are common and lead to substantial negative long-term outcomes in various life domains. Although digital interventions for preventing childhood anxiety problems have been…

by Thomas O’Fee, Santosh Vijaykumar, Michael Craig There are over five-hundred-thousand individuals with recorded dementia diagnoses in England, highlighting an urgent need for scalable and effective care solutions to…

Background: The journey to parenthood involves significant physical, emotional, and psychosocial changes. Mental health challenges impact both maternal and fetal health, potentially leading to obstetric complications…

Governing cognitive labor delegated to AI in scholarly writing and medical education

Implementing and Scaling Artificial Intelligence in Low-Resourced Radiation Oncology: A Systematic Review of Deployments

Infant neurodevelopmental impairment detection via large-scale motion screening with generative learning

Background: As the population of survivors of cancer grows and new information technologies become widespread in Hong Kong, survivors of cancer increasingly seek ongoing care and support information from large language…

Payment models in pediatric digital health and their implications for innovation, policy, and access

by Shalom Rudorwashe Dube, Perez Livias Moyo, Methembe Yotamu Khozah Electronic Health Records (EHRs) are pivotal for improving healthcare data quality and service delivery. Despite the introduction of the Impilo EHR…

Background: Aphasia, an acquired language disorder that affects the ability to understand and produce language, significantly impairs effective communication. Large language models (LLMs) such as ChatGPT may help by…

Background: AI-enabled clinical decision support systems (CDSS) are being used in primary care, but their effects on clinical decisions and patient outcomes remain uncertain. Objective: This study aimed to synthesize…

by Clemens P. Spielvogel, David Kersting, David Haberl, Maximilian Autherith, Laurenz Hauptmann, Josef Yu, Juliane Hennenberg, Kilian Kluge, Kim Moon, Stephan Settelmeier, Jing Ning, Katarina Kumpf, Markus Köfler,…

AI is increasingly embedded in the institutions and environments that shape health. Yet current frameworks for understanding its implications for health equity remain underdeveloped. The social determinants of health…

AI-assisted telerehabilitation in early Parkinson’s disease: a multicenter, randomized, multi-arm comparative trial

This author reply responds to a Letter to the Editor commenting on our systematic review and meta‑analysis evaluating radiomics‑based artificial intelligence for predicting pathological response following neoadjuvant…

Calibrated AI approach to pharmacovigilance using FAERS

Commission registers European Citizens' Initiative for sovereign European AI domains

Background: Family caregivers of children with chronic health conditions experience substantial physical and mental health burdens, including burnout, anxiety, depression, fatigue, and sleep disturbances. Despite this…

Digital health capacity building across health workforce and education sector in the WHO European region

by Yi Liu, Vijaya B. Kolachalama Large language models (LLMs) are increasingly evaluated for clinical question-answering (QA) tasks, yet benchmark accuracy alone provides limited assurance of clinical reliability.…

Background: Prior microbiology results, resistance patterns, and antimicrobial exposure are central to safe and effective antimicrobial prescribing. Digital health fragmentation refers to the dispersal of patient data…

From quantitative features to imaging signs: agentic AI-driven autonomous discovery in glioblastoma

Ministers back independent Commission's blueprint in full, while the MHRA's AI Airlock opens its next phase,

Background: Assessing medication adherence is central to quality care, yet linking electronic health record (EHR) medication orders to outpatient pharmacy dispense data remains technically complex. Objective: This…

LLM-derived narrative metrics in chronic pain: convergent validity and novel cognitive constructs

Quality optimization with low positive factual hallucination for the HPI in hyperthyroidism admission notes using multi agent LLM with RAG

by Samuel Oluwatobi Atiku Artificial intelligence scribes use automatic speech recognition and generative language models to document clinical consultations, but official expectations for safe adoption are scattered…

This letter examines the interpretation and clinical translation of a meta-analysis of radiomics-based artificial intelligence (AI) for predicting pathological response after neoadjuvant immunochemotherapy in…

by Vishal Pendse, Nader Allam, Calvin C. Ngan, Elaine Lorette, Isabelle Morin-Girard, Jan Andrysek Socket fit is essential for successful upper-limb prosthetic devices, yet current design workflows remain…

Background: Cardiometabolic diseases (CMDs) are a major health concern worldwide, with people living in socioeconomically disadvantaged areas being disproportionately affected. Knowing one’s risk status for developing…

openEHR welcomes four new members, Heidi, Keisha, Severin and Paul, strengthening our clinical modelling and technical leadership.

by Alex Mirugwe Tens of thousands of AI diagnostic tools have been authorised for clinical diagnosis worldwide, justified primarily by benchmark accuracy (performance on a fixed, curated test dataset), a number that…

In a diagnostic study of 104 western blot and subcutaneous xenograft tumor images, a high-fidelity generative model produced forgeries that could alter the conclusions of a study; 24 PhD-level expert reviewers could…

Clinician-centered evaluation of large language model-generated discharge summaries for longer hospitalizations

Background: Social media platforms, particularly YouTube (Google LLC), are important sources of health information, but also significant vectors for misinformation and pseudoscience. While many studies analyze the…

EyeSeek: a large language model for screening and improving health literacy in primary eye care

Machine Learning Model Predicts Three Year Mortality in Cardiovascular Kidney Metabolic Syndrome

Meet the 10 finalists of the Apply AI Startup Award

OncoTagger: a reproducible abstract-level landscape of open-access AI-oncology articles in Web of Science

Background: Periodontitis is one of the most prevalent yet preventable oral diseases, as indicated by multiple clinical and radiographic factors. As these factors are recorded in electronic health records (EHRs), their…

Background: Training mental health clinicians to conduct standardized clinical assessments is challenging due to a lack of scalable, realistic practice opportunities. Traditional methods often fail to prepare trainees…

A scoping review and staged research agenda for artificial intelligence in viscoelastic haemostatic assays

Background: There is tremendous enthusiasm for the use of AI in health care because of the ability to analyze existing data for preventative, diagnostic, and treatment support. Agentic AI can feasibly provide access to…

by Haitao Huang, Lili Feng, Min-Er Zhong, Huifen Ye, Zhenhui Li, Su Yao, Yunrui Ye, Yulin Liu, Minning Zhao, Weixiong Xu, Lifen Yan, ChuanMiao Xie, Changhong Liang, Zaiyi Liu, Tong Tong, Yanfen Cui, Xin-Juan Fan, Ke…

Background: As populations age globally, AI-enabled digital health interventions (DHIs) are increasingly being adopted to support integrated, person-centered care for older adults. However, despite rapid advances in AI…

Beyond the sycophantic vs. cold divide: towards flexible, emotionally intelligent agents to foster healthier human-AI interactions

International Registered Report Identifier (IRRID): RR2-10.2196/49303

Background: The rapid advancement of AI, particularly generative AI (GenAI), is reshaping educational paradigms. However, its utility in preclinical digital medical skills education remains insufficiently explored.…

Background: Subjective cognitive decline (SCD) and mild cognitive impairment (MCI) are heterogeneous clinical states that may represent early or at-risk stages of Alzheimer disease (AD) and other dementias in some…

Background: Surgical site infections (SSIs) remain a major cause of health care; associated infections, and early prediction is essential for improving patient outcomes. Machine learning (ML) has shown potential for…

Healthcare professionals’ perceptions on AI-assisted decision-making in clinical practice: a qualitative meta-synthesis

Influence of physician and consumer demographics on AI-use penalties in primary care: a vignette-based study

Medical AI is often evaluated using aggregate measures of discrimination, calibration, and accuracy. However, these measures can obscure clinically important variation across patient groups, institutions, devices, and…

Background: Implementing digital health technologies is challenging because implementation is shaped by interacting technical, organizational, professional, and contextual factors. Although implementation frameworks…

by Bhavya Gandhi, Leo Morjaria, Imeth Illamperuma, Meha Bhatt, Andrew Kapoor Fever in the returning traveller is a challenging presentation that requires a wide array of clinical expertise and draws on complex medical…

Three in four EU employees faced cyber threats at work, new Eurobarometer finds

by Isabel Schwaninger, Paria Ighanian, Liyousew Borga, Marijus Giraitis, Petra Hoogendoorn, Jochen Klucken App stores provide a range of health applications for people living with Alzheimer’s disease (AD) and…

Vision wearables with artificial intelligence to close the sensory gap in patient characterization

Dr. Remko Schats explores how openEHR could give 2.57 million seafarers secure, portable access to their medical records across borders and healthcare systems.

a Seoul National University Hospital team built a LangChain and GPT-4 Turbo agent that maps bilingual clinical text to SNOMED CT, roughly halving mapping time in a human-AI collaborative workflow validated on 2,261…

Roupen Odabashian, MD has released a hands-on course covering front-end, back-end, GitHub, VS Code and deployment, aimed at healthcare professionals with no coding background .

The live guide sorts any clinician build into green (synthetic or sandboxed prototyping), amber (real patient data or a live clinical workflow) and red (device territory) lanes; last updated 12 October 2026 .

an r/healthIT poster describes a six-role Claude Code pipeline for health data work with human approval gates between roles and a hook that blocks any file write containing a patient identifier, failing closed when the…

a team at Asan Medical Center in Seoul led by clinicians including corresponding author Kye Hwa Lee, MD, PhD, reports that an intensive programme made a multidisciplinary hospital workforce AI-capable with MCP, RAG and…

listed on 14 October as an official partner event of the European Commission's AI Innovation Month; medical students, clinicians, engineers and data scientists build AI prototypes for real clinical problems at IBM…

announced by Michal Nedoszytko, MD PhD, with ideas due 20 October; the challenge runs at HLTH 2026 in Las Vegas, 15 to 18 November 2026 .

The UCLH GP and hospital doctor teaches healthcare professionals how LLMs work and then has them build a working tool with agents; the next session is on 27 October 2026 at 1 Wimpole Street, London, RSM CPD-accredited .

The free one-year NHS England and Anglia Ruskin mentoring programme helps clinical staff build and commercialise their own innovations .

Applications opened on 5 October 2026 and close on 16 November 2026, offering clinically trained NHS staff a route into building and deploying clinical AI

Patient Safety Learning with Silver Buck convenes a roundtable on what AI means for patient safety, aiming to produce practical guidance, a procurement checklist and an AI performance review checklist, with quarterly…

the programme places clinically trained fellows two days a week on live clinical AI deployment projects inside hospital workflows alongside data scientists and software developers; applications run 5 October to 16…

A public breakdown of 108 things clinicians shipped in nine weeks finds 55 built for colleagues, 26 for trainees and only 20 patient-facing, with teaching simulators and ECG tools the biggest cluster, 59 containing no…

MedCity News reports on vibe coding spreading through healthcare, with clinician-builders shipping their own tools rather than waiting for Epic or other vendors to fix their workflow problems (, 2026-10).

Dr Keith Grimes' weekly briefing for the clinician-led AI in the NHS community covers 26 September to 3 October, including the audit trail an AI liability claim will need and whether AI should pretend to be a friend

Dr Ryan Hungate, DDS, orthodontist and chief clinical and strategy officer at Henry Schein One, argues that vibe coding lets the clinician closest to a broken workflow build the first-fix tool themselves, collapsing…

a Dutch write-up argues generative AI turns nurses and doctors into software builders, opening with nurse Brittany Molenaar, who built her own sepsis tool with AI after presenting at the American Builder Summit…

Diego Forero MD PhD reports work benchmarking AI vibe coding for clinical statistical analysis in pulmonary hypertension research, applying the method to live clinical research tasks