AI now assists doctors on two major fronts: clinical decision-making, with instant access to useful scientific data, and imaging, by detecting anomalies on scans, X-rays or MRIs that are often imperceptible to the human eye. These uses are the focus of a booming global ecosystem. Google Health and Microsoft Healthcare are focusing on automated screening and secure data management; IBM Watson Health (now Merative) is injecting AI into patient records; Owkin is accelerating the search for personalized treatments via federated learning; while Hera-MI, Milvue and Spimed-AI are refining the analysis of medical images.

At the same time, a new generation of assistants (Corti Assistant, Dragon Medical One, MedGPT, etc.) transcribe, structure and enrich exchanges between caregivers and patients. Not to replace practitioners, but to lighten their load, eliminate repetitive tasks and refine their outlook: so many steps towards faster, safer, augmented medicine.

France’s MedGPT, ChatGPT in a white coat

MedGPT is the up-and-coming French medical AI assistant. And it’s the most accessible tool in our selection. Designed for healthcare professionals, it is based on a large language model developed with Mistral AI, trained on some sixty official sources. Unlike generalist AIs, MedGPT is limited to clinical uses: dosage, adverse effects, protocols, recommendations. Each answer is sourced, so that it can be verified by the practitioner.
This AI tool does not replace medical judgment. Au contraire, it reinforces it by providing reliable, contextualized data in a matter of seconds. And having tested it: yes, it’s far more reassuring than a ChatGPT.

Dragon Medical One, the voice that writes

Designed by Nuance (Microsoft), Dragon Medical One has become a world standard in medical dictation. It instantly transforms the practitioner’s voice into text, without any prior training. During a consultation, the doctor dictates observations, writes letters and navigates through the patient’s file, all by voice. The tool integrates with hospital software and generates reports in real time.

Corti Assistant, the invisible scribe

In Copenhagen, Corti has designed a medical assistant conceived as an augmented ear. During a consultation, the tool listens to the conversation between doctor and patient in real time, without interrupting the exchange. In a matter of seconds, it transcribes the speech into text, with clinical precision. AI then extracts the essential facts – age, symptoms, history, duration of complaints – and organizes them according to standardized templates, whether it’s a SOAP note (the standard format used to structure clinical notes), an examination or an emergency report. The result: a structured report, ready to be integrated into the electronic medical record.

Hera-MI, AI with a clinical eye

The name Hera-MI combines the Greek goddess Hera, protector of women, and the initials MI for Medical Imaging. This AI is dedicated to medical imaging, with a focus on breast cancer diagnosis (Breast-SlimView). The aim is to help radiologists focus on the essentials and make screening more reliable, without ever replacing their expert eye. It analyzes images, masks physiologically normal areas and highlights those presenting a potential risk. This method enables radiologists to concentrate on suspect areas and improve the accuracy of screening.

Milvue, the AI of radiology workflow

Milvue applies AI to image management and hospital workflow. As soon as images are taken, they are analyzed, prioritized and annotated; a pre-report is generated for validation. The tool also automates certain orthopedic measurements, and can be integrated without the need for cumbersome installation. Less waiting for patients, more peace of mind for teams.

Spimed-AI, AI with a heart

Cardiovascular disease remains the world’s leading cause of death. Spimed-AI offers CorEx, a tool that analyzes cardiac scans (CCTA) to detect narrowed arteries and estimate their severity. In just one minute, the doctor obtains an assessment of blood flow, without the need for an invasive examination. This is an invaluable aid in deciding whether or not to intervene. The algorithm, trained on thousands of cardiac images, promises a faster, safer and, above all, more humane diagnosis: one that prevents before it cures.

Written in French by Zakaria Choukrallah; edited in English by AngloMedia Group.