Despite the title of the Sunday, June 4 lead-off presentation at the American Society of Clinical Oncology (ASCO) meeting in Chicago, there was little room left for doubt about the increasingly important place of artificial intelligence (AI) in drug development.
Despite the title of the Sunday, June 4 lead-off presentation at the American Society of Clinical Oncology (ASCO) meeting in Chicago, there was little room left for doubt about the increasingly important place of artificial intelligence (AI) in drug development. The program, Artificial Intelligence for Drug Development: Fad or Future, ultimately pointed to a positive future, with the only faddish part being discarded approaches that no longer work.
Despite the title of the Sunday, June 4 lead-off presentation at the American Society of Clinical Oncology (ASCO) meeting in Chicago, there was little room left for doubt about the increasingly important place of artificial intelligence (AI) in drug development.
The U.S. FDA has granted 510(k) clearance to GE Healthcare Technologies Inc. for its Precision DL for PET/CT, an artificial intelligence (AI) and deep learning (DL)-powered software designed to sharpen quality and improve efficiencies in medical imaging. Part of the company’s Effortless Recon DL portfolio, the technology is available on GE’s Omni Legend PET/CT digital scanner.
Wuhan Endoangel Medical Technology Co. Ltd.’s artificial intelligence (AI)-assisted real-time quality control and auxiliary diagnosis system for lower gastrointestinal endoscopy has been approved by China’s NMPA.
Moon Surgical SAS secured a new $55.4 million round of financing to strengthen the development and commercialization of its Maestro robotic system for laparoscopic surgery.
Recent developments may seem to have rendered artificial intelligence (AI) little more than the latest internet sensation, but a presentation at this year’s annual meeting of the Heart Rhythm Society confirms yet again that AI is much more than just a trend. A new AI algorithm paired with a single-lead electrocardiogram accurately predicted the onset of ventricular tachycardia in 88% of patients in an outcome that could enable cardiologists to thwart thousands of sudden cardiac death (SCD) events each year, potentially ushering in a new age of cardiac care across the globe.
The EU’s Artificial Intelligence (AI) Act is still in the thick of the legislative process, which seems likely to ladle even more regulatory liabilities onto AI software used for medical purposes. Bodo Wiegand, senior advisory at Viopsy, told attendees at a May 18 webinar that between the promise of yet more regulation along with existing coverage and reimbursement hurdles in the EU, developers of medical software are considering whether they should steer clear of developments that qualify as AI simply because of the extraordinary time and expense associated with generating revenues for these projects.
Sensydia Corp. reeled in $8 million in a financing round to advance its noninvasive Cardiac Performance System (CPS) platform, which uses heart sound analysis to enable earlier detection and better therapy guidance for patients suffering from heart failure and pulmonary hypertension. The funds will be used to finalize product development, acquire tooling, begin manufacturing and make submissions to the U.S. FDA.
Aidoc Medical Ltd. has just presented a study using its AI tool in the Netherlands Cancers Institute for detection and worklist prioritization to diagnose incidental pulmonary embolism at routine contrast-enhanced chest CT. The results published in Radiology: Cardiothoracic Imaging show a reduction by 15% of the missed rate of incidental pulmonary embolism and by more than 98% of the notification time for positive incidental pulmonary embolism. “Our AI system gives a response related to the interpretation, quantification and workflow management,” Elad Walach, co-founder and CEO of Aidoc Medical, told BioWorld. Due to the growing volume of radiology examinations, particularly in thoracic imaging, and the lack of supply radiologists, the delay between the CT examinations and their interpretation has increased significantly in many practices. This is particularly true for pulmonary embolism (PE).
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